{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "960ceacb-3c3f-484c-95b9-172bd009b1a4",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "This is a generic code for drawing a state's Home Districts for neutral map estimation\n",
      "In this code, we use the term 'tract' generically to refer the base building block, usually vtd's\n"
     ]
    }
   ],
   "source": [
    "#  THIS IS THE PRIMARY VERSION TO USE FOR ALL STATES  #See MO for orig 2/10/24.  This one from GA 3-14-24\n",
    "print(\"This is a generic code for drawing a state's Home Districts for neutral map estimation\") #Jan'24\n",
    "print(\"In this code, we use the term 'tract' generically to refer the base building block, usually vtd's\")\n",
    "import shapely\n",
    "from shapely.geometry import Point, LineString, Polygon\n",
    "from shapely.ops import nearest_points, transform\n",
    "from shapely.affinity import translate, scale\n",
    "import geopandas as gpd\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "from numpy import random\n",
    "from scipy.stats import norm\n",
    "from scipy.optimize import minimize, minimize_scalar\n",
    "import math\n",
    "import time\n",
    "import ast\n",
    "# from HDmethods import *   #I want to implement this, but my HDmethods require shapely functions\n",
    "# see https://stackoverflow.com/questions/66877728/proper-way-to-use-import-when-calling-external-function for a future workaround\n",
    "\n",
    "dummyPoly = Polygon([(0,0),(0,1),(1,1)])\n",
    "#handy function for plotting Polygon or multiPolygon tracts and precincts\n",
    "def plotPoly(inputPoly,LW=1):\n",
    "    dummyPoly = Polygon([(0,0),(0,1),(1,1)])\n",
    "    if inputPoly.geom_type == dummyPoly.geom_type:\n",
    "        x,y = inputPoly.exterior.xy\n",
    "        plt.plot(x,y,lw=LW)\n",
    "    else:\n",
    "        for geom in inputPoly.geoms:\n",
    "            if geom.area > 0:  #to avoid error with LineString geom parts\n",
    "                x,y = geom.exterior.xy\n",
    "                plt.plot(x,y,lw=LW)         \n",
    "def plotCenter(t,geom,FONTSIZE=10):\n",
    "    plt.text(geom.centroid.x,geom.centroid.y,t,ha='center',fontsize=FONTSIZE)\n",
    "    \n",
    "def r3(number):\n",
    "    result = round(number,3)\n",
    "    return result\n",
    "\n",
    "def r5(number):\n",
    "    result = round(number,5)\n",
    "    return result\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "id": "2ab4a3d5-f4e7-4aec-b81c-0e786cd35b57",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "def getWeightedAvgAndSD(LIST, WEIGHTS):\n",
    "    nWeights = len(WEIGHTS)\n",
    "    normWeights = [WEIGHTS[i] / np.sum(WEIGHTS) for i in range(nWeights) ]\n",
    "    AVG = 0.\n",
    "    for i, value in enumerate(LIST):\n",
    "        AVG += normWeights[i] * value\n",
    "    sumVar = 0.\n",
    "    for i, value in enumerate(LIST):\n",
    "        sumVar += normWeights[i] * (value - AVG)**2\n",
    "    SD = sumVar ** 0.5     #don't need to normalize again since weights were normalized\n",
    "    return AVG, SD\n",
    "\n",
    "def squish(shapeList, cutLINE, farLINE, newFarLINE):\n",
    "    \"\"\"\n",
    "    This method compresses a list of shapes lying between the cutLINE and the farLINE)\n",
    "    such that the Polygons now lie between the cutLINE and the newFarLINE, which is closer to the cutLINE\n",
    "    Used to compress state outcroppings into a more compact state representation.\n",
    "     (I tried doing this point by point (see #'s), but this overdistorted geometries.)\n",
    "      (#This was a manual alternative to shapely.affinity.scale and .translate operations)\n",
    "       So instead, we run this AFTER established untransformed map topology, and \n",
    "        we simply scale and translate each unit.  This loses true connectivity.\n",
    "        Scaling is all lengths scale by compression of distance\n",
    "    The cut, far, and newFar LineString segments are preferably parallel\n",
    "    The method returns the modified shapes of all pollys\n",
    "    \"\"\"\n",
    "    if cutLINE.intersects(farLINE) or cutLINE.intersects(newFarLINE):\n",
    "        print(\"cutLine,farLine, newFarLine were\",cutLINE, farLINE, newFarLINE)\n",
    "        raise Exception(\"ERROR: the proposed cutLine intersects the current or proposed far line\")\n",
    "    newPollys = list()\n",
    "    for polly in shapeList:\n",
    "        pollyCP = polly.centroid\n",
    "        cutPt =     nearest_points(cutLINE,   pollyCP)[0]\n",
    "        farPt =     nearest_points(farLINE,   pollyCP)[0]\n",
    "        newFarPt =  nearest_points(newFarLINE,pollyCP)[0]\n",
    "        curr_cutX, curr_cutY =            pollyCP.x - cutPt.x, pollyCP.y -  cutPt.y\n",
    "        currFar_CutX , currFar_CutY  =    farPt.x - cutPt.x, farPt.y   -  cutPt.y\n",
    "        new_currFarX, new_currFarY =      newFarPt.x - farPt.x, newFarPt.y - farPt.y\n",
    "        newFar_CutX,  newFar_CutY =       newFarPt.x - cutPt.x, newFarPt.y   -  cutPt.y\n",
    "        distanceRatio = newFarPt.distance(cutPt)/farPt.distance(cutPt) #scale area ^length^2\n",
    "        XOFF,YOFF = 0., 0.\n",
    "        XFACT, YFACT = 1., 1.  #default = no stretch\n",
    "        # basic equation: (new-cut)/(curr-cut) = (newFar-cut)/(currFar - cut)\n",
    "        #  or: (new-curr)  = (curr-cut)*(newFar-currFar)/(currFar - cut)   # -1 to both sides\n",
    "        if currFar_CutX != 0:\n",
    "            XOFF =  curr_cutX * new_currFarX / currFar_CutX\n",
    "            XFACT =              newFar_CutX / currFar_CutX\n",
    "        if currFar_CutY != 0:\n",
    "            YOFF =  curr_cutY * new_currFarY / currFar_CutY\n",
    "            YFACT =              newFar_CutY / currFar_CutY\n",
    "        newPolly = translate(polly,xoff=XOFF,yoff=YOFF)\n",
    "        newPolly = scale(newPolly, xfact=XFACT, yfact=YFACT, origin='centroid')\n",
    "        newPollys.append( newPolly )       \n",
    "    return newPollys\n",
    "\n",
    "def getHDcp(TRACTCP,TRACTPOP, TRACTLIST, SPLITTRACTNO = -777,SPLITTRACTUSE = 1.):  #population centerpoint of a Home District or county (cluster)\n",
    "    cpx, cpy, sumPop = 0.,0., 0.\n",
    "    for tt in TRACTLIST:\n",
    "        USE = 1.\n",
    "        if tt ==    SPLITTRACTNO:\n",
    "            USE =   SPLITTRACTUSE\n",
    "        sumPop += USE*TRACTPOP[tt]\n",
    "        cpx +=    USE*TRACTPOP[tt] * TRACTCP[tt].x\n",
    "        cpy +=    USE*TRACTPOP[tt] * TRACTCP[tt].y\n",
    "    HDCP_ = Point(cpx/sumPop, cpy/sumPop)\n",
    "    return HDCP_\n",
    "\n",
    "#  The below four methods are TO SNAP to HD SHAPES without any solving / iteration\n",
    "def buildWedge(CP,STARTANGLE, ENDANGLE, RR,XSCALE=1.0):\n",
    "    \"\"\"\n",
    "    This method creates triangular wedges from a centerpoint, wedge start and end angles, and wedge radius.\n",
    "    The optional xScale parameter is the ratio of longitude to latitude lengths scales (<<1 for far from equator)\n",
    "    It passes back a SINGLE wedge polygon\n",
    "    \"\"\"\n",
    "    A0 = STARTANGLE\n",
    "    A1 = ENDANGLE\n",
    "    PT1 = Point(CP.x + RR/XSCALE*math.cos(A0),  CP.y + RR*math.sin(A0) )\n",
    "    PT2 = Point(CP.x + RR/XSCALE*math.cos(A1),  CP.y + RR*math.sin(A1) )\n",
    "    WEDGEPOLY = Polygon( [CP,PT1, PT2 ])\n",
    "    return WEDGEPOLY\n",
    "\n",
    "def buildPoly(CP, RADII, ANGLES, XSCALE = 1.0):  #reconstructs a 4-tri polygon from four HD wedges emanating from the centerpoint\n",
    "    Pt = [Point(0,0)]*12                      #xScale has same meaning as in buildWedge\n",
    "    for nW in range(4): \n",
    "        ccwAngle = ANGLES[nW]  #these two are the angles at start and end of nth wedge\n",
    "        cwAngle =  ANGLES[ int((nW+1)%4) ]  \n",
    "        Pt[nW*2] =   Point(CP.x + RADII[nW]/XSCALE*math.cos(ccwAngle), CP.y + RADII[nW]*math.sin(ccwAngle) )\n",
    "        Pt[nW*2+1] = Point(CP.x + RADII[nW]/XSCALE*math.cos( cwAngle), CP.y + RADII[nW]*math.sin( cwAngle) )        \n",
    "    POLLY = Polygon([Pt[0],Pt[1],Pt[2],Pt[3],Pt[4],Pt[5],Pt[6],Pt[7] ])\n",
    "    return POLLY\n",
    "\n",
    "def buildArcPoly(CP, RADII, ANGLES, XSCALE = 1.0):  #reconstructs a fuller polygon from four HD wedges emanating from the centerpoint\n",
    "    twoPi = 2. * 3.1415926   #xScale has same meaning as in buildWedge\n",
    "    POINTS = list()                   \n",
    "    for nW in range(4): \n",
    "        ccwAngle = ANGLES[nW] % twoPi                 #these two are the angles at start and end of nth wedge\n",
    "        cwAngle =  ANGLES[ int((nW+1)%4) ] % twoPi \n",
    "        midAngle = [0.75*ccwAngle + 0.25*cwAngle , 0.25*ccwAngle + 0.75*cwAngle ]  #avoid s sampling cone center for wide angles\n",
    "        if abs (ccwAngle - cwAngle) > 3.1415926 :  #angles straddle angle=0\n",
    "            midAngle = [0.75*(ccwAngle - twoPi) + 0.25*cwAngle , 0.25*(ccwAngle -twoPi) + 0.75*cwAngle ]\n",
    "        angList = [ccwAngle] + midAngle + [cwAngle]\n",
    "        for ang in angList:\n",
    "            POINTS.append(Point(CP.x + RADII[nW]/XSCALE*math.cos(ang), CP.y + RADII[nW]*math.sin(ang) ) )\n",
    "                          \n",
    "    POLLY = Polygon(POINTS)\n",
    "    return POLLY\n",
    "\n",
    "def getPolyPop(POLLY, TRACTCP, TRACTPOP, CANDIDATELIST ):  #simple capture of pop points contained by a polygon\n",
    "    WPOP, WLIST = 0., list()\n",
    "    for tt in CANDIDATELIST:\n",
    "        if POLLY.contains(TRACTCP[tt]):\n",
    "            WPOP += TRACTPOP[tt]\n",
    "            WLIST.append(tt)\n",
    "    return WPOP, WLIST\n",
    "\n",
    "def getNonCPP(POLLY, HC, TRACTCP, TRACTPOP, COUNTYGEOM, COUNTYPOP, COUNTYTRACTLIST, NEIGHBORCOUNTYLIST) : #nonCounty wedgePop\n",
    "    \"\"\"\n",
    "    This method computes the total pop captured by a POLLY polygon for counties contiguous with the Home County (no hop-overs)\n",
    "    , EXCLUDING the home county for the centerpoint of the wedge.  This should be more efficient than probing every unit in the map\n",
    "    After each county is checked, it goes into the checked list so we don't re-check, then we recursively probe county neighbors\n",
    "    \"\"\"\n",
    "    WPOP, WLIST = 0., list()\n",
    "    checkedClist = [HC]   #dynamic list of counties we've already checked.  We probed the home county in getPolyPop\n",
    "    intersectedClist = [HC]\n",
    "    latestClist = [HC]\n",
    "    while len(latestClist) > 0:\n",
    "        newClist = list()    #we loop until we don't find any more neighbors with intersection\n",
    "        for c in latestClist:\n",
    "            for cc in NEIGHBORCOUNTYLIST[c]:\n",
    "                if cc not in checkedClist:\n",
    "                    checkedClist.append(cc)\n",
    "                    if POLLY.intersects(COUNTYGEOM[cc]):\n",
    "                        intersectedClist.append(cc)\n",
    "                        newClist.append(cc)\n",
    "                        if POLLY.contains(COUNTYGEOM[cc]):\n",
    "                            WPOP += COUNTYPOP[cc]\n",
    "                            WLIST += COUNTYTRACTLIST[cc]\n",
    "                        else:\n",
    "                            for tt in COUNTYTRACTLIST[cc]:\n",
    "                                if POLLY.contains(TRACTCP[tt]):\n",
    "                                    WPOP += TRACTPOP[tt]\n",
    "                                    WLIST.append(tt)\n",
    "        #below is temp debug\n",
    "        #print(len(intersectedClist),WPOP, len(WLIST),\"counties probed, pop, len(tractList)\")\n",
    "        latestClist = newClist.copy()\n",
    "    return WPOP, WLIST\n",
    "\n",
    "def getNonHCunits(POLLY, HC, UNITLIST, UNITCP, UNITPOP, ALLFUSEDCOUNTIES, AREAFRAC, COUNTYGEOM, \n",
    "                  NEIGHBORCOUNTYLIST, COUNTYUNITLIST):\n",
    "    \"\"\"\n",
    "    This method computes the total pop captured by a POLLY polygon for counties contiguous with the Home County (no hop-overs)\n",
    "    , EXCLUDING the home county.  This should be more efficient than probing every unit in the map\n",
    "    After each county is checked, it goes into the checked list so we don't re-check, then we recursively probe county neighbors\n",
    "    \"unit counties\" are added as whole units if a sufficient area fraction is captured.  For non-unitCs, we probe each component vtd / tract\n",
    "    \"\"\"\n",
    "    UPOP, ULIST = 0., list()\n",
    "    checkedClist = [HC]   #dynamic list of counties we've already checked.  We probed the home county before we called this method\n",
    "    intersectedClist = [HC]\n",
    "    latestClist = [HC]\n",
    "    while len(latestClist) > 0:\n",
    "        newClist = list()    #we loop until we don't find any more neighbors with intersection\n",
    "        #1/9/24 - NEED TO MODIFY THE ORDER BELOW TO AVOID CREATING HOLES AND ENCLAVES ########################\n",
    "        \n",
    "        for c in latestClist:\n",
    "            for cc in list( set(NEIGHBORCOUNTYLIST[c]).difference(set(ALLFUSEDCOUNTIES)) ):\n",
    "                if cc not in checkedClist:\n",
    "                    checkedClist.append(cc)\n",
    "                    if POLLY.intersects(COUNTYGEOM[cc]):\n",
    "                        if cc+0.5 in UNITLIST:\n",
    "                            if POLLY.intersection(COUNTYGEOM[cc]).area >=  AREAFRAC[cc] * COUNTYGEOM[cc].area :\n",
    "                                intersectedClist.append(cc)   #for unit counties, intersections only count if they capture sufficient area\n",
    "                                newClist.append(cc)\n",
    "                                UPOP += UNITPOP[UNITLIST.index(cc+0.5)]\n",
    "                                ULIST.append( UNITLIST.index(cc+0.5) )\n",
    "                        else:                           \n",
    "                            intersectedClist.append(cc)\n",
    "                            newClist.append(cc)\n",
    "                            if POLLY.contains(COUNTYGEOM[cc]):\n",
    "                                unitsToAdd = COUNTYUNITLIST[cc]\n",
    "                                UPOP += np.sum(  [ UNITPOP[uu] for uu in unitsToAdd ]  )\n",
    "                                ULIST += unitsToAdd\n",
    "                            else:\n",
    "                                for uu in COUNTYUNITLIST[cc]:\n",
    "                                    if POLLY.contains(UNITCP[uu]):\n",
    "                                        UPOP += UNITPOP[uu]\n",
    "                                        ULIST.append(uu)\n",
    "        latestClist = newClist.copy()\n",
    "        \n",
    "    return UPOP, ULIST\n",
    "\n",
    "def clusterSwell(CP_, CCBgeom, CCBpop, allUnits, unitCP, unitPop, unitNbrs, TGTPOP):\n",
    "    \"\"\"\n",
    "    This method grows a Home District by \"swelling\" from a corner county cluster.  First, we add the full cluster,\n",
    "     then we add closest neighbor units to the home district centerpoint CP_ until we reach the TGTPOP\n",
    "     \"\"\"\n",
    "    #global borderUnits\n",
    "    hd_CCBdist = [CP_.distance(geo) for geo in CCBgeom]\n",
    "    CCBno = hd_CCBdist.index(np.min(hd_CCBdist))  #ID's the closest cluster to this HD center.  Should contain the HD, but rarely will not\n",
    "    unitNo = allUnits.index(CCBno+0.25)\n",
    "    newList, prevList, addedList, addedPop = [unitNo], [unitNo], [unitNo], unitPop[unitNo]  #seed with the cluster pop and unit\n",
    "    while addedPop < 0.99 * TGTPOP and len(newList) > 0:\n",
    "        trySet = set(list())\n",
    "        for U in addedList:\n",
    "            trySet = trySet.union(set(unitNbrs[U] ) )\n",
    "        tryList = list( trySet.difference(set(addedList)) )\n",
    "        tryDist = [ CP_.distance(unitCP[UU]) for UU in tryList ]\n",
    "        idx = np.argsort(tryDist)\n",
    "        idxNo, newList = 0, list()\n",
    "        haveNotAdded = True\n",
    "        while idxNo < len(tryList) and haveNotAdded:\n",
    "            UU = tryList[idx[idxNo]]\n",
    "            if unitPop[UU] + addedPop < 1.01 * TGTPOP and wontEnclave(UU, addedList, unitNbrs, borderUnits) :\n",
    "                newList.append(UU)\n",
    "                addedList.append(UU)\n",
    "                addedPop += unitPop[UU]\n",
    "                haveNotAdded = False\n",
    "            idxNo +=1\n",
    "        prevList = newList.copy()\n",
    "        \n",
    "    return addedPop, addedList\n",
    "            \n",
    "def getFakeHC(HDPOLLY, HC, CCBlist, countyGeom, MAP) :\n",
    "    \"\"\"\n",
    "    This method is for setting a fake home county for counties in corner clusters, so that county neighbors can be found budding from the \"home county\"\n",
    "    We pick the county in the cluster closest to the map center and intersecting the HDpoly.  This will be an active county on the cluster boundary   \n",
    "    \"\"\"\n",
    "    MAPcenter = MAP.centroid\n",
    "    for L in CCBlist:\n",
    "        if HC in L:\n",
    "            distList, cList = list(), list()\n",
    "            for C in L:\n",
    "                if HDPOLLY.intersects(countyGeom[C]):\n",
    "                    distList.append(countyGeom[C].distance(MAPcenter))\n",
    "                    cList.append(C)\n",
    "    fakeHC = cList[distList.index(np.min(distList)) ]\n",
    "    return fakeHC\n",
    "\n",
    "def getLongDist(CP1, CP2, xScale = 1.0): #distance between two points with EW distance scaled down by latitude\n",
    "    #LAT = MAP.centroid.y\n",
    "    #xScale = (1. - 1.089* abs(LAT/90)**1.9)\n",
    "    dist = ( xScale*xScale * (CP1.x - CP2.x)*(CP1.x - CP2.x)  +  (CP1.y - CP2.y)*(CP1.y - CP2.y) ) **0.5 \n",
    "    return dist\n",
    "\n",
    "# THESE ARE THE METHODS USED IN SOLVING HD SHAPES\n",
    "def buildWedge(CP,STARTANGLE, ENDANGLE, RR,XSCALE=1.0):\n",
    "    \"\"\"\n",
    "    This method creates triangular wedges from a centerpoint, wedge start and end angles, and wedge radius.\n",
    "    It passes back a SINGLE wedge polygon\n",
    "    \"\"\"\n",
    "    A0 = STARTANGLE\n",
    "    A1 = ENDANGLE\n",
    "    PT1 = Point(CP.x + RR/XSCALE*math.cos(A0),  CP.y + RR*math.sin(A0) )\n",
    "    PT2 = Point(CP.x + RR/XSCALE*math.cos(A1),  CP.y + RR*math.sin(A1) )\n",
    "    WEDGEPOLY = Polygon( [CP,PT1, PT2 ])\n",
    "    return WEDGEPOLY\n",
    "\n",
    "def getCountyWP(T, WEDGEPOLY, TRACTCP, TRACTPOP, CANDIDATELIST ):  #simple capture of pop points in a wedge excluding a point\n",
    "        WPOP, WLIST = 0., list()\n",
    "        for tt in CANDIDATELIST:\n",
    "            if tt != T and WEDGEPOLY.contains(TRACTCP[tt]):\n",
    "                WPOP += TRACTPOP[tt]\n",
    "                WLIST.append(tt)\n",
    "        return WPOP, WLIST\n",
    "\n",
    "def getNonCWP(WEDGEPOLY, HC, TRACTCP, TRACTPOP, COUNTYGEOM, COUNTYPOP, COUNTYTRACTLIST, NEIGHBORCOUNTYLIST) : #nonCounty wedgePop\n",
    "    \"\"\"\n",
    "    This method computes the total pop captured by an infinite polygonal wedge for counties contiguous with the Home County (no hop-overs)\n",
    "    , EXCLUDING the home county for the centerpoint of the wedge.  This should be more efficient than going tract-by-tract\n",
    "    After each county is checked, it goes into the checked list so we don't re-check.  Next round = nonchecked neighbors of current round\n",
    "    \"\"\"\n",
    "    WPOP, WLIST = 0., list()\n",
    "    checkedClist = [HC]\n",
    "    intersectedClist = [HC]\n",
    "    latestClist = [HC]\n",
    "    while len(latestClist) > 0:\n",
    "        newClist = list()    #we loop until we don't find any more neighbors with intersection\n",
    "        for c in latestClist:\n",
    "            for cc in NEIGHBORCOUNTYLIST[c]:\n",
    "                if cc not in checkedClist:\n",
    "                    checkedClist.append(cc)\n",
    "                    if WEDGEPOLY.intersects(COUNTYGEOM[cc]):\n",
    "                        intersectedClist.append(cc)\n",
    "                        newClist.append(cc)\n",
    "                        if WEDGEPOLY.contains(COUNTYGEOM[cc]):\n",
    "                            WPOP += COUNTYPOP[cc]\n",
    "                            WLIST += COUNTYTRACTLIST[cc]\n",
    "                        else:\n",
    "                            for tt in COUNTYTRACTLIST[cc]:\n",
    "                                if WEDGEPOLY.contains(TRACTCP[tt]):\n",
    "                                    WPOP += TRACTPOP[tt]\n",
    "                                    WLIST.append(tt)\n",
    "        #below is temp debug\n",
    "        #print(len(intersectedClist),WPOP, len(WLIST),\"counties probed, pop, len(tractList)\")\n",
    "        latestClist = newClist.copy()\n",
    "    return WPOP, WLIST\n",
    "\n",
    "def isIncludedA(STARTa, ENDa, TESTa): #determines if a test angle is between a start and end angle (True)\n",
    "    \"\"\"\n",
    "    The start angle must be less than the end angle when placed on the [0, 2 pi] interval  (ccw convention)\n",
    "    \"\"\"\n",
    "    pi = 3.141592653\n",
    "    STARTa, ENDa, TESTa = STARTa % (2.*pi), ENDa % (2.*pi), TESTa % (2.*pi)  #place on the 2pi interval\n",
    "    isIncludedA = False\n",
    "    if STARTa  > ENDa :  #included angle straddles east\n",
    "        if   TESTa  >= STARTa or TESTa < ENDa :  #near-east between the two\n",
    "            isIncludedA = True\n",
    "    else:\n",
    "        if TESTa >= STARTa and TESTa < ENDa :  #normal case\n",
    "            isIncludedA = True\n",
    "    return isIncludedA\n",
    "\n",
    "def getNonCWP_c(STARTANGL, ENDANGL, HC, TRACTCP,TRACTPOP,COUNTYGEOM,COUNTYPOP,COUNTYTRACTLIST,\n",
    "                                    NEIGHBORCOUNTYLIST, UUDIST, UUANGLE, WEDGEPOLY) :\n",
    "    \"\"\"\n",
    "    This method computes the total pop captured by a polygonal wedge for counties contiguous with the Home County (no hop-overs),\n",
    "    EXCLUDING the home county for the centerpoint of the wedge.  This should be more efficient than going tract-by-tract\n",
    "    After each county is checked, it goes into the checked list so we don't re-check.  Next round = nonchecked neighbors of current round\n",
    "    Unlike its getNonCWP vanilla parent, this one uses angles rather than infinite wedges for units (still wedges for counties)\n",
    "    \"\"\"\n",
    "    WPOP, WLIST = 0., list()\n",
    "    checkedClist = [HC]\n",
    "    intersectedClist = [HC]\n",
    "    latestClist = [HC]\n",
    "    while len(latestClist) > 0:\n",
    "        newClist = list()    #we loop until we don't find any more neighbors with intersection\n",
    "        for c in latestClist:\n",
    "            for cc in NEIGHBORCOUNTYLIST[c]:\n",
    "                if cc not in checkedClist:\n",
    "                    checkedClist.append(cc)\n",
    "                    if WEDGEPOLY.intersects(COUNTYGEOM[cc]):\n",
    "                        intersectedClist.append(cc)\n",
    "                        newClist.append(cc)\n",
    "                        if WEDGEPOLY.contains(COUNTYGEOM[cc]):\n",
    "                            WPOP += COUNTYPOP[cc]\n",
    "                            WLIST += COUNTYTRACTLIST[cc]\n",
    "                        else:\n",
    "                            for tt in COUNTYTRACTLIST[cc]:\n",
    "                                if isIncludedA(STARTANGL, ENDANGL, UUANGLE[tt]): #WEDGEPOLY.contains(TRACTCP[tt]):\n",
    "                                    WPOP += TRACTPOP[tt]\n",
    "                                    WLIST.append(tt)\n",
    "        #below is temp debug\n",
    "        #print(len(intersectedClist),WPOP, len(WLIST),\"counties probed, pop, len(tractList)\")\n",
    "        latestClist = newClist.copy()\n",
    "    return WPOP, WLIST\n",
    "\n",
    "def getExitAngle(CP,WEDGEPOLY, MAP, A0, A1):\n",
    "    \"\"\"\n",
    "    This code determines the orientation angle from a CenterPoint to the intersection of a wedge with an exterior boundary\n",
    "    If an intersection is not found, we just take the average angle of the wedge start/stop angles A0, A1 as this orientation angle\n",
    "    MAP must be a single polygon for this to work in the revised code (tho could run thru all polygons in MAP if a multipolygon)\n",
    "    \"\"\"\n",
    "    EXITANGLE = 0.5* (A0 + A1) #this will be the angle from the x-axis to the exit beeline\n",
    "    if WEDGEPOLY.intersects(MAP.exterior):\n",
    "        edgeLine = WEDGEPOLY.intersection(MAP.exterior) #true state boundary line where wedge crossed it\n",
    "        closePoint = nearest_points(edgeLine,CP)[0]\n",
    "        dx = closePoint.x - CP.x       #this and below lines were indented in original code***\n",
    "        dy = closePoint.y - CP.y\n",
    "        EXITANGLE =  pi/2. * np.sign(dy)  #default in case dx=0\n",
    "        if (dx != 0. ):\n",
    "            EXITANGLE = math.atan(dy/dx) + random.uniform(-0.01,0.01) #add wiggle to avoid exact NESW orientation in gridded states\n",
    "            if dx < 0. :  #use complementary atan solution; boundary is west of tract centroid\n",
    "                EXITANGLE = pi + EXITANGLE\n",
    "    return EXITANGLE # this reorients 0th wedge to face boundary's closest point\n",
    "\n",
    "def getNewAngles(mWP, tWP, ADP, LEVEL_L, MINADJRATIO, MAXANGLE, MAXANGLERATIO, nUNFILLEDWEDGES): \n",
    "    \"\"\"\n",
    "    This method classifies Home Districts based on how their post-reoriented equi-angle max wedge pops stack up vs targets,\n",
    "     then changes wedge angles in some situations to pick up more population along the boundary\n",
    "    If there is one wedge that will fall short of a quarter district pop, then we adjust angles if it is sufficiently short    \n",
    "    (Using \"HD2\" code, the opposite wedge's pop will be constrained as well.)\n",
    "    If there are two opposite-facing constrained wedges, we do not adjust angles\n",
    "    If there are two adjacent constrained wedges, we classify as a corner (no angle change) if the adjacent wedge is sufficiently constrained,\n",
    "      otherwise we treat as a single constrained wedge\n",
    "    If there are three constrained wedges, the angles are unchanged; we use the 4th wedge to pick up all pop\n",
    "    If all four wedges are constrained, there is an error and we raise a flag.\n",
    "    mWP is the quadlist of maxWedgePops we would get by extending each wedge to the MAP boundary\n",
    "    tWP is the quadlist of targetWedgePops\n",
    "    LEVEL_L is the non-dimensional distance to the boundary at which we no longer adjust wedge angles to drive more near-boundary pop\n",
    "    MAXANGLERATIO is the max ratio of the wide angle (facing the boundary) to the normal angle (e.g. 90deg for four wedges) ...\n",
    "    but this is truncated near-boundary to MAXANGLE (e.g. 1.8 pi/2 instead of increasing all the way to 1.9 pi/2)\n",
    "      NOTE THAT this code does not consider nearly-shorted wedges -- those are a separate method called later if all mWP's > tWP's\n",
    "    \"\"\"   \n",
    "    isChange = False   #default; we are NOT changing angles\n",
    "    printDebuggg = False\n",
    "    NWEDGES = len(mWP)\n",
    "    avgWedgeAngle = 2.*math.pi / NWEDGES\n",
    "    minW = mWP.index(np.min(mWP))  #index of the wedge with the lowest max wedge pop\n",
    "    oppW = int( int(minW + NWEDGES/2) % NWEDGES )  #and its opposing wedge\n",
    "    Lstar = ( mWP[minW] / (0.25*ADP) )**0.5  #shortest wedge's nondim'l distance to boundary\n",
    "    \n",
    "    case = \"keep same wedge angles\" #default; no unfillable wedges or all but one are unfillable\n",
    "    if nUNFILLEDWEDGES >= NWEDGES:\n",
    "        raise Exception(\"ERROR! ALL WEDGES ARE CONSTRAINED for tract\",t,\".  IMPOSSIBLE!!\")\n",
    "    if nUNFILLEDWEDGES == 1:\n",
    "        case = \"constrain opp wedge\"\n",
    "        if Lstar >= levelL :\n",
    "            case = \"keep same wedge angles\"  #not close enough to boundary to distort HD shape\n",
    "    if nUNFILLEDWEDGES == 0 or nUNFILLEDWEDGES == NWEDGES - 1:  #far from boundary or with only one wedge w/large pop\n",
    "        case = \"keep same wedge angles\"   \n",
    "    if nUNFILLEDWEDGES == 2:  #must determine if opposite or adjacent           \n",
    "        if mWP[oppW] < tWP[oppW]:  #shorted wedges oppose each other, so ...\n",
    "            case = \"keep same wedge angles\" #...the HD shape will naturally widen to pick up adjacent pop\n",
    "        else:  #we have 2 adjacent (non-opposing) shorted wedges... but how shorted?  ID the adjacent wedge\n",
    "            for nW in range(NWEDGES):\n",
    "                if mWP[nW] < tWP[nW] and nW != minW :\n",
    "                    adjW = nW  #this is the adjacent wedge\n",
    "                    adjRatio = mWP[adjW] / tWP[adjW]\n",
    "            if adjRatio < minAdjRatio:  #we're close to a corner (this adjacentWedge is significantly constrained)\n",
    "                case = \"keep same wedge angles\"\n",
    "                if printDebuggg :\n",
    "                    print(\"Not adjusting wedge angles for tract\",t,\"as 2nd-sparsest wedge\",adjW,\"has pop\",mWP[adjW] )\n",
    "            else:\n",
    "                case = \"constrain opp wedge\"  #we will set the angles and target pops as if the adj wedge were not constrained\n",
    "    \n",
    "    if case == \"keep same wedge angles\":\n",
    "        isChange = False\n",
    "        WEDGEANGLE = [avgWedgeAngle for w in range(NWEDGES) ]\n",
    "\n",
    "    if case == \"constrain opp wedge\":  #Here, we modify wedge angles.  MWP's will be recalc'd outside the method\n",
    "        isChange = True  \n",
    "        wideAngle = min(MAXANGLE, avgWedgeAngle*max(  1,( 1.+(MAXANGLERATIO-1.)*(LEVEL_L - Lstar)/(LEVEL_L - 0.) )  ) )\n",
    "        WEDGEANGLE = [(2.*pi - 2. * wideAngle)/ (NWEDGES - 2.) for w in range(NWEDGES) ]  \n",
    "        WEDGEANGLE[minW] = wideAngle\n",
    "        WEDGEANGLE[oppW] = wideAngle\n",
    "    \n",
    "    return isChange, WEDGEANGLE\n",
    "\n",
    "def rebalanceTWPs(MWP, TWP, BARREDLIST=list()):\n",
    "    \"\"\"\n",
    "    This method iteratively increases targetWedgePops to accommodate wedges that have maxWedgePop < targetWedgePop.\n",
    "    The wedgePop gap is distributed equally among wedges that have some capacity and are not BARRED (e.g. an opposite wedge in HD2 method)\n",
    "     (If this pushes some wedges over capacity, this will be fixed in a later run through loop inside this method)\n",
    "    We also flag which wedges \"will fill\" = have sufficient capacity after the rebalancing of the targets to not use the entire maxWedgePoly\n",
    "    \"\"\"\n",
    "    DEBUGrTWP = False\n",
    "    NWEDGES = len(MWP)\n",
    "    unorderedCapacity = [MWP[w] - TWP[w] for w in range(NWEDGES) ]\n",
    "    idx = np.argsort(unorderedCapacity)\n",
    "    #for nn in range(NWEDGES):\n",
    "    #    print(MWP[idx[nn]])\n",
    "    if np.min(TWP) < 0.99 * np.average(TWP) and DEBUGrTWP:  #debug\n",
    "        for nn in range(NWEDGES):\n",
    "            print(\"barred list, orig MWP, TWP\",BARREDLIST, r3(MWP[nn]),r3(TWP[nn]) )\n",
    "    \n",
    "    for nn in range(NWEDGES):  #going from least to most maxWedgePop here ...\n",
    "        nW = idx[nn]\n",
    "        if MWP[nW] < TWP[nW]: #need to redistribute extra target to higher-capacity wedges ...\n",
    "            wedgePopGap = TWP[nW] - MWP[nW]\n",
    "            TWP[nW] = MWP[nW]  #max out this wedge\n",
    "            nReceivers = 0.\n",
    "            for WW in range(NWEDGES):\n",
    "                if MWP[WW] > TWP[WW] and WW not in BARREDLIST:  #this wedge could take at least a little more ....\n",
    "                    nReceivers += 1.\n",
    "            for WW in range(NWEDGES):\n",
    "                if MWP[WW] > TWP[WW] and WW not in BARREDLIST:  #this wedge could take at least a little more ....                    \n",
    "                    TWP[WW] += wedgePopGap / nReceivers  #... so give it equal share of the gap, even if this goes over; we'll correct in later loop\n",
    "                    \n",
    "    WILLFILL = [1]*NWEDGES\n",
    "    for nW in range(NWEDGES):\n",
    "        if MWP[nW] < 1.001* TWP[nW]:  #required pop nearly or truly requires the entire wedge\n",
    "            WILLFILL[nW] = 0 \n",
    "    if np.min(TWP) < 0.99 * np.average(TWP) and DEBUGrTWP:  #debug\n",
    "        print(\"adjusted TWP's are\",TWP)\n",
    "    return TWP, WILLFILL\n",
    "\n",
    "def solveWedge(nontractTWP,t, hC, STARTANGLE, ENDANGLE, MAXD, TOLERPOPS, tractCP, tractPop,\n",
    "               countyTractList, countyGeom, countyPop, neighborCountyLIST,XSCALE=1.0):\n",
    "    \"\"\"\n",
    "    #### NO LONGER USED; SEE FASTER SOLVEWEDGEB BASED ON UNIT-UNIT DISTANCES  *********\n",
    "    This heart of the code solves the wedge radius that gives the closest wedgePop to the TargetWedgePop (which excludes the home tractPop)\n",
    "    The wedge has a fixed starting and ending angle.  Its maximum diameter is angle-related to max diameter of the state map\n",
    "    It uses bisection, NOT scipy minimize to minimize the square error in the wedge pop vs. target\n",
    "    The method passes back the final wedge pop and list of tracts in the wedge\n",
    "    \"\"\"\n",
    "    chgLoopNo, maxLoopNo = 10., 22.  #when we will start relaxing the pop tolerance, and when we give up\n",
    "    includedAngl = ENDANGLE - STARTANGLE\n",
    "    guessedR = MAXD / math.cos(0.5*includedAngl)  #max possible wedge radius, accounting for possible wide angle\n",
    "    popTol = TOLERPOPS[0]  #default tolerance = e.g. within 0.7 an AVERAGE tract's population.\n",
    "    #                      We loosen toward half the MAX tractPop if not converging\n",
    "    \n",
    "    offsetPop = 88888888.  #to force a reduction the first time through the loop\n",
    "    dr = guessedR\n",
    "    loopNo = 0\n",
    "    while abs(offsetPop) > popTol and loopNo < maxLoopNo:\n",
    "        loopNo +=1\n",
    "        popTol = max(TOLERPOPS[0], TOLERPOPS[0] + (TOLERPOPS[1] - TOLERPOPS[0]) * (loopNo - chgLoopNo) / (maxLoopNo - chgLoopNo) )\n",
    "        dr = 0.5*dr\n",
    "        guessedR -= dr*np.sign(offsetPop)\n",
    "        \n",
    "        guessedPoly = buildWedge(tractCP[t],STARTANGLE, ENDANGLE, guessedR,XSCALE) \n",
    "        iCP, iClist =  getCountyWP(t,guessedPoly, tractCP, tractPop, countyTractList[hC])\n",
    "        nonCP, nonClist = getNonCWP(guessedPoly, hC, tractCP, tractPop, countyGeom, countyPop, countyTractList, neighborCountyLIST)\n",
    "        offsetPop = iCP + nonCP - nontractTWP\n",
    "        #print(t,loopNo,r5(guessedR),int(iCP),int(nonCP),r3(offsetPop+nontractTWP),r3(nontractTWP),\"t,loop,R,iCP,nonCP,pop,target\")\n",
    "        if loopNo >= maxLoopNo-1:\n",
    "            print(\"WARNING. Looped\",loopNo,\"times for t,angles,R\",t,r3(STARTANGLE),r3(ENDANGLE),r5(guessedR),\n",
    "                  \"wedgePop offset, target are\",int(offsetPop), int(nontractTWP) )    \n",
    "    finalPop = iCP + nonCP\n",
    "    finalList = iClist + nonClist\n",
    "    return finalPop, finalList, guessedR, loopNo\n",
    "\n",
    "#above = bisection.  Below solveWedgeB uses static unit-unit distances\n",
    "# Also tried scipy minimize, which doesn't seem any faster\n",
    "\n",
    "def solveWedgeB(nontractTWP,T, HC, POLLY, TOLERPOP, TRACTCP, TRACTPOP, COUNTYNO,\n",
    "               COUNTYTRACTLIST, COUNTYGEOM, NEIGHBORCOUNTYLIST, UUDIST):\n",
    "    \"\"\"\n",
    "    This heart of the code solves the wedge radius that gives the closest wedgePop to the TargetWedgePop\n",
    "    We first determine which counties intersect the maxWedgePop to reduce the candidate list\n",
    "    We then go through the tract list from closest to farthest, adding any (from candidate counties) that intersect,\n",
    "     until the target pop is reached. Note that the passed UUDIST is the slice for unit t, not the full 2x2 array\n",
    "    \"\"\"\n",
    "    popTol = TOLERPOP  #default tolerance = e.g. within 0.7 an AVERAGE tract's population.\n",
    "    \n",
    "    #preliminary - restrict the found units to those in contiguous counties to the home county\n",
    "    checkedClist = [HC]\n",
    "    intersectedClist = [HC]\n",
    "    latestClist = [HC]\n",
    "    while len(latestClist) > 0:\n",
    "        newClist = list()    #we loop until we don't find any more neighbors with intersection\n",
    "        for c in latestClist:\n",
    "            for cc in NEIGHBORCOUNTYLIST[c]:\n",
    "                if cc not in checkedClist:\n",
    "                    checkedClist.append(cc)\n",
    "                    if POLLY.intersects(COUNTYGEOM[cc]):\n",
    "                        intersectedClist.append(cc)\n",
    "                        newClist.append(cc)\n",
    "        latestClist = newClist.copy()\n",
    "    \n",
    "    idx = np.argsort(UUDIST)  #sort order from closest to farthest to the home unit\n",
    "    \n",
    "    i, capturedPop, capturedList = 0, 0, list()\n",
    "    notFull = True\n",
    "    while notFull :  #capturedPop < nontractTWP - popTol : \n",
    "        i +=1    #this skips over the home tract\n",
    "        TT = idx[i]\n",
    "        if COUNTYNO[TT] in intersectedClist and TT != T:  #just to be sure\n",
    "            if POLLY.contains(TRACTCP[TT]):\n",
    "                capturedPop += TRACTPOP[TT]\n",
    "                capturedList.append(TT)\n",
    "                latestDist = UUDIST[TT]\n",
    "            if capturedPop > nontractTWP - popTol:\n",
    "                notFull = False\n",
    "                \n",
    "    return capturedPop, capturedList, latestDist    \n",
    "\n",
    "def solveWedgeC(nontractTWP,T, HC, POLLY, STARTANGL, ENDANGL, TOLERPOP, TRACTCP, TRACTPOP, COUNTYNO,\n",
    "               COUNTYTRACTLIST, COUNTYGEOM, NEIGHBORCOUNTYLIST, UUDIST, UUANGLE):\n",
    "    \"\"\"\n",
    "    This heart of the code solves the wedge radius that gives the closest wedgePop to the TargetWedgePop\n",
    "    We first determine which counties intersect the maxWedgePop to reduce the candidate list\n",
    "    We then go through the tract list from closest to farthest, adding any (from candidate counties) that\n",
    "    fall within the angle range (in lieu of wedgeB's check for intersection),\n",
    "     until the target pop is reached. Note that the passed UUDIST is the slice for unit t, not the full 2D array\n",
    "    \"\"\"\n",
    "    pi = 3.141592653\n",
    "    popTol = TOLERPOP  #default tolerance = e.g. within 0.7 an AVERAGE tract's population.\n",
    "    STARTANGL, ENDANGL = STARTANGL % (2.*pi), ENDANGL % (2.*pi)\n",
    "    #preliminary - restrict the found units to those in contiguous counties to the home county\n",
    "    checkedClist = [HC]\n",
    "    intersectedClist = [HC]\n",
    "    latestClist = [HC]\n",
    "    while len(latestClist) > 0:\n",
    "        newClist = list()    #we loop until we don't find any more neighbors with intersection\n",
    "        for c in latestClist:\n",
    "            for cc in NEIGHBORCOUNTYLIST[c]:\n",
    "                if cc not in checkedClist:\n",
    "                    checkedClist.append(cc)\n",
    "                    if POLLY.intersects(COUNTYGEOM[cc]):\n",
    "                        intersectedClist.append(cc)\n",
    "                        newClist.append(cc)\n",
    "        latestClist = newClist.copy()\n",
    "    \n",
    "    idx = np.argsort(UUDIST)  #sort order from closest to farthest to the home unit\n",
    "    \n",
    "    i, capturedPop, capturedList, latestDist = 0, 0, list(), 0.00001  #dummy value\n",
    "    notFull = True\n",
    "    while notFull and i < len(UUDIST) - 2 :  #capturedPop < nontractTWP - popTol : \n",
    "        i +=1    #this skips over the home tract\n",
    "        TT = idx[i]\n",
    "        if COUNTYNO[TT] in intersectedClist and TT != T:  #just to be sure\n",
    "            if isIncludedA(STARTANGL, ENDANGL, UUANGLE[TT]) : #POLLY.contains(TRACTCP[TT]):\n",
    "                capturedPop += TRACTPOP[TT]\n",
    "                capturedList.append(TT)\n",
    "                latestDist = UUDIST[TT]\n",
    "            if capturedPop > nontractTWP - popTol:\n",
    "                notFull = False\n",
    "                \n",
    "    return capturedPop, capturedList, latestDist \n",
    "\n",
    "\n",
    "def getPartialTract(t, HDTRACTLIST, offsetPop, UUDIST, tractPop, neighborLIST):\n",
    "    \"\"\"\n",
    "    If offsetPop is >0, this method identifies the tract with centroid farthest from Home t that can jettison at least offsetPop ...\n",
    "    ... by slicing out part of this tract.\n",
    "    If offsetPop <0, we ID a tract CLOSEST to Home t among neighbors of in-HD tracts to pick up a partial\n",
    "    We return the tractID and its new partial use\n",
    "    We have updated this method to pass the uuDist slice for tract t instead of computing tract distances inside here\n",
    "    \"\"\"\n",
    "    debugGPT = False\n",
    "    NTRACTS = len(tractCP)\n",
    "    bigDist = 9999999.\n",
    "    qualifyingTractList = list()\n",
    "    isWholeTract = False\n",
    "    if offsetPop > 0:\n",
    "        homeDist = [0.]*NTRACTS  #default = 0 to not get picked\n",
    "        for TT in HDTRACTLIST:\n",
    "            if tractPop[TT] > offsetPop:\n",
    "                qualifyingTractList.append(TT)\n",
    "        for TT in qualifyingTractList:\n",
    "            homeDist[TT] = UUDIST[TT]\n",
    "        if len(qualifyingTractList) == 0:  #very rare case where all in-HD tracts are too small.  Jettison nearly the whole farthest one\n",
    "            isWholeTract = True\n",
    "            for TT in HDTRACTLIST:\n",
    "                if tractPop[TT] > 0.9*np.average(tractPop): #set arbitrary min qualifying pop\n",
    "                    homeDist[TT] = UUDIST[TT]\n",
    "        targetT = homeDist.index(np.max(homeDist))\n",
    "        partialUseFrac = max(0.0001,(tractPop[targetT] - offsetPop)/tractPop[targetT] )\n",
    "        if debugGPT:\n",
    "            print(\"positive offsetPop =\",offsetPop,\", ID'd tract\",targetT,\"with pop\",tractPop[targetT] )\n",
    "    else: #pick up a partial\n",
    "        homeDist = [bigDist]*NTRACTS\n",
    "        for TT in HDTRACTLIST:\n",
    "            for TTT in neighborList[TT]:\n",
    "                if TTT not in qualifyingTractList and TTT not in HDTRACTLIST and tractPop[TTT] > abs(offsetPop):\n",
    "                    qualifyingTractList.append(TTT)\n",
    "        for TTT in qualifyingTractList:\n",
    "            homeDist[TTT] = UUDIST[TTT]\n",
    "        if len(qualifyingTractList) == 0 :  #rare case where most nearby tracts are small.  Add nearly the whole biggest one\n",
    "            isWholeTract = True\n",
    "            maxPop = 0.\n",
    "            targetT = -999\n",
    "            for TT in HDTRACTLIST:\n",
    "                for TTT in neighborList[TT]:\n",
    "                    if TTT not in qualifyingTractList and TTT not in HDTRACTLIST : # we'll take just one, even if doesn't fill gap\n",
    "                        qualifyingTractList.append(TTT)\n",
    "            for TTT in qualifyingTractList:\n",
    "                if tractPop[TTT] > maxPop:\n",
    "                    targetT = TTT\n",
    "                    maxPop = tractPop[targetT]\n",
    "        else:\n",
    "            targetT = homeDist.index(np.min(homeDist))\n",
    "        partialUseFrac = min(0.9999, -1.* offsetPop/tractPop[targetT] )\n",
    "        if debugGPT:\n",
    "            print(t,\"'s negative offsetPop =\",offsetPop,\", ID'd tract\",targetT,\"with pop\",tractPop[targetT] )\n",
    "    \n",
    "    return targetT, partialUseFrac\n",
    "\n",
    "def getAdjoiners(UNITLIST, UNITNBRS): #returns all units that neighbor a UNITLIST but are not in the UNITLIST \n",
    "    allNbrs = list()\n",
    "    for U in UNITLIST:\n",
    "        allNbrs = allNbrs + UNITNBRS[U]\n",
    "    adjoiners = list( set(allNbrs).difference(set(UNITLIST)) )\n",
    "    return adjoiners\n",
    "\n",
    "def get2nbrs(ULIST, UNITNBRS):\n",
    "    \"\"\"\n",
    "    Get the combined list of first- and second-level neighbors of a LIST, using neighborList connectivity.  Excludes the source list\n",
    "    \"\"\"\n",
    "    firstList =  getAdjoiners(ULIST, UNITNBRS)\n",
    "    secondList = getAdjoiners(firstList, UNITNBRS)\n",
    "    twoLevelList = list( set(firstList + secondList).difference(set(ULIST) ) )\n",
    "    return twoLevelList\n",
    "\n",
    "def getContigFromStarter(starter, VLIST, NEIGHBORLIST):  #all contiguous units in VLIST, starting from starter unit\n",
    "    foundList, newList, prevList = [ starter ], [ starter ], [ starter ]\n",
    "    while len(newList) > 0:\n",
    "        newList = list()\n",
    "        for V in prevList:\n",
    "            for VV in NEIGHBORLIST[V]:\n",
    "                if VV in VLIST and VV not in foundList:\n",
    "                    newList.append(VV)\n",
    "                    foundList.append(VV)\n",
    "        prevList = newList.copy()        \n",
    "    return foundList   \n",
    "\n",
    "def isContiguous(VLIST,NEIGHBORLIST,returnBiggestPiece=False):\n",
    "    \"\"\"\n",
    "    This method determines if all items in a list form a continuous chain of neighbors based on the passed neighborlist\n",
    "    Empty lists are considered contiguous.  If discontiguous, a less-than-majority piece list is returned,\n",
    "     unless giveBig=True, in which case we return the biggest piece\n",
    "    \"\"\"    \n",
    "    isUnbroken, newList, foundList = True, list(), list()\n",
    "    if len(VLIST) > 0:\n",
    "        foundList, newList, prevList = [ VLIST[0] ], [ VLIST[0] ], [ VLIST[0] ]\n",
    "    while len(newList) > 0:  #this round's list of neighbors\n",
    "        newList = list()\n",
    "        for V in prevList:\n",
    "            for VV in NEIGHBORLIST[V]:\n",
    "                if VV in VLIST and VV not in foundList:\n",
    "                    newList.append(VV)\n",
    "                    foundList.append(VV)\n",
    "        prevList = newList.copy()      \n",
    "    pickedPieceList = foundList.copy()  #default contiguous sublist to pass back to main\n",
    "    \n",
    "    if len(foundList) < len(VLIST):  #not contiguous\n",
    "        isUnbroken  = False\n",
    "        pieceLists, remainingList = [foundList], list( set(VLIST).difference(set(foundList) ) )\n",
    "        if returnBiggestPiece == True:  #we were asked for the biggest piece, not a random small one, so we must find them all\n",
    "            if len(foundList) < 0.5*len(VLIST):\n",
    "                while len(remainingList) > 0:\n",
    "                    newList = getContigFromStarter(remainingList[0], remainingList, NEIGHBORLIST)\n",
    "                    pieceLists.append(newList)\n",
    "                    remainingList = list(set(remainingList).difference(set(newList)))\n",
    "                pieceLengths = [len(pL) for pL in pieceLists]\n",
    "                pickedPieceList = pieceLists[ pieceLengths.index(np.max(pieceLengths)) ]\n",
    "            \n",
    "        else: #quickly return a contiguous sub-list that's at most half the total units in the list\n",
    "            if len(foundList) > 0.5*len(VLIST): #pick a different piece; this one is the majority\n",
    "                pickedPieceList = getContigFromStarter(remainingList[0], remainingList, NEIGHBORLIST)\n",
    "                \n",
    "    return isUnbroken, pickedPieceList\n",
    "\n",
    "def enclaveCheck(UNITLIST,UNITNBRS,maxLoops=4):\n",
    "    \"\"\"\n",
    "    This method determines if a list of units has an unbroken boundary AND whether its complement has an unbroken boundary\n",
    "    If the complement boundary is broken, there is an enclave or the district is so disconnected its adjoining units aren't contiguous\n",
    "    The method returns contiguity of boundary and of its adjoiners.  Also returns the lists of boundary and complement-boundary units\n",
    "      If either of these is broken, only a contiguous sublist is returned that is guaranteed to be smaller than half (for finding enclaves)\n",
    "      maxLoops is the number of loops for expanding neighbors-of-neighbors for contiguity of the units outside the passed unit-list\n",
    "    \"\"\"\n",
    "    UNITSET = set(UNITLIST)\n",
    "    ADJLIST =  get2nbrs(UNITLIST, UNITNBRS)  #in case direct adjoiners are only queen-adjacent\n",
    "    #adjoinersOfAdjoiners = getAdjoiners(ADJLIST,  UNITNBRS)\n",
    "    #BDRYLIST = list( set(UNITLIST).intersection(set(adjoinersOfAdjoiners)) )  #this might fail for queen-adjacent boundary units\n",
    "    BDRYLIST = list (set(get2nbrs(ADJLIST,UNITNBRS)).intersection(UNITSET) )  #in case inHD boundary is only queen-adjacent\n",
    "    noEnclave, enclaveList =   isContiguous(ADJLIST, UNITNBRS)  \n",
    "    unbroken, smallPieceList = isContiguous(BDRYLIST, UNITNBRS)\n",
    "    if not unbroken: #could be that district's boundary intersects the state boundary or there is a nonHD enclave inside the HD\n",
    "        unbroken, smallPieceList = isContiguous(UNITLIST, UNITNBRS)  #slower check for full district, not just its boundary \n",
    "    nLoops = 1 #could be that fragmented adjoining districts are underestimating true contiguity.  Widen the contig search\n",
    "    while nLoops <= maxLoops and not noEnclave:\n",
    "        nLoops +=1\n",
    "        newSet = set(ADJLIST)\n",
    "        for UU in ADJLIST:\n",
    "            newSet = newSet.union( set(UNITNBRS[UU]).difference(UNITSET) )\n",
    "        ADJLIST = list(newSet)\n",
    "        noEnclave, enclaveList =   isContiguous(ADJLIST, UNITNBRS)\n",
    "    #isJiggy = noEnclave and unbroken\n",
    "    return unbroken, noEnclave, smallPieceList, enclaveList\n",
    "\n",
    "def getBdryNonEdgers(UNITLIST, UNITNBRS): #all in-district boundary units that neighbor a non-district unit\n",
    "    ALLnonHDnbrs = set()\n",
    "    for UUU in UNITLIST:\n",
    "        ALLnonHDnbrs = ALLnonHDnbrs.union(set(UNITNBRS[UUU])).difference(set(UNITLIST))\n",
    "    BdryNonEdgerSet = set()\n",
    "    for UUU in UNITLIST:\n",
    "        if len(set(UNITNBRS[UUU]).intersection(ALLnonHDnbrs)) > 0:\n",
    "            BdryNonEdgerSet.add(UUU)\n",
    "    return list(BdryNonEdgerSet)\n",
    "\n",
    "def getEnclaveLists(UNITLIST, UNITNBRS):\n",
    "    \"\"\"\n",
    "    finds ALL units enclaved by a UNITLIST, parsed into lists of contiguous pieces\n",
    "    We assume the largest contiguous complement to the UNITLIST is not an enclave, but rather the majority of the HD complement\n",
    "    if the UNITLIST's complement (all couldBeEnclaved) is contiguous, the returned list will be blank\n",
    "    \"\"\"\n",
    "    eSets, nU = list(), len(UNITNBRS)\n",
    "    offmapList = list()\n",
    "    for i,L in enumerate(UNITNBRS):\n",
    "        if len(L) == 0:\n",
    "            offmapList.append(i)  #offmap list are units with no neighbors (were surrounded)\n",
    "    complementSet = set([i for i in range(nU)] ).difference( set(UNITLIST + offmapList) )    \n",
    "    remaining2nbrs = get2nbrs(UNITLIST, UNITNBRS)\n",
    "    \n",
    "    isContig, shortList = isContiguous(remaining2nbrs,UNITNBRS) #quicker than contig check on entire complement\n",
    "    while not isContig:  #this will kick out before writing the final sublist = map majority\n",
    "        starter = shortList[0]\n",
    "        newEnclaveList = getContigFromStarter(starter, list(complementSet), UNITNBRS)\n",
    "        eSets.append(set(newEnclaveList))\n",
    "        remaining2nbrs = list(set(remaining2nbrs).difference(set(shortList)) )\n",
    "        isContig, shortList = isContiguous(remaining2nbrs,UNITNBRS)\n",
    "        \n",
    "        # couldBeEnclaved = list( set(couldBeEnclaved).difference(set(newEnclaveList)) )  #revised 18-Feb-24 -- was slower\n",
    "    fused_eSets = set()\n",
    "    for i, eSet in enumerate(eSets):\n",
    "        fused_eSets = fused_eSets.union(eSet)\n",
    "        for j in range(i+1, len(eSets) ) :\n",
    "            eSets[j] = eSets[j].difference(eSet)  #in case contiguity occurs, but not in 2-neighbor list; avoid double-count\n",
    "    remnant_eSet = complementSet.difference(fused_eSets) \n",
    "    eLengths = [len(eSet) for eSet in eSets]\n",
    "    if len(eSets) > 0:\n",
    "        if len(remnant_eSet) < np.max(eLengths):  #exchange the small remnant for the biggest found \"enclave\" (usually the major complement) \n",
    "            eSets[eLengths.index(np.max(eLengths))] = remnant_eSet.copy()\n",
    "    eLists = [list(eSet) for eSet in eSets]\n",
    "    return eLists\n",
    "\n",
    "def wontEnclave(proposedU, dList, NBRLIST, mapBDRYLIST):\n",
    "    \"\"\"\n",
    "    This method checks if adding a proposedU to a dList (list of units in a district) will create an \"enclave\" of units in the dList's complement\n",
    "    via two problems:  A) the dList will now have a discontiguous set of units on the map boundary.  The full map boundary list is mapBDRYLIST\n",
    "      B) The non-dList neighbors of dList units aren't contiguous\n",
    "    The method doesn't require that the dList wontEnclave without the proposedU included; it just checks the proposedU + dList combination\n",
    "    It also doesn't check that the dList is itself contiguous with or without proposedU\n",
    "    In that sense, it is more limited than enclaveCheck\n",
    "    \"\"\"\n",
    "    wontEnclave = True\n",
    "    newList, newSet = dList + [proposedU], set(dList + [proposedU])\n",
    "    unitsOnBoundary = list( set(mapBDRYLIST).intersection(newSet) )\n",
    "    wontEnclave, __ = isContiguous(unitsOnBoundary,NBRLIST)  #first check - does district touch MAP boundary in multiple places? (quick FAIL)\n",
    "    if wontEnclave: #slower check below for internal enclaves\n",
    "        adjoiners = get2nbrs(newList, NBRLIST)  #2-level to protect for queen adjacency in boundary        \n",
    "        wontEnclave, __ = isContiguous(adjoiners,NBRLIST)\n",
    "        if not wontEnclave:\n",
    "            nLoops = 1 #could be that fragmented adjoining districts are underestimating true contiguity.  Widen the contig search\n",
    "            maxLoops, ADJLIST = 6, adjoiners #unlike enclaveCheck, here we just arbitrarily set a number of loops for search expansion\n",
    "            while nLoops <= maxLoops and not wontEnclave:\n",
    "                nLoops +=1\n",
    "                adjSet = set(ADJLIST)  #align nomenclature w enclaveCheck\n",
    "                for UU in ADJLIST:\n",
    "                    adjSet = adjSet.union( set(NBRLIST[UU]).difference(set(newList)) )\n",
    "                ADJLIST = list(adjSet)\n",
    "                wontEnclave, __ =   isContiguous(ADJLIST, NBRLIST)\n",
    "        \n",
    "    return wontEnclave"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "d041d328-83e0-45db-a869-e0956c23ee26",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "Enter the state postal code; e.g. OH  IN\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "OK, enter 1 below to use in_pl2020_vtd.dbf as this state's population data file\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "  1\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempting to read in state unit geometries.  Stand by ...\n",
      "I read in the Census popn data. IN has 6785528 peeps and is divided into 5159 shapes.\n"
     ]
    }
   ],
   "source": [
    "STATE = str(input(\"Enter the state postal code; e.g. OH \")).upper()\n",
    "popFilename = STATE.lower()+\"_pl2020_vtd.dbf\"\n",
    "print(\"OK, enter 1 below to use\",popFilename,\"as this state's population data file\")\n",
    "enter1 = input(\" \")\n",
    "if int(enter1) != 1:\n",
    "    popFilename = input(\"OK, then enter the pop data file.  Typically a xx_pl2020_vtd.dbf\")\n",
    "print(\"attempting to read in state unit geometries.  Stand by ...\")\n",
    "tractPopFile = gpd.read_file(\"state_map_files/\"+popFilename)\n",
    "trueTractGeom = tractPopFile['geometry']\n",
    "nTracts = len(trueTractGeom)\n",
    "tractPop = tractPopFile['P0010001']\n",
    "statePop = np.sum(tractPop)\n",
    "censusGEOID20 = tractPopFile['GEOID20']\n",
    "print(\"I read in the Census popn data.\",STATE,\"has\",statePop,\"peeps and is divided into\",nTracts,\"shapes.\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "3bfdea9d-b0ea-497a-a556-6b488a3e333e",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "Enter the number of districts in the state.  My guess is 9 9\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There appear to be 92 counties in IN .  I will assign them county Nos 0 - 91\n"
     ]
    }
   ],
   "source": [
    "tractGeom = trueTractGeom.copy()   #for some states, we will modify geom, so preserve original\n",
    "#tractNAME20 = tractPopFile['NAME20']\n",
    "tractPop = tractPopFile['P0010001']\n",
    "inputfileCountyNo = tractPopFile['COUNTYFP20']\n",
    "vtdGEOID20 =  tractPopFile['GEOID20'] \n",
    "nDistricts = int(round(statePop/760000,0))\n",
    "nCutDistricts = 0\n",
    "nDistricts = int(input(\"Enter the number of districts in the state.  My guess is \"+str(nDistricts)))\n",
    "tractArea = [tractGeom[t].area for t in range(nTracts)]\n",
    "trueTractCP =   [tractGeom[t].centroid for t in range(nTracts)]\n",
    "tractCP = trueTractCP.copy()  #for some states, we move secluded corners into the map, so save the true data\n",
    "tractCPx =  [tractCP[t].x for t in range(nTracts)]\n",
    "tractCPy =  [tractCP[t].y for t in range(nTracts)]\n",
    "inputCountyNumbers = list()\n",
    "for t in range(nTracts):\n",
    "    if inputfileCountyNo[t] not in inputCountyNumbers:\n",
    "        inputCountyNumbers.append(inputfileCountyNo[t])\n",
    "nCounties = len(inputCountyNumbers)\n",
    "print(\"There appear to be\",nCounties,\"counties in\",STATE,\".  I will assign them county Nos 0 -\",int(nCounties-1))\n",
    "sortedICNs = list(np.sort(inputCountyNumbers))\n",
    "countyNo = [sortedICNs.index(inputfileCountyNo[t]) for t in range(nTracts) ]\n",
    "\n",
    "isSkippedTract = [0] *nTracts  #this will house a temporary list of tracts for manipulation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "adffc7a4-a78c-477f-8ea4-7f8e5109fa2a",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "We will now build the county-by-county geometries, hoping there are no islands\n",
      "Building county geom for county 0\n",
      "Building county geom for county 20\n",
      "Building county geom for county 40\n",
      "Building county geom for county 60\n",
      "Building county geom for county 80\n",
      "Here is your original county-base map before any triage; e.g eliminating coastal unpopulated tracts w pop < 4.5\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There appear to be 5 unpopulated coastal tracts.  Lets plot them and their parent counties\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"We will now build the county-by-county geometries, hoping there are no islands\")\n",
    "skipList = list()  #a list of units we previously know to skip in the map\n",
    "isAlteredCounty = [False for c in range(nCounties)]\n",
    "countyTractList = [list() for c in range(nCounties)]\n",
    "countyPop =       [0. for c in range(nCounties)]\n",
    "countyGeom =      [dummyPoly for c in range(nCounties)]\n",
    "for t in range(nTracts):\n",
    "    if t not in skipList:\n",
    "        c = countyNo[t]\n",
    "        countyTractList[c].append(t)\n",
    "        countyPop[c] += tractPop[t]\n",
    "for c in range(nCounties):\n",
    "    if c%20 == 0:\n",
    "        print(\"Building county geom for county\",c)\n",
    "    for t in countyTractList[c]:\n",
    "        if countyGeom[c] == dummyPoly:\n",
    "            countyGeom[c] = tractGeom[t]\n",
    "        else:\n",
    "            countyGeom[c] = countyGeom[c].union(tractGeom[t])\n",
    "origMAP = countyGeom[0]\n",
    "for c in range(nCounties):\n",
    "    origMAP = origMAP.union(countyGeom[c])\n",
    "    if countyGeom[c] == dummyPoly:\n",
    "        print(\"WARNING! county\",c,\"is empty!\")\n",
    "    else:\n",
    "        plotPoly(countyGeom[c])\n",
    "        plotCenter(c,countyGeom[c])\n",
    "minTractPop = 4.5\n",
    "print(\"Here is your original county-base map before any triage; e.g eliminating coastal unpopulated tracts w pop <\",minTractPop)\n",
    "plt.show()\n",
    "if origMAP.geom_type == dummyPoly.geom_type:\n",
    "    mapExterior = origMAP.exterior\n",
    "else:\n",
    "    for i,geo in enumerate(origMAP.geoms):\n",
    "        if i == 0:\n",
    "            mapExterior = geo.exterior\n",
    "        else:\n",
    "            mapExterior = mapExterior.union(geo.exterior)\n",
    "\n",
    "for c in range(nCounties):\n",
    "    for t in countyTractList[c]:\n",
    "        if tractPop[t] < minTractPop:\n",
    "            if tractGeom[t].intersects(mapExterior):\n",
    "                isAlteredCounty[c] = True\n",
    "                skipList.append(t)\n",
    "print(\"There appear to be\",len(skipList),\"unpopulated coastal tracts.  Lets plot them and their parent counties\")\n",
    "for t in skipList:\n",
    "    plotPoly(tractGeom[t])\n",
    "    plotCenter(t,tractGeom[t],6)\n",
    "plotPoly(origMAP,0.2)\n",
    "for c in range(nCounties):\n",
    "    if isAlteredCounty[c]:\n",
    "        plotPoly(countyGeom[c])\n",
    "plt.show()\n",
    "trueMAP = origMAP  #use these terms interchangeably"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "7a6c93c4-af08-47d5-90f7-dc0b4513aad5",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Last chance to alter the skipList, otherwise the above 5 units will be axed\n",
      "here is the proposed skipList [2511, 2279, 1071, 1439, 1484]\n",
      "here is the final skipList [2511, 2279, 1071, 1439, 1484]\n"
     ]
    }
   ],
   "source": [
    "print(\"Last chance to alter the skipList, otherwise the above\",len(skipList),\"units will be axed\")\n",
    "print(\"here is the proposed skipList\", skipList)\n",
    "#skipList = [] #...  #alter here if needed\n",
    "print(\"here is the final skipList\", skipList)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "2989f381-466b-4882-bf1d-cfa37a7ba8ef",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "I will now preserve the original county unit lists and geoms, then rebuild as needed\n",
      "removing coastal units from countyNo 44\n",
      "removing coastal units from countyNo 45\n",
      "removing coastal units from countyNo 63\n",
      "removing coastal units from countyNo 81\n",
      "Here is the revised state county map after eliminating coastal tracts\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Excellent!  We have no populated islands.  SKIP the below code block.\n",
      "we will scale longitudinal distance by 0.76773\n"
     ]
    }
   ],
   "source": [
    "print(\"I will now preserve the original county unit lists and geoms, then rebuild as needed\")\n",
    "trueCountyTractList = [list() for c in range(nCounties)]\n",
    "trueCountyGeom = [countyGeom[c] for c in range(nCounties)]\n",
    "for c in range(nCounties):\n",
    "    trueCountyTractList[c] = countyTractList[c].copy()\n",
    "    if isAlteredCounty[c]:\n",
    "        print(\"removing coastal units from countyNo\",c)\n",
    "        countyTractList[c] = list()\n",
    "        countyGeom[c] = dummyPoly\n",
    "        for t in trueCountyTractList[c]:\n",
    "            if t not in skipList:\n",
    "                countyTractList[c].append(t)\n",
    "                if countyGeom[c] == dummyPoly:\n",
    "                    countyGeom[c] = tractGeom[t]\n",
    "                else:\n",
    "                    countyGeom[c] = countyGeom[c].union(tractGeom[t])\n",
    "        if countyGeom[c] == dummyPoly:\n",
    "            print(\"Uh oh! county\",c,\"didn't have any usable tracts\")\n",
    "MAP = countyGeom[0]\n",
    "for c in range(nCounties):\n",
    "    plotPoly(countyGeom[c])\n",
    "    plotCenter(c,countyGeom[c])\n",
    "    MAP = MAP.union(countyGeom[c])\n",
    "origPopMAP = MAP   #origPopMAP is the map after eliminating coastal unpopulated tracts, with original islands\n",
    "print(\"Here is the revised state county map after eliminating coastal tracts\")\n",
    "plt.show()\n",
    "if MAP.geom_type == dummyPoly.geom_type:\n",
    "    print(\"Excellent!  We have no populated islands.  SKIP the below code block.\")\n",
    "else:\n",
    "    print(\"We appear to have some populated islands.  Separate out the main state geom in next block.\")\n",
    "LAT = MAP.centroid.y\n",
    "xScale = (1. - 1.089* abs(LAT/90)**1.9)\n",
    "print(\"we will scale longitudinal distance by\",r5(xScale))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "8a562a21-4107-4a3c-a320-90442a473387",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Lets first identify which county each island belongs to.  Then we'll move the island to the closest county mainland\n",
      "unit 1004 is a true island.  We will move it to adjoin the mainland in same county.\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "unit 1641 has island pieces.  We will reduce the tract to its main state component\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#RUN THIS ONLY IF WE FOUND POPULATED ISLANDS\n",
    "nSubGeoms = len(MAP.geoms)\n",
    "subGeoms = [MAP.geoms[n] for n in range(nSubGeoms)]\n",
    "subAreas = [subGeoms[n].area for n in range(nSubGeoms)]\n",
    "mainSubGeomNo = subAreas.index(np.max(subAreas))\n",
    "mainGeom = subGeoms[mainSubGeomNo]\n",
    "nonMainGeom = dummyPoly\n",
    "for geo in subGeoms:\n",
    "    if geo != mainGeom:\n",
    "        if nonMainGeom == dummyPoly:\n",
    "            nonMainGeom = geo\n",
    "        else:\n",
    "            nonMainGeom = nonMainGeom.union(geo)\n",
    "        \n",
    "print(\"Lets first identify which county each island belongs to.  Then we'll move the island to the closest county mainland\")\n",
    "hasIsland = [False for c in range(nCounties)]\n",
    "isIsland =  [False for t in range(nTracts)]\n",
    "islandXshift, islandYshift = [0. for t in range(nTracts)], [0. for t in range(nTracts)]\n",
    "islandList = list()\n",
    "for c in range(nCounties):\n",
    "    if countyGeom[c].intersects(nonMainGeom):  #this county contains an island.  Find all its island tracts\n",
    "        hasIsland[c] = True\n",
    "        mainCountyGeom = countyGeom[c].intersection(mainGeom)\n",
    "        plotPoly(mainCountyGeom)\n",
    "        plotCenter(c,mainCountyGeom)\n",
    "        for t in countyTractList[c]:\n",
    "            if tractGeom[t].intersects(nonMainGeom) and t not in skipList:\n",
    "                if tractGeom[t].intersects(mainCountyGeom):\n",
    "                    print(\"unit\",t,\"has island pieces.  We will reduce the tract to its main state component\")\n",
    "                    plotPoly(tractGeom[t],0.2)\n",
    "                    tractGeom[t] = tractGeom[t].intersection(mainCountyGeom)\n",
    "                    tractCP[t] = tractGeom[t].centroid\n",
    "                    tractCPx[t], tractCPy[t] = tractCP[t].x, tractCP[t].y\n",
    "                    plotPoly(tractGeom[t])\n",
    "                    plotCenter(t,tractGeom[t])\n",
    "                else:    \n",
    "                    isIsland[t] = True\n",
    "                    print(\"unit\",t,\"is a true island.  We will move it to adjoin the mainland in same county.\")\n",
    "                    islandList.append(t)\n",
    "                    if tractGeom[t].geom_type != dummyPoly.geom_type :  #island tract is multiple geoms.  collapse to its largest isle\n",
    "                        isleGeos = [geo for geo in tractGeom[t].geoms]\n",
    "                        isleAreas = [geo.area for geo in isleGeos]\n",
    "                        biggestIsleNo = isleAreas.index(np.max(isleAreas))\n",
    "                        tractGeom[t] = isleGeos[biggestIsleNo]\n",
    "                        tractCP[t] = tractGeom[t].centroid\n",
    "                    p1, p2 = nearest_points(mainCountyGeom, tractGeom[t])\n",
    "                    islandXshift[t], islandYshift[t]  = p1.x - p2.x , p1.y - p2.y\n",
    "                    plotPoly(tractGeom[t])\n",
    "                    plotCenter(t,tractGeom[t])\n",
    "                    plt.arrow(tractCP[t].x, tractCP[t].y,islandXshift[t], islandYshift[t])\n",
    "                    tractGeom[t] = translate(tractGeom[t], xoff=islandXshift[t], yoff=islandYshift[t])                   \n",
    "                    tractCP[t] = tractGeom[t].centroid\n",
    "                    tractCPx[t], tractCPy[t] = tractCP[t].x, tractCP[t].y\n",
    "                    plotPoly(tractGeom[t],0.2)\n",
    "        plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "9a94118d-5863-4458-b77a-67d18cf01c2c",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "If you like my proposed translations, let's rebuild the MAP with the adjusted county geoms\n",
      "This is not appropriate for large islands like Michigan UP\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#continuing with island triage - RUN ONLY WITH ISLANDS\n",
    "print(\"If you like my proposed translations, let's rebuild the MAP with the adjusted county geoms\")\n",
    "print(\"This is not appropriate for large islands like Michigan UP\")\n",
    "for c in range(nCounties) :\n",
    "    if hasIsland[c] :  #rebuild the county geom with the translated islands\n",
    "        countyGeom[c] = dummyPoly\n",
    "        for t in countyTractList[c]:\n",
    "            if t not in skipList:\n",
    "                if countyGeom[c] == dummyPoly:\n",
    "                    countyGeom[c] = tractGeom[t]\n",
    "                else:\n",
    "                    countyGeom[c] = countyGeom[c].union(tractGeom[t])\n",
    "MAP = countyGeom[0]\n",
    "plotPoly(countyGeom[0])\n",
    "for c in range(1,nCounties):\n",
    "    MAP = MAP.union(countyGeom[c])\n",
    "    plotPoly(countyGeom[c])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "4aebe4ee-ee7b-4bf3-8413-f315556d453e",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "computing all county centerpoints, then plot them\n"
     ]
    },
    {
     "data": {
      "image/png": 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6Nc5Xe4TFJjn04/zu6NhJe/tmdCOA21VCRsZUVIvlnRkInJ40QrV7Ui3GwPDqd2HvGrhpbaolsUkAVjHStOkfimr+hoZujVQS/RphWbx4MUIIbrrppmjZP//5T04//XTy882og59++ukR23nssccQQhz05/f7+yOeTQox4jDSamlZw/LlF7Lsw5NZs/brrF9/EytWXsp7789l587fJdxlEMDR1tLnY8INfppe3s6+B1axd/HH1PzqE/Y/tRH/1saEyqZ5MgkF+jclNGhor4dJ54E7M9WSDAxD+GEuFQW9H7ZXNtahS2EZ5CMsy5cv5+GHH2batO6RH9vb21m4cCGXXHIJX/nKV3rdXmZmJps2bepW5nYPDQv3o5G+2rB0dOxg5aor8XpHMm3q78nMmoWquPH5Ktlb8y+2bb+PsN7OmNHfSaiczj4qLL7P9rP/rxtRXAru8bmo41xIv45/WxP1f1xH2vwSss8bnZC3S3daBr7gUTIl5GsELfGhxS3LUJ4S0jRCoRCaduTHi5RmCILY7UMtpWGAYZhLKc2IupGoulLXIdJWZz0OaPvAbRkTkTdaLkFymDoHyHXgugh0EFzzjllPEqlvgDQib3EyIocR2R/ZF5EPaXT1YxiAYSbKlDoYBsG9e3AUFna1a+iRNmRkqcesGwfsO2CbmDIjZh+dMkvCjfnAgsGtsLS1tXHllVfyyCOPcNddd3Xbd/XVVwOwc+fOPrUphKC4eHC7odp00df78d6af6EobmbPeqqbl0NGxmQyMiZTX/9fKisfYvSomxEiceZf7SXlGFKi9ELBkGGDxmc34x6bTe7lE1Cc3aNOtn+4l6YXtuEo9JI+v/8xThTNEb0hDzn0MDx6CoR85k23qRK+8JdUS2WTAKauXs3qfzwN6hGuU3HQSteunvYJEf2TAhCKuVsIs54SWR5YJ7YlEdOm6N5+t5eMA/ZFE7lGNqUQMeJ31StvayIk74opFwf0GSnrlLOz1dj16GdQAIGMLIUQBDdtQUyYEN0Xrde5Tee2iKkT2UaJfC9d+0XkWIkW3d9ZXwgFKbIA60wJxaWw3HDDDZx99tmccsopByks8dLW1sbw4cPRdZ0ZM2Zw5513MnPmzEPWDwQCBAJdmTFbWvo+tG+TPGQfjW41LRNdb8fv30ta2ugD2tIx9ORMDypCEDQM3Ee6uQKGL4zREcY7o7CbsgLmzc47u4imF7bR+t7uhCgsquZEH7IKSxCadsEVz4LqhLQCSEtOxllLMoSnhBxuD2Puv5/8cWNTLcqAs3nhcZQ+/UbS2h/ozF9pWxphw6rBO8Ly1FNPsXLlSpYvX54wISZMmMBjjz3G1KlTaWlp4de//jULFy5k9erVjB3b80m/ePFi7rjjjoTJYJNYDIM+TQmVlV7K3r3/YPknF1BcfBHZWbNQFDc+305q9r1IIFjHlCm/TejoCpiBkXzBEG7PkdtV0h04h2XQ/PJ2hMOcEhKROd7QvnaaXtoOQMH/JCYgm6mwWONGkXCEANUB5bNTLUlKMGcDDIQyBB01PR4C7R2plsImEUQUa6vMYPZJYamqquLGG29kyZIlCbUvmTdvHvPmdeUVWbhwIbNmzeK3v/0tv/nNb3o85tZbb+Xmm2+Obre0tFBRUZEwmWz6h6RvNiyalsExs5+lsvIP1Oz7N7t3PwmAorjJzV3IhPF3kZV16BG3eBGqhj8UAs+Rz2chBHlXTaLhqY3sf2IDwqmgZrow/GGMthBKppP8/5mClpuYa0N1uoauwoJIVlDQ7kTsBaSUSKSZtoFIWbdticS0MzC3iew3oHN/ZzuRuiJ6PD0c39VPp12AaZpg2ic4wn4MqaMOwcgSiqoS0I8S26shjqJ0KizWuA/1SWFZsWIFtbW1zJ7d9Vak6zpLly7lgQceIBAIoPZiaP1IKIrCnDlz2LJlyyHruFwuXK6jz9V1sCCNvsdh0bQMRo/+P0aP/j/C4XakDKJpWQcldksk2/0h9geClPSyvprpJP8rUwntbiOwvRm9LYjiVHGUpuMel4PQEiiroibFM8oSHCGM+b66nbQ98Xma07pPrR3ujDpka0Igo3YCseumLUKnLYCM2ADI6Pw/XduHOJ4Djz+w7gHbnctVaRMYaUgyrBCNK8GoikooPETP26ONqNFOSqWI0ieF5eSTT2bt2u5xEq677jomTJjALbfckhBlBUxt7tNPP2XqVCvmOrHpDYbRv2l6TUtjIGZsR3tdpKt9UzKEEDjLM3CWJze8fTjgR+ujbIOHw58cQg+yp2Qex1/x4ADJM7B864P1XGYIhmKCBFVVCB4tAQ+HOJ2GyIZFRnr7pLBkZGQwZUr3dOVpaWnk5eVFyxsaGti1axd79pgBrzpdlYuLi6NeQNdccw1lZWUsXrwYgDvuuIN58+YxduxYWlpa+M1vfsOnn37Kgw8OzZvV0UA8IywpIYkJy/qL3lCJ2rA11WIkhyOcG4rqRDGG7kNPERC0yDB7otFUlVCKvUqklHxU8xHvVL1DdVs1CgojskZwyrBTmFpgvwj3ls4pIavcIhMe6fbFF1/kuuuui25fdtllAPz4xz/m9ttvB2DXrl3RpEoATU1NfPWrX6WmpoasrCxmzpzJ0qVLOfbYYxMtns0AIaUcFIkfhBCWeXs4kLAjHa14UqrF6JFQ0M+nO9dEkzPKA+5oXc/iblEtui3wjkOuf4+earZ1NBMSQzOJH4CzpYnfPf5nMpEIAUpkxOnAM1F2Pi9id8QoewfV76p0hP10mRHFFkZsdIQ0cHz6EcFpx3TFE4n8SSSiM6ZJ7F8kxkj5p2vIHTOqF99CcmgLtnHz2zezbO8yStNKGZ09mpAM8eK2F/nTuj9x7qhzuWPhHTgUR8pkHDREzz9r3CP7rbC8/fbb3bavvfZarr322j4dc99993Hffff1VxQbC2F6CVl/hEUOlPFnHBh6uJtibwWqdq3mL5vW8WnYw1yPxBOTwbX7ry0QnV9sbMyK2LpjLoTGum77Omvu1RXeLruY8xP+CaxBaWsDs6ZMoSQ7BwOJHg0yFmMe0/n1dTuyK+R9tDw2cJno3O5eR8jujXVF/YitJxGKEok0rtAxZTJphUUokXgnimJO+Xeekz1FJxeKoLZqMQW+1IWZuH/l/aytX8uDJz/I8WXHR78v3dB5aftL3Pb+baQ50vjBvB+kTMbBwqCeErKx6S2DZ4QlkqjRoogUa1Mt7c28tXkFnzY1scUXJtvp5OrR07h15JSk5orZ0ObjtXU7k9Z+qvE6HIwbNpwpFeWpFuUwTIzrqHaPB5HC+EEra1dy+ojTWVS+qFu5qqicP+Z8bnv/Np7a9NSgUFj2tu1lY8NG/LqffE8+U/Kn4BnAiNDRS9wit0hbYbFJGtYfX8Hio0Cpk63d18b/vbuEUDjA57LcXDZ8OCPLp+B0DoxnnpV/lUTgUBQCoSFqo6MoKY3QPKNgBq/tfI3TR5zOvJJ5UcVaSsmrO14F4PNjP58y+XrD9qbt3PnhnXyy75Nu5R7Nw1UTr+LrM75+VE5p2QqLTVKwiELeKyw7wpJCg+BfffAKlxblceL0k1PS/4E2MUMNTRH4Q8FUi5EcFCWlNg/fnv1tdrbs5KtvfJXhmcMZnTUaQxpsbNxITXsNZ4w4gx/Mte7oSl1HHde8dg157jx+vujnzC6aTZojjd1tu3l1x6v8ef2faQw08uP5P06+MD3ZUKUQW2GxSQoWOb8HOakZZ1i26WO2BBV+OO1zKekfkv/Jg8H9VFU/wf797+D370YIlTTvaAqLzqa05GIUxZnU/p2KQjAUSmofKUOkdoQlw5nBH0/7Ix/s+YC3q96muq0aVaicOvxUThl2CrOKZqVMtt7w2s7X8If9PHHmE2S5sqLl43LGMS5nHJ81fMY/Nv+Db0z/BgXegqTKIiymsdgKi01ykDEnu5UxDJQhG+uk7zyw9J9sbg/wu+PPTKqNyhGRyeu7rW0TK1ddjWEEKMg/hYKCU5FGmJbWNWza9GP27v0HM2c8gaalJ02GoTwlpPj9GK2tqZVBKBxXdhzHlR2XUjniId2RTsgIUd1W3U1hAXNaqyVgGjQ71eQq1UDXCEvye+oVtsJikxSscoIfCWEYlvPE6cYAvtls3rmaz3w6D5x+6dDMcRNh85Y7cTpzmTXzSZzO/G77WlrWsPyTC1m95ivMnvX3pMngUBQC4aE5wqK0tmDU1qVajEHLWaPO4tnNz3LNK9dw7uhzmV00G6/Dy562Pby24zXW1q/lR/N/dJAykwxso1ubo4LBYoMQ1nWcqlUvg4Eb4Vi1cy13fbaNe2fOtoayksSP7vNVk59/0kHKCkBGhhlUrKnp4+QJADg1hcAQjQarjBuPYeipFmPQ4lJdPHr6ozy+/nH+ve3fPLflOQCcipPZRbN55LRHmFcy7witJAZhMY3FqndqmyHAIJgQMj2vrSroAE7J/GzDRv688EQys5I7J95bknl7LCo8k11Vf8btKqG09As4HNkA+Hy72LHzdwBMn/bHJEoATkUlGB6aD3XV6yFUb4+w9AeP5uH66ddz/fTr6Qh14Nf9ZDmzUJXUJJ+ySkozW2GxSQrW0MePjKJpdASH5tD8kTB0naWfvc9fqmo4McPZJ2UlHG6lrW0TYb0NpzOf9LTxKAl0s0ymqjZq1M3oRoBt23/J1m0/x+nMxzBChMNNaFoGEycsJj//pCRKAE5VIxDyJbWPVKG43Uh/INViDBm8Di9eR4qiPts2LDZHA1Y5wY+E6nDgC1rZvTQJ36Rh8OGql7l/X4BjvXDP3OMoyC098nFAIFDHlq0/pbb2VaTsmtLQtEwqyr/IiBHfSIiHTTJf6BTFwfhxP2LE8K/R0PAePv9uFKHhTRtNbs5xkcSbyaVeUfGlYIDF3x6idb8fRRVkFnhwOBP/xq54PBgBW2EZCnTNCFnjjm4rLDZJw6ozLbFomkZHwKIKi0h82oCdlZ9yz7p1FGTk8PuTziLH0/s3t3C4nRUrL0XX2xkz5nvk5ixA0zIJBPZSW/saOysfwuerYvLkX/VbTkNKlCSfQC5XESUlqQkglq6p+AcwQWDVhgY++vd29u3oCpmvqIIRU/OZf+FososS9wav6AaON99i6ymnRkpk57/uD77oenSn+S8QoPwPD+GdPj1hMtnES885qVKFrbDYJIeudCaWRigKocMYCIYDAapXrqRyzRqq9+zFH/BjfjCJpijkZWVTNKyCksmTKZo4EYcjkdEn+/8F+lvrWb5zHe/UN7A+AAUixHeOPZHRBX0PCV9f/x98vkrmz3sTr3dktNztLiEraxa6EWD37icpr7iGrMz+PWwsG8wvQYx2auwMD4yivHVFLa8/so7Ssdmccu1EsovTMHRJ7c4W1rxVxbP3fMIl3zsmYUqLVpBPcNokxt612Ix6C+Yykm8IzJxDCNH1Cq8o0TpV132JcE0NDEaFRQikriPU1NiaJBqL2dzaCotNchgsXkIHZmtu3LmTLe8spXpXJQ3t7SgICjLSqRg1muknn0zW6NFRy3l/UxN7V69m76ZNrPjnv2jw/w0DcLjdFBUUMHXePEpnz45bNkURh31wSylpaG9hT8Meajva2ddSx/r9tVThjb7NqqrGMWka51cM4/vDp6A43PHLo5ph+UOhRmDkQft1vR0AVel/rhNDDgp9N27SHBq+AQqu9skrOxkxLZ+zrp9qKgoRSkZnMXFBCY98eyl//fGH3PBQYgIFqkJBd7txVlTEdbwMh/GtXoPR1gaqCoqCUFRQhKkIKAooKiK6rZr1BAhVNa9PVQWhmJ83qgwpCDWiOHW2gzBPtIjyJBDIqGIlDzZ8lzFl0SSTslsiyrb33zfteHQdGQ6DboAejm6bZToyrINhIPWwuR6pg26WmUvdrGvo5rphROugH1Amu/ZJQzcvIkNH6kZkn2FuGwYYMrI0/2LXkV37OpR0KP+arbDYDG0scn4fEUWYSkHt9u288eSTGD4fo8eNY94551A8bRrKYd6U3NnZjDzhBEaecEK0TEpJR+Uudq1cwXsvv0zzM88wsqiY2eeeQ87YsX2STVNVwkbMDdMwqNyzkff37GJ1SxvbQwrF+Cl3QJEmKEjL5EvHnsGo3MKkBH3Lz/scWZkzWbnqKkpLv0BOznwcWhZ+/17q6l6nrv4Nhg+/nvT0cf3ua5AM0MWN1+HAN0AZcKWUKIro+QtNwpfc35nMrAsvpG3pUvwbNpgPT2k+YJHSfPBKGXkYG4BEdu6LPGyjU0uy85juf5LI8Z10vhRISXj/foTTiZqREd8HNwxqf/FLMzSAIkxFS3QpTaJzqZpKV7ROTNlB+1QFoWrd6zg0hNsFqhqzL6K4qea60LSoQic0FVQNoSoITTOP07ToPqFqZp3IMUJzgKrS1gE8WmOZF1BbYbFJGoPigRMIsPLZp6lqaeFzZ59FxaJFRz7mMAghSBsxnIkjhjPxoosIBwKse+UVXn7iLwRDQcYMH870884jq6zsiG2piqDDgL99/BofNrZQZyhUOAQLszzcMGESFcVjzRvLAKEoDmbO/As7Kx9i755nqa7+S3RfevpEJk38JcXFFySkLwOZ2ki7SSbd6cA3QNNes88Yzht/2sCLv/6USceVkluShh42qK1sZfV/qnC4VC7+3jEJ60/QP6PpvGu/SN61X0yUOH1i+/kXUPT975M299iU9G81wg1+oMYyb6C2wmKTFKxqgmAEg2zfsJGPtuxgWZufJl3nmzNmMPfss5LSn+ZyMePCC5lx4YX4W1pY++9/8+KDDxIERg8fzvRzziGnB+Wltbqapc/+m/vHHss3ZZgfzp5PQX58Q+yJRFU9jB71bUaNvIlgsB494tasaXG8kR6GIT8l5HTgH6BrZNyxxTjdGh/9eztL/rg+Wi4EVEzK44yvTSG3JHGeUUYwZL69D0IMXweOkpJUi2E5rHI7H5xnlY3lscqQvr+tgU8+XsWyPY2s1sGnOSl1acwpLORbi8YyrujgaKfJwp2ZyZwrr2QO4G9sYsNLL/HSAw+AqlJRUUGrz0d9bS26YeByOBhZVMwIn8IX5p4zYDL2FiEELlcBkJxAc1Y5f5JFusuFfwCDcY2Yls+Iafm0Nweibs1ZhV5cnsQ/AvRgAGUAR/4SidHaZk6N2AADGruyV9gKi82QwxfWWbby32R8+jjpwRYCLVnMOutOrp8whgy3K9XiAeDOyWbW1VcxC2jcupXKFSsYVl5O2bXX4srOBqCuejeu91akVM5UYZHAmkkjw+nCn4J+07JcpGUl9xoI+/0ozsGpsOjNzdYdHk4lFvlKbIXFJimk4vze29bEqvcep2LbSxQMX8i4yx9C3b2Rsr/eReaMySmQqHfkjBlDzpgxB5UHwgbOo/TmKaVEsdrrXQJJczkJDNExJD0YQk2oe7/Jft9+1u9fT3OgmWxXNlPyp5DjzkloH1pREcJljZcaaxCJw2KR+5CtsNgkhYE4vQNBH41126mv20Hthtcoat7G2BmXMuar/0ZE3HdD4fXdXDkHEwE9jMsiN4qBRh/iH9vr0AhZIclkEghv34ZavSdh7e337efuj+7mjco3unmrqELljJFncOuxtw5I5uKjEau9M9gKi03SEDFvkFJKArpOMOQjGGgnFOggFGyjpWkfjbWbSVdVCkcvpLRsco/Zgvfv2UDthldpr92C0rLbbFN10J5RjsyqYOL8L1Iycs7BQhgGQgzOB0Mg6Ger18Frn/4X6Lp5iNj/DyiLLoUZGyISpiu63i4FTVJQoR5m0iXmLhXb1wGFPdc46A538B1P9HD8gdsbfTo+n5NHq+tMb9SYB5U8YBkNlBop66wrOXh0X9Jdme6qEzkmslNTRJe3a9feiCxmH/KgNrqXd7bXebzUdcTunbiFQEpJi9r/FAZW4ONTT+m2rXZ0kHH55QlpO2SE+MobX2G/bz+3zbuN48qOI9edS72vnqXVS/n96t9z/RvX8+RZT8aVGLDyuuvwr1mLcLvNoG+BAIo3RXl7bI6IrbDYJAVvoAnZUMnKh34aLRNCwdDc6JE/Q/NAWgGZBaNpDYfY8d7D1DVtJeRIx5c/EU1ICIdw1G8k5Mmhffx5DJ94LqOKR6P1NpKkYXRF2xxklLdX8YV9L9NQdGaPD+HuD+6DH6CyWx2BBPZJB1WGi1lqW1dHB41mHPiUl7GhsXo6oAcOUDCO1McBdLQ1cG79Vt7K/mq0LFaCHtdFrMp25Lqx211LgUSix3gpiYPqdvUhov323J6pPJprvpZmWPExc+cvQEHhrtEDZ/CdVAQcu+TNpDT9ae2nbGncwpNnPcn0gq7It+UZ5Vwx8QoyXZnc+u6tPLXpKa6ceGWf2zc6Oij92c/IOOXkRIo9dLAj3docDeSLMKTnMev6f/f+oIVXA9DW1kjtnnUEpIKqORlWNAp3el58gui69cY1e4nbCHPR/krS5p+balEGnF1Va9m1bD3fmzYq1aIkjMp9tTyxNMRXF85PtSiDhkxnJgDbmrZ1U1g6qW6tBqAiIz6Xf+Fwovs64hfQZkCxFRabJGEQr2NqenoO6eOOT4gUUg+DOjhHWKShwyCdzuovUhpD7rN7XE70kEUTbVqU8bnjuWDMBfz4gx/zVtVbHF92PLnuXPb79vN29du8t/s9Lp9wOYvK4wv4KJwOpH/g/LV8YR/72vfhUB0Ue4vjmsZKBRYZYLEVFpskIa0R+UuGwyAGx03hQMI1ewnuqCRxIb0GEYYBDC2FxetymeejTZ+4Y8EdzCqcxTObnuGnH/0UQxqoQmVy/mQWH7+Ys0eeHXfbisOJ4fMlUNqe+Xjvx/x+9e9ZWbsSQ5r2Y2mONE4dfir/O+N/KUorSroM8WC1aNO2wmKTHGT8IywJFUMP92jE2xvW1q3l2c3PsqZuDS3BFrJcWUwvmM6l4y9lYt7EBEt6MGp2No4RI5LejxWpDQRY3x7guFQLkkA8TicyHEq1GIknya/filC4cOyFXDj2QkJ6iPZQO2nONBxK/12nhcuF9CV3hOW1na/x3Xe+y9SCqdw27zZGZI4gqAdZW7+Wpzc9zXu73+Ops5+yrNICWCY2ja2w2CSHaCbTFGPoZiKxPvLndX/m3hX3MixjGPNL55PnzqPeV8/7e97nn1v+ya1zb+XyCYnxhDgkAkQS4lkMBvI0hUmZQ2tsSVVVy9z4BysO1UG2mp2w9oTTieFP7gjLg6se5KSKk7jvpPtQYqY5F5Yt5OJxF3PSMydxyb8vYellS5Mqx1DAVlhskoMeAmmBqRjD6LPRbVVLFfetuI/rplzHjTNv7DbPHDbC3LHsDu7+6G6mFUxjcl4SA9IZOpZQ+lJBCm1YpJS0tq6lsfFDgsF6VNVLRsYkcnMXoaruhPUhpYGhG4QNSdjQCRsGHqcLl8O+LQ8Uwu1G+gNJ7SOoB8l0ZXZTVjrxaqYLdWOgMaky9Ber6Nn2lWGTHELtEE59nAlh9H1qqqq1ConkgtEXHGQUpykai8oX8fzW51latTS5Couup9T+ZntdG6urm2juCJGT5mT28BzKcwYmRoWRIoPjQKCWdetvoqnpI1Q1DZeriHC4jWCwFqczn4kTf0Z+3olxty/SMvjRbd8zY34IAUKYcYKEQAn40TKzuO17P0jcBxoIhGkrNhgTHgqXCyOQXIXl2inXcvdHd9MR6uCisRcxImsEAT3A2rq1PLb+Mbyal6fOeSqpMsSLxUxYbIXFJkl4csBhBbW871NT0wunk+fO45Z3b+H7c7/PjIIZCCEwpMGKfSt4YNUD5Hvy+dLULyVH5E6knpIYMrv2d/Dd51bz4fYGAJyaQjBsGgqeMrGIxRdNpSAjueHLTS+hgVXWpJSsXfe/+H3VTJv2MPl5JyIiMnR07GDzlp+yevX/MH/em3i9I+Pq445bD62MbK/Zx1//8ue42k0lUlUxAgHUQaiwKG4XelNzUvu4fMLlpDvSefDTB1lSuaTbvrnFc7nn+HsYmRXf+XS0MfjOMBubPmA++PqmsKQ50vjDqX/glqW3cM2r15DhyCDbnU2Dv4H2UDsTcifw6GmP4lKT/NDWB15h8QV1Ln/kQ1RF8LsrZ7FoXAHpLo3mjhBvfraPe17byLV//pgX//c41CSmPEiFW3M43ERz8womT7qXgvzugcS83pFMnfIgb78ziRUrr+D445YlvP9UjSr1G4eDUHsbatrgszkSLteAuDWfO/pczhl1DpUtlext34umaIzKGkWeJ874UgPFUBphWbx4Md///ve58cYbuf/++wH45z//yR/+8AdWrFjB/v37WbVqFTNmzDhiW8899xw//OEP2bZtG6NHj+anP/0pF154YX/Es7GJ0PerbnzueJ477zlW1q5kdd1qWoItZLuymV4wnZmFM3ucj044KXiAfbh9P7ubfLzx7UWMLcqIlmd5HXx+djmBsMH3/7WWp5bv4sq5w5Mmh9T1AU+poKoZOJ351NQ8T37+yWhaepc8UrK35jkARgz/WlL61w2DUPVO/vraaxiGYUYYlhJDSgzDwJAG0pD4DUlVRg6ZqoIhI/Yw0bQBncd0Rhg2MCIDnUZsvZi6EggDH7mzmeNrJIxAl6AL0BHomMswAj0SBTgM6JHv5fMZ+YxsbcNdaGEvl0OgeDzIJE8JdSKEYETWCEZkjRiQ/hKKFQbL6YfCsnz5ch5++GGmTZvWrby9vZ2FCxdyySWX8JWvfKVXbS1btoxLL72UO++8kwsvvJB//etffOELX+C9995j7ty58Ypok1IEZvC4+JFSsnxnI29tqqWqoQNNEYwpTOeMKSWMKUw/cgNmI3FPxKqKypziOcwp7iFH0UCQgjxInVM9H+5o6KawgPl7bKxpAWBiSWZS5ZAMfEoFRdGYNPEXrFn7Dd7/4ATy807E7S4hrLfR2PgR7e2bKSu7kvLyLyal/2GFBYw6+UxCoZAZ/0IIFFXFoQgUoSAUgSoUVgclb6tp3JipIoRAwbSDEQIUIcwyYabCUBQzk5S5TzH3KcLMhC3MZef6vLDBaFc5qhA4FAWHItAUBYeioCkKmgCnpuHUNFwOBw5NRVU1/vnhe3T071JPGYrHgxEagq7mCUJYbIglLoWlra2NK6+8kkceeYS77rqr276rrzbDq+/cubPX7d1///2ceuqp3HrrrQDceuutvPPOO9x///38/e9/j0dEm1TTT2utVn+IG/62iqWb6yjMcDG6IJ2wYfCfz2r51Rub+dLCkfzgrIkoR5qWkIP0TgopGWGZUpbFVfOG8cPn1/Hymj2cMK6Q3DQHtS0B3txYy+qqJm4+dRyzhuUkVQ5zemTgDY7z8hYxf94SqqufpLHpI5qal5teQumTGDf2NnJzFyatb4/TxbXnHjkNQ3pdE6t21XLl7HFJk6UvCKeTwABGi00kisuNDNrRh4+EtMgQS1wKyw033MDZZ5/NKaeccpDCEg/Lli3j29/+drey008/PTrNZHP0cddLn7FqVyOPXHMMp0wsjEZcDIR1/rKskrte/ozcNCc3nDTmCC1J5GC0CwBT2UqB0e2d509hweh8/vbRLh58ayttgTBZHgezh+fwxJeOZdG4gqTLYKYlSM3bndtdypgx301J371BFcIybqYAwnVohSU6paUbGIaOYcRMcRlGzLqMTnkduE8ahpntPazTGtbJUhVzKsvQzRFUQ0bdxKUhzfpIpB6ZAjMMzDkyI3KcWRdDolfvIVPXB/gbG0RYa4Cl7wrLU089xcqVK1m+fHnChKipqaGoqPv8Z1FRETU1NYc8JhAIEIiZe2xpaUmYPDYJoh831Q+213PJ7ApOndT9vHBpKl8+fhR3vfwZv3h905EVFmlYblizt4iWbWjt6wa+XyE4a2oJZ00tAcAw5JFHshKMlAbC4nlWVn/4CZXvLI0+KIk8WJEy+pA1H6iG+YDUDdB109XeMMDQEbq5LiLb6AbC6KxjPmRFxM6k8xfYXFhC1mlnA9YYYcmeNJGd9/2anTEKZlhCq66To6mm4ikU043bnKsyRw6j6zHbCFNJF0QiVHcd45PQENYp87gjqbKVrqUiurajx0WUfUWJ6ccs75xya23voGbaHJIft3qQYxEFuU8KS1VVFTfeeCNLlizB7U5MAKVODsxZIKU8bB6DxYsXc8cddyRUBptEIujPWT6tPJt/r9nDBTNLmVaeHS2XUvLSmr0AXDF32JEbstKraB8xvBUYmTNIdazbgVZWAPOt2OIjYztfeRXPmDEUjBqJoiqmPUhkiaKgKp02I5F9mmauq2rXn6aiKApa7D5NRVVUVE1FKArKAaNsb77/Mcq++hR96oM58fMXwOcv6Fa2qd3Hl9bu4P15k1IiU29Zu3EL61YO/EuBTXz0SWFZsWIFtbW1zJ49O1qm6zpLly7lgQceIBAImOGn+0hxcfFBoym1tbUHjbrEcuutt3LzzTdHt1taWqioiC/FuE0S6Odw/o/PncR1f17OeQ+8z5SyTMYUpBMyJOt2N1O5v4Ozp5Vwx3lHDtomg0HQUv3Ijw/TU8baowzJwhgM2Zr1MBWzpjFxShKDB/ZAhstJm25t2yyPohAaDO8K/TDKPxro/GoMwxo/Zp8UlpNPPpm1a9d2K7vuuuuYMGECt9xyS1zKCsD8+fN54403utmxLFmyhAULFhzyGJfLhcuV3DgYNqmjMMPN8zcs5LV1Nby1qZbqRh+qECwaW8CZFxUzf1Re7zKJSmn9B9+hMFJjw2IFpNQtPyVEWEdJgTKc7nHRZvGRw3RVQbe4jABCN8ypKpse6bzHysGosGRkZDBlypRuZWlpaeTl5UXLGxoa2LVrF3v27AFg06ZNgDmKUlxcDMA111xDWVkZixcvBuDGG29k0aJF/OxnP+P888/nhRde4M033+S9997r36ezGdQ4VIVzp5dy7vTS+BuJI3CcZTjCtOhQRqbApbuvpO+uQk3BQznD7ba8G7FXVQgPAoUFqQ9eo/wBQCidCos1TriE/1IvvvgiM2fO5OyzzwbgsssuY+bMmTz00EPROrt27WLv3r3R7QULFvDUU0/x5z//mWnTpvHYY4/x9NNP2zFYBjVWedAO4iFfiyS8TgVSDnzguL6SsbsakQIPkzSPh/YB77VvuBSln1GYBghdHrWjmL2h8xIclCMsPfH2229327722mu59tpr+3QMwMUXX8zFF1/cX3FsrIIAS5iWy74nP7QKpuG5Bb7DFCANHSw+JbR35mwK0nsZwDCBeLweghY/LYQQlrj8j4QwwkNiSkgaBuhhCIeRegj0MDIUgvb9SNUF4RAyHCmPXYZ1pB6ObIdBj9SL1NdDYWDs0FFYbGx6xiI3LClRaj4mtG01jtHTUy3NQXQ8/gOkr4nolyVjVnevw5FRB899+QitiAN0MnHAMnaXOPx27LFCdC2j60pMGYBiKhZCOeivNWjQ4h5mZiRWFCTCtEsRwjQmjrikisifjERiFYoKe9az3VlI2/ZKQEQjuIoYETvd1WM/gYju6/FbOrh+zHFSdvv6uy0795nb5lpbMJSSERa3x01wMEy3DAL2ONy84Mlk+5MvpEwG2XkSSmjUFH72wm8oaj9EmI5Y58sDHTGFMKdwFCWyFIjmXZA/OqZcATWy7Glb1UBVEaoKqopUHJgKizXGy2yFxWZI41zwefwb/0Pw1d/i+N8/plqcgxBrnoD53+qyVYl5miqFFZARAGescbk8QBE88MHVqe309ECTB5d325bdy6UR057RdbyUMeth0IPm/gP+lA2vE5pwTdcxsjM/joGI5LHpLAMjpm0DpwGbC2ezrHJPJCeOjOTEkcge1JEDlYwjlR9YFjv7Frs8ULnp2ieZ0dhI69bNMHpgM+0Kp3NQu+v3FSl1Ghreo6HxA4KBOhTVTXr6RAoLz8TlzO9X24GiYsYEFZ49+7gESds/Fv/3GdLuuY+K4VOOXHkAkFLC19/CGm+ftsJikzSsMcyqFo9AmXkxxub/plqUnnFk4L34O6mWIik0bjueYRfdcVAckd4yNcHyJJr3n3+KtDg9I/tDIgyxpTRoalpOc/MKgqFGNC2TrMzp5OTMR1GsEwbA59vN2rVfp7VtPW5XKW5PObrezt69/2Tr1nsYN/aHlJVdFnf7DkVgkdkOABxCIRC2TqoA81yTWGSAxVZYbJKEVWxYAFxeRHhw5joZzAghMAwjboXF6jjdbrQUKCz9pb19O+vWf4u2ts/QtEyczgJCoUZ2hBrweIYxefL9ZGVaY/p0/fobCYWbmT37GbIyZ0WVtVComa3bfs7GTT/A46mIO8eTJsCwyn0KcCmCYNhayRgVYaY/sAJD805iYxODcKWBPjAp5G26EEKgh8OpFiNpSMSgm5oxjCCfrv4ShhFi1sy/s+j4lcyft4Tjj/uYOXNewOHIZcWKywiFmlMtKrruo7llFSNH/C/ZWbO7jSw5HFlMGH8nAKs+vTbuPjQh0C30EzoVhaBuLYXFHGGxxpdkKyw2ScIaU0IAwukx7SxsBhZFQbfY22JCEQLLjJX3kra2Tfj9VUyc8FNyco6NKgFCCDIzpjBxwt1IGWTTph+lWFJQFDde72iqdz+J37+32z4pdXbtegQgqrjE1QfWyUQM4FQEQd1aSr4hVZrrfakWA7CnhGySRv9yCSUUp8tMLJcEpKGj71oPeiTBXcQwlM71qKEpdDMs7fwbyoqUGOIKi6JYZqi8t7jdZSiKkz17/0Fm5jQUxRndJ6VOTc3zAJSUXtLvvvo71SKEYPLke1m9+st8sOwksrNm4/ZUoOvtNDevJBCoYfjw6yktvTTuPhRxoGl1anGqGkELZo/evrqB4+M3FUoYtsJikxwsFIdBaA5I0k0g8J8nUf5zKyHnaLpcgaHL/7Zzu6elQJbMS4pclkCoQ1phkUIgUnWSx9mt05nL+PF3snHjD2jYv5TcvEW4IjYsDQ3v4/PvYvTo75KX23+vGSUBxsGZGVOYP+8N9tb8i8aGD2hv34KquCksPJPi4gvIzOifN42CMD1hLIJTUQlYcBp18oLCVIsA2AqLzVGAcDiTNsKCUAkVLCLt/z2VnPYHM0IxR52GKoJBNyUEUFpyMVmZM6je/Veam1fSGHwfzZFFTu58ppT+mszMaakWsRualkFF+TVUlF+T8LYV67xXAREblmTdq+LEoYbQnNYwLrcVFpuhj+ZI3oPT6Rra0zr9wJCgKdYZbk84sVHmUtF9P3JNpaWNYfy4HydYosGHacOSGAwjSDjcgqpmoKrxJeZ1aRrtPgveTywyCmUrLDbJQUrLTA0LzYFIksJiVYPe2lY/G/a00BHUKchwMaU0C88AvyVJBOpQNus3DIQjRbdQRUAoBE7nkevaHBIh6FfOIykl+/a9SFX1E7S0rMFsTZCRPomyssspLb20TzmxHIpGwGIjLCnXzGOwFRabJGGhzH2KmjRPAOHygGGdOeeqhg5+9MI63tpU163c61S5ev5wbj51HC5tgBQXI4yqpeaBGtrXTqCyBaM9jOJRcZZn4ChLT2z2az0MKYrDogoIBYM4raywWOMZd1gU0T/X9M1b7qS6+nHy8k5i/Pg7cDnzCYYa2b9/KRs33UZT03ImTfpVr887l6oS7Kchd1VDB0u31FHd6ENTBGMK0zlxfCFZnngDAlrkPo6tsNgcDShq0kZYsNAIS3NHiEseWoamCn5+8TTmj8oj0+1gT7OPV9bu5Q/vbGdfs5/7L5s5IPIII4zq9AxIX52EmwM0PruZwNYmEKB4NAy/DobEUZ5O7hfG4yj0JqQvoespU1hcEvz+AM4UJF/sLYoAv27gtvAwm9oPs2mfbxfV1Y8zduxtDKu4rtu+stJL2bPnGT7beCs5OfMp7aXXlVNzEIzTLioQ1rn9xfU8tbwKVQhKst2EwpKaFj9ep8qtZ07g6vkj4mrbIjNCtsJikywscoaDmcgraVNCbsuMsLy+vobaVj8ffO9kirPc0fIsr4OJJZnUNPt5dkU1XzthNBNLMpMvkBFGdcQ3lx8PUpfU/2kd0q+Te+VEPBNyEA4VGTYIbG+m6aXt1D2yluL/m43iSsCtT9cRjiO/te5u283L21/ms/2f0RHuIN+Tz+yi2Zwx4gy8jviUJycSfzDEAPyKceMQgpawbmmFpT/BF8LhNgDSvKN63O/xDAOgw7ez1232R2H52aubeG7lbu44bzKfn1VOWuQc39fi54H/buWHL6ynKNPNaZOL+9SuIqRlPKmseybZDG6khaaEVI1kKVDC5UUY1nDdTXdrGBKqGzsO2ielpLHDlDM9EQ/rXiHNLLADRGhfO+F9HeR8YRzeqfkIhzn6ITQF97gcci8bj9EapOnF7QnpTwRDGKHD//Z/3/h3zvnXOfxp3Z9oC7WR5khjR/MO7lh2B+c+fy4b9m+Iq2+nAH/QGiN7h0ITgtaw1ewxuqP2w0soPX0CWVmzWLf+Jnbt+hMdHTsJh9vx+aqorv4r69bfSFraWEaNvLHXbTpVB/44A8e9vr6Gq+YO55r5I6LKCkBRppufnD8ZgK/+ZUWf2xXCQFokHLA9wmKTFMK6RG/bx677z+hWLhEcPJ0rDqgTu0d0pV8/zDEHbcd0ooSDpNXWseaqq3s+9BAcuu8utFA7E4bt6V2DSebUSUUcOyKXKx75iAtnljF/dB4Zbo09zX5eWbOXZdv3870zJ1CRa77V64F2dj9xM6HaLZEWOn+bmHgynWVCmMaDojMhmoiUmX8IAUIxI89Etj2+Gh5/8LdmK0IglK76QggmTJzErOMWJezzqxlOUMD/WQOukVmIGA8lKSWBLU0AuCfkJKS/jBnT2f2v56lY1PNn+Gz/Z9z90d1cMeEKbpp9Ex6ta3qsurWa69+8nktfupTlVy7Hrbl7bONQuIQgELCGonwoHIqgzYJB0GJRhIh7ukMIhenTHmXL1p+yddvP2LL1p7EtU1h4BuPG/bhbcL4jUZCRQ1WcP+uogjTe2VxLTfOobiOsAJ9UNgJwwriCOFq2yIsntsJikyQ6RDq+9GEUXPtETOkBd4aYO0XXkOOh63TVO3ydg9sE3Rdm4iFuHIcc7uyhvKe6TX//AlawJHCoCk/8z7E8+t4Onv2kiqc/qQJAVQSzhmXzyDXHcOqkomj93Q9cipAGw//ndyiaAyllJFpvZAhYmtFPpTQj+kpDIg0dQ+pm0F5DN48xDAzDAGlEt6Vh0B40mKNmYxhmFGDDMCJtGDQ0NrD8vXcTrrBknTmK5pe349/ciGdiLkqGE6MjhH9zI6HqNtKPL8M7NZ6b9sFkTppE0+Yth9y/um41ilD4v2P+D4fafeqoPKOcBaULqGypZF39Oo4pPqZPfTuBwBFGd1KNQxF06NaOU2PGYYl/9MDhyGTSxJ8xdsz3aWlZQyjUiObIJDNjKk5nXp/bS/NmY4j47KJ+fO5krnjkQ0785Vt8bkIhowvSCeoGa6qaWbZ9P8eOyOX3V83qc7sSLKOz2AqLTVKQUiJUDU+2NSIkJpP2FHnC9ITboXLDSWO44aQxtPpD+II6WV5Hj55BwuWlov516reuIv+4ywdUzn1797B5/fqEt5txfBnOYRm0fbCHjk/rMDpCCLeGsyKDzOuG4xmfm7C+jHAYcRj7jBmFM5BScs/H93DzMTeT5kiL7qtsqeT93e8DMLVgap/7dirC8gqLUyi0W1xh0RIUq9jhyCIv7/j+t6M6CMepHYwpTOeNb5/Akx9V8vamWj7d1YSqCsYUpPPLS6ZzwYxStHjsiawTocJWWGySh1VO8qOVDLeDDHfPRqHtlWvx7H6X8I/3kO9O67FOMnE4HP2Kf3E4XMMzcQ1PvjmqHtZNg+5DMCF3ArfNu417Pr6Hf2//N5PzJpPuTGdf+z42NmykJK2Ef5z7D1xxBBlzicGgsAySERZrmGcAoKka4SPNQx+GLK8j+sKSWKzxJdkKi01SiMwo2FgUV+FIdobyyL+nFN//rsOTXzGg/Xu8abQHAtx75+0JazMY1jnj9DOYsWBhwto8HNLQUY4QFOwL47/AovJFvLLjlaiX0ITcCVw16SpOG35an21XOnGpgkDIGt5ph8KpCDosnrpAEynLBtUjQlUtJY+JdV49bYXFxqafWOdy7j1t21cwOd20cfE8MAX5g1rEALoge7xevnv7nQlt87nHHqW9rTWhbR4OoWm9ylFVnFbMl6Z8KaF9OxUFvwWT5MXiHAQ2LKrFFBYgdQk1D4Ftw2Iz5BHCMud40rHW7eXI1P7u8wQMB+FQFv68KXiO+xp5A6isJAspJcoAulErmoZMkdLgUhRLZvWNxa0o+CyusGgCDItdwdKCd06rSGQrLDZJ4WiaErLKxdxbCmvfpOHcp1CzbyF/9MBEvR0IpJT04DOfNBSnE1IUZ8SlKryxt569z7+KxEw0KaVEIs1rT5q+L0Y4jO7zIdLTI7YaMpoZRkqJ0blOly2HxHyIm2UiJpOMRCKQdB4Xu6+rnc4212XlsyscYvMHH3bPRiOJabGLaDvywLKu/832RYycgj0eL3VFJSiKOOhzdHYlYz53LIaEdAsFtvP526lRBt6m7HBIaZ23T1thsbHpJ4NNMWskn9zZZ6ZajIQjpTyiTUkiEZqGjDPIV385Z+4sctd+hqKYsW8QCkKYcUW6Yt1AaMtW2j/6gPwvXYfAfPAoQiDoqtsZa+fg4wWic1+0PtH6SnSfiMTfoau+EHxDgqaAGvlNuvLpxMRiEt1j/4gDyzrbjcipRNbN/hSEEPxwybvckuNi3MhhKEKgCIEqzKionesCgYLp4h/5xFG1xzrqChjSYJRsSbUYB2ERfcVWWGySyGB7kh8l+NWsSDZtq9yGEoM0JEIduM+kOp0pmxLKz8/jvJOOO2K91rCf+hf2MvLYvsffGCzkqIJcI0yZJ55pTWtdAx6nl4C0kgoVmaKyyNdkKyw2SUFK2S3S6ED2G673oTcHEQ4FR6EXxWOf5rFIFIxwECUJditBf5j2pgCKKkjPdaMO4HC7RKIM4Puy4nSC1SO5uj0pU6oGCrei4AsEUi1GQlBUNWnu/v3BIvqKrbDYJAdpSAZwdB4pJe3La2j9bxV6U8zNS4B7Qi7Z54xCy0tW5mCrXM69QyoOdF9bQhWW3Zsa+filHezZ2hQdWdOcCqNmFDD3/FFkJu2772LAR1g0B9LiuXIUt3voKyyqgs/iaQoGNRYaKbcVFpukII2BnXFofauKliWVeGcU4J1VhJbnxggaBCubaV26m9rffUrRt2ahZg1+b5h+ozoIB9px0PfQ4T2xbWUtrz2yjqIRmZx05QSyi7zoukHtzhbWvr2bf9zzCRd/75ikKy2GoaOqA3dLU5wOSJENS28RnqE/wuJRFHwWD6I3mLHSlJC1JstshgwDOcIipaT1nWrSjysj97IJuMfloOV5cJakkT6vlMIbZmC0h6l98NOBEcjiGIoDI3BwRud4+filHYyYms/nvzObSceVUjo2m4oJucw+YwSX3XYsvtYQf7/9o4T1dygMw0AZSIXF4QCLu+0qXo/lp636i0dTbYUlyVhEX7FHWGySg2EwoDYsQhMY/rBpO3PA0I4MmQ8VxdtzmPr+IoXACHagqM5uWY6j61YzblWc6P72hDWnhw0cLrXHu5rqMLXWcCj5D3bDMNAcA3dL01wuCIeQuh7x4+9MGtmVAJKY5JCx293WpUTqkUSSkbLYejISLVbqkQSUnQkqI8kopWE67Mpockk9krjSwGhpIWzxaLP9RSgKL/t01m3d3a088q2Z/8e4OndyqJkOEam/ts3H1HRP9PI9MIR/tT9InlPDrShIwNFQR16wI+pW3unebfTgbi47Xa0jS6PT5VzCroCTTx78v4POHXNdxiQSNf9Wb6xnyticmHPPrBM9n6Jlh/rrClbX03ei6zegWyR/ga2w2CQFacgBe04LIcg8dThNz29DbwrgnVmIludGBg0ClS20f7gHNdtF/lf6nmSuN2wOl2HcfzpKzAeOjVbZ/WbQ05ciDyrvOqa3X2JXzSPdWtz+ev7616fwKf8+bL2QbjB+9GguuPqLh60367ThvPXkRsJBnUkLS8ku9mKEJft2tvDpm7vQXCqX3NK3bMTx0BYI8uJrS3jlP291y6othDh0Ru5+IAyDOW3tfHjRRRAdNhfITj/giCtu1Gc4Wq5EXXclEddi5YC6MdtCmG0KcfB+0dO2IiJ9gBHW2TNiBBMS/ul7ZnvTdl7b+Rpbm7YS1IMUpxWzoHQBi8oXoSnJedzkBjpwdOg0h8yRpNj7jjhwGdl5YHksnWeKWxEEDwgoFVs/JCW6NBUjAWxZ9i7Fs4+J/LxK1M1bQSAU0w0cYbpXd7qdd7qYC7pcyee1+SlMn45QVLMdRUOoKoqiIjQVRdUQSmSpaoxr7yA9JwehKOYxirmfSD2hdpWZ21pMmQaKilCUQ75YPfj1NzFEcl72+kq/zqDFixfz/e9/nxtvvJH7778fMDXIO+64g4cffpjGxkbmzp3Lgw8+yOTJkw/ZzmOPPcZ11113ULnP58Ptji/Xhk1qkQbEmSU9LtLnlaJmumj57y4an90cLRcuFe/0AjJPHY6alpyLbr13PtOvuIL8/PyktJ8Mvt6LOqs/WsbaFSuOWG/ScaU43Cofvbidl3+3ptu+8gk5nPqlSeSWJj8YllMRXP75zzN83Lik9xXlllsGrq846GhoYOuv7k16P1JKfr3y1/xp3Z/IcGYwKW8SLtXFR3s/4ulNTzMxdyK//dxvKUorSnjfeQ4HF7bu44yJwxLedl/40eO7+fqibyWgpRl9qp2TgB4PixQp8fjsibgVluXLl/Pwww8zbdq0buU///nPuffee3nssccYN24cd911F6eeeiqbNm0iIyPjkO1lZmayadOmbmW2sjJ4McOkD2yfnkl5eCblYfjC6C0BhKag5riTfrGpqorf709qH6nAHJno3XTC2GOKGDO7kJZ6H60NARRFkFPsxZPhTLKUXYR1HWdcsTiGLoauowyAm8cblW/w6LpHuXHWjXxx0hdxqF0vB6vrVvOl177E1a9ezeuff/2gKdv+orrdGIFgQtuMC6tN/SaQgUx5cTjikqKtrY0rr7ySRx55hJycLv1OSsn999/PD37wAy666CKmTJnC448/TkdHB3/7298O26YQguLi4m5/NoMXQyfhN6beong0HEVpaHmeAXkz0DSNwBCJAxGL6ONNSghBVoGX8vE5lI7NHlBlBUDXdZxOW2GJRVGUAYnrsbJ2JRUZFXx56pe7KSsA0wumk+fJY2/73qT0rTqdyCF4/VmJVN3LDyQuheWGG27g7LPP5pRTTulWvmPHDmpqajjttNOiZS6XixNOOIEPPvjgsG22tbUxfPhwysvLOeecc1i1alU8otlYhIGOiZFKNE0boiMsSlJsP5KFNCSaI3Vz7UZQJ9zox/BZx41YdbsHxGByRsEMqlqreHz944SN7p9/w/4N7PftJ9edm5S+HU6Hafhsk3DM61+gWORe3ucpoaeeeoqVK1eyfPnyg/bV1NQAUFTUfZ6yqKiIysrKQ7Y5YcIEHnvsMaZOnUpLSwu//vWvWbhwIatXr2bs2LE9HhMIBLq91ba0WC//wtGMNCSKReY9k82QHWFJkrFqspBSoqgDaDgV6bNjVS1t7+0mtKfL80rNc5N+bDHpC8sQWuqG0zW3G2MAfsPTR5zO2vq1/PKTX/KndX9iUt4k3KqbytZKtjRuYWzOWH538u+S8qauOTSMXro1+3xV7N7zFM1NKwiFm9C0DDIzp1Na8gXS0wfQ9mmQYOjmuaM6Bva6OhR9Uliqqqq48cYbWbJkyWHtSw5yK+3B1TSWefPmMW/evOj2woULmTVrFr/97W/5zW9+0+Mxixcv5o477uiL+DYDiBxgt+ZUomkawaAF5tATjKIoB/tyWhiJRNUG1vGx+ZUdtL27G/fEXNIXmIbfhi+Ef3MTza9X4t/WTP61k1N2LaiqOiCBSoUQfGfOdzhv9HlRLyFf2MfU/Kl8bdrX+Nywz+FQkjP6pWmOXgXH27fvJTZ89h0UxUtu7gIyMiYTCjWyb9/LVFU9zrixt1FRcXiPuKMNPWxOKKopVLpj6dPVvWLFCmpra5k9e3a0TNd1li5dygMPPBA1mq2pqaGkpCRap7a29qBRl8OhKApz5sxhy5Yth6xz6623cvPNN0e3W1paqKio6MvHsUkmhoG78m12/+KWiMNt523zQOfb2H1d291LxcHuvULQ2taG1+tFUdSYYw9wH+7m42iuF7dtoMORS7Or9MAmj8ABrseRzTktDTR5rgXmHXTEYGYwjrBoA6iw6K1B2t7bTdaZI8g4ofu9xzu9EM+0fPb/eT2tb1WReXJqPVgGivG54xmfO35A+9QcR1ZYQqFmNnz2PQryT2PixHtQ1a6oy4YRZMvWxWze8hPS0yeSk3Nsn2X45UO/I5AzeLwEe4sRHsQjLCeffDJr167tVnbdddcxYcIEbrnlFkaNGkVxcTFvvPEGM2fOBCAYDPLOO+/ws5/9rNf9SCn59NNPmTr10HEzXC4XLpdtYGdVHIpCVvEwyv7vvf41FAmGFNnoKuu23vO+zuBJ3coMA/QQmUIhU1EPeiDHs1373hMU+mvj/IDWZbApLIZkQKeEZMgAySHTPaiZZrnenNrpwsHzC8aHw6Ehj5AiweerxDB8lFdc001ZAVAUJ+VlV1Jd/QTVu/8Sl8LS1tzEt770lT4fdyQ6WoJsW1lLXVUroYCON9NJ2bgchk/NG5DEoro+iEdYMjIymDJlSreytLQ08vLyouU33XQTd999N2PHjmXs2LHcfffdeL1errjiiugx11xzDWVlZSxevBiAO+64g3nz5jF27FhaWlr4zW9+w6effsqDDz7Y389nkyJ03UjMw6MzMFY8hzIwIaWFOwsRaEt6P4GdzfjW7SdcZ0bT1HLduCfk4h6Xk5QpB6t4BvQeGTPalny0XDfuibk0PreFUJ0Pz+Q81EwnRkeYwJZGWt6qQivwkH3uqAGTqUeGuMbicDrhCDYs6enjcbmK2bTpdiZOXExG+uTo+d3evp2Nm34EwLixP4pLBsOQuBLs+rtx2V7e+fsmDF2SV5aO06NRW9nKmv9Wk1Ps5ayvTyO7yJvQPg9kUE8J9Ybvfve7+Hw+vvGNb0QDxy1ZsqRbDJZdu3Z18+tuamriq1/9KjU1NWRlZTFz5kyWLl3Kscf2XdO1sQbSkCgWOckHO1I3aHhmM77VdahZThyl6QhFENjaRPuHe3GOzCT/6kkJTz0gFAVD1wkFAyiKiqKqlldiBjpeRN4VE2h+vZK2pdW0/mdXjCDgmVpA9jmjECkeTrf4T9ZvHG4XInh4hUVRXEyf/ijr1v0vy5efj8tVjNNZQCjUiN9fjctVzKyZf8flKohLBkNKHAkc3auvbuU/T3zGhPklLPz8GNwxQS/rdrXyyu/X8PTdy/nKvcejJHGkpTMMk1UcKPqtsLz99tvdtoUQ3H777dx+++29Pua+++7jvvvu668oNhbC0OWAJqJLLcl9hW17bw++tfXkXjoez/SCbqMp/q1N1P9xLfWPrafwGzMS2q8aDOH9dA2rzz03Mr1GjMnRwekEDkdG1W46igvRnTFK1YGmSwevRqv1pqfCimH86Xu39mwWFaHFMPjmnXeiOhMTI0Y4VLLPGUXW6cMJ7mnHaAsh3CrO0nQUz9Fy/qcWp9uN6IXRe0b6BOYe+xoNDe/S3LyCYKgBh5ZFZuZ08vJOQlXjNzGQUuJI4DN99+YmFEVw4pXjD5r6KRiWQcXEXD77YC91VW0UjchMXMcH0DklbJUXFfuKskkKxlE2wpLMCzpQ2YJrRCbemYUH7XOPyQYguKs14f06VJW0MWM55i9PJrztZDCnF3Ue+/73kxKzQzhUXMOT9+CwOTROlwsR6p2XnqJo5OefRH7+SYkVQkpEAkdYCodlYOiST17eyTFnj+imtLQ1Bti7rRkg6SkvzMSa1vH4tBUWm6QgDRAD7GKaKpJtmOoamUnzqztoX16Dd3ZR9OYhpcS/udGsMzor8R0PRduHXnymZzZt5/26Rgwpu/4wv29dmpl1ZaRcj2TYbW1rwwC8Xi8GnRl66fqTRCPOGrHldJX3PtFl3zCmL+RLSWnZGjg1DVIeOE4iEvj7lYzJZu75o/joxe2sf3c3JaOzcbpVWhv97N3ajMurcfEtx+BwJne6sfPWZpEBFlthsUkOhnH0TAlpqkYgiTfM9AVlhGo6aHxuC82v7zRtWASE9nWgNwVwjckm76qJSerdIneqBLL+lVdQHQ4QAk9WFqMXLeq2/8nt1VxemkeOQ0NVlJg/ccB215/UdTRVwelwoigCVQgUIVAjWXvNdfN4ATF1zHY7M/gmg0uefCEp7VoFTVNN779UImXCL5VjzhzByOn5bPqwhvqqVjpaAnizXCy8eAzj55XgGoApx+iUkD3CYjOUMQxQjpIRFqfLSVsvh6TjQaiC3EvGkT6/BN+6/YTqOsCQeCbn4Z6Qi2tMdlIedta4RSWWuccfT8327VFX97WVlXz1gASuhq5z+sRx5DpTF+Y/kXQEfCz98Q8A08U/WLkLragQ4XRGzJG6QgLITvsk2RkaoPuye9gAGT00NvyARJpNREMN0K28E10P421tJ9PhMl/hFaX7ksOfgyJmZNNRV8MvHnm4r19NvxGtLeBw4Nm1LSkG33ml6Sy4aEzC2+01B4bPSjFHxxPFZsAxDIHiGPqnV7C5Dt+6NwhoSU/yjrM8A2f5oTOeJx455GaFJp51JrFjUW333suzv/hFtzpi1FRkIAhDRGEJpHspnjIVMEME6CVlqLl5KE5HNGyAqfCKSBWlawld+2PrisgEiBKpS+cxXWEIRIziQaR98xizbOuq5dRs28LE8y8B3TAzg+s6Uje6jZhElSohYh6c3QND6i43mXl5SfoGD82WfzyJO6+QSd/9EU5Pcl2MU0GnojpkvIRsbHpCyqFtw2LoIereexrlv3dSlzGXrd5yDh3mcJBiGJYZCk4W58ZEy+7knSeeG1LJ9ITDybiLzku1GAex39dGTX0txcef0O+2yhMgTzy0v1+KKy2d6YfIeTfY6XRrtr2EbIYs0pBIKVC05L2h7trfwRuf7WNnfTsSyYi8NE6eWMTI/CRZzUtJuKWWxk+XEPjocRy+fQTzp5Jz7d8JVzYht2xOTr8pRBqGdaztBpzkji1JKdH1dhTFgaIkN2K3sOg4mcPtQU/iVOpAoDoc6L1MvDgYiU4FWuQ2YCssNgmnMzus4ki8wqIbkrte3sBjH+zEqSpRBeUfK6q56+XPuGreMG4/dzJanMGU9GCApg1LCax4CmXvqqhbHwjCigcjZyRZ5/2E7AkLoseEty1BHYIGxoZhJO3NanPjZpbXLKe2oxa35mZCzgQWlC3A1Y9YGAlDiKQlfWxpWcvOyodoaHgPXTejI3u9oyguOo9hw/4HVR160wqHwun2DPqHvcPpwt/RfuSKgxTbS8hmyCMjKclFEkZY/vTeDh7/YCc/OGsiV84djifi1ucP6Ty9vIofv7ieDLeDW86Y0As5wzSt/S/tn76A2L0CVfcjhYKeWYEYfza5l92PM+3INiOGrg94hNWBQOo6SoLvVE3+Jn7w/g9YWr0Up+KkwFtAR6iDxkAjee48frLwJywqX3TkhpJNEhSW2rrXWbfum3g8Ixk+7Ct4vMMxdD9NzSvYWfl7auteZ/asp9G05MbWsApOj3fQKyyqw4keakq1GEnDDhxnM+Qx9OSNsLy1qZbPTSjiy8d3z8/idqh8ccEIfvzien7/9rZDKiyt21bQ8I9bcAb2IzAIZo5EG38quef/EHdOcVwySTk0bT10PfEjLN9793ts2L+BX5zwC06uOBmHap4j25u3c+8n93LDf27g+fOfZ3T26IT22xeEICkKy5bNd5GXdxJTpzyIonTdektLL2FYxXV89PFZrFl7PbNm/iWh/fpVjZAhcVjsHHV5PYSPkGXZ6kgpqd6wjpd//XMMw/SgkoYRjQwtpWF6XxmyK1p0JClr5x8HrNft2kFe+bCo15aMGJLE1o0u6ewj4rVlFkCsp1bE86vLAywie8QbLBq4OtY7LFo1H8Q59pSQzdDFMDoVlsSEP49lfHEG/1hRzcpdjcwa1t0zZ221Gf1xTGH6QcfJcIDa1x9ALP8jaaf8iNx5F6FoiZl+0HWdcC9Cgw82pJHYkSNf2Mf7e97nx/N/zBkjzui2b1TWKO478T5mPTmLy1++nI+v/Dhh/fad5EwJhcJNpKeP76asdOLxDAegsfHDhPebGQ6y1x9gmNed8Lb7g9PjxQgP7hEWp8eD6nSQU1aOoqjmc11VEQgUVUEIgVAUhFAQiogsI39CoETXI/sVhY7mZtJz87qOVcx4PSiKWV8IM8mnElkKEIpq7qPTO0uJOHUpZj1hemyZ3j7mvthy04krVk4Ahdqdbbxw/xp7hMVm6NI1wpJ4heWmU8axalcTF/3uA2YPz2FiSQYCwcaaFpbvbGRKWSZPfGlutH7rtk9ofP7HuNoq6SheQNmN/8GZU5pQmZwud2IyU1sMwzASGr3Tpboo9BayZOcSzhx5JmmO7lMfr1e+DsB1U65LWJ/xkozoxWWll1NZ+RBS6hQXX4DXMxxd99PcvIIdOx9AUdwcO+ffCe/Xres4rfG86YbmcMbYiA1O3OnpZBUUseDiK1ItSlJQND9g27DYDGE6FRaRBIUly+PgH9fP56U1e1myoYYVlU1IaXoJ/fKS6Zw/oxRHxOC2cemf8f/3XjLO+zk5M89I6lWX7PD8qcAI6wmNv6AIhbsW3sWNb93I6c+dzgnlJ1CWXkZ7qJ0V+1awfv96zhl1Dl+b9rWE9WklRo/+LqrqZVfVo1RWPtRtX3r6RGbNfJK0tFGHODp+dEWx5I1edTii0x2DFYfLPejtcA6LbcNiM9QxdPMmlKiMuAeiqQoXzCzjgpllPe4P+Xzse/mX8NmL5H/7HdxZuUmRoxORRK+SVCKlkXBj4vml83nh/Bf4+8a/81HNR3y450PcmpvxueO5fvr1nFB+gmVujolGUTRGjbqJ4cO/SnPzKgKBGhTFRVr6eNK8Y5L2uUOqitOCioGpsAzu68Y5BFyzD0f0tLHIJWkrLDYJp2tKaGBPr7q3HyPw3h9wSB9K0TQKv/MOmnsA3ETF0MwTaOh6QqeEOilJL+HmYw4O2Ha0oKpecnMXDlh/IaHgsWAQR01zpD4HUD9xer3og9xw+HAY9giLzVBHj4ywKHHGQukrTRs/ZP+Ld+EJ15P/tWdwFwwbkH47EUky0kw1hpH4ERabgUdKiapZz8ZKKAoBX0dC25RSsmt9AzvW1NNS1wFCkF3gYeTMAsrH5yT8wet0ewkP4SmhcNC8l2tOa9wHbIXFJuF0jrCoWnK18pZtK2h65884q96h8Px7yJh+Vmqsw4byCIs1XqwGliH0mQ3DdKGN5gWyGHoCveuCvjCvPLSW3ZsayS7ykleahgQq1+9n7Tu7GTEtn9O/PBnNmTjlzeX1DOkRllDA/GwOlzUUXlthsUk4RjgyJaQm9s4fDgZp3LGBjs3v41j3FEY4iHPGJRRc+XNUV+oihAaCYTbv3cevfvWrHvcf6a2upaWFzMzMXtfva/vx1g+2tzPBZS1X2IFADwW5ZPkGlEiCv8Mpo7H7D1zvCQlscGcw2d+aGGF7gWffHssM6R+INys7YW19+OJ26ipbOPdb0xk2qSsRopSSHavrefWhtbz52Gec8dUpCevT5U3DGMIKS9Bnjh4lUsnrD7bCYpNwjARNCXXs3ULTsmfwb30ft78GRQHFk427cDLui35O1vj5iRC336R5PYwqyOfiL325W3lXYCczyJMRm4E2ZgpJ13XUQ7hFx7ZxuP1HKutt/dj1bW+/TXNV1SHbGqqctmMDp584l5wRI1ItSkJ44MYngf9JtRhJZ9/2ZkZMz++mrICpoI+aUQDAtpW1Ce3T4fZgDFCiTF9rkDVvVbNr/X5a9vtRVEFuSRpjZhcyYUEJahKm4AMdAYQw7GzNNkMXXY9/hCXc0ULVfefj1fcTcmQjhy2k+IIf4B01B7T4vI503TDflpN00ZnKhsSZJK+oVFHrctF6FNqwKEJgDGG7hKFK6bgc1r1TzdZptYyeWRC93g1DsvnjGgAmH5/YGEzaALlm11e38cL9q9DDBqOmFzByegG6blC7s4V3/raJjcv2cu63ZuB0J/aRHugIoqjWMYy2FRabhCPjVFiadqyl4y/XkDbnOgrP/Fa/ZNi/p41Vr+9i12cN+FqCCEWQW+Jl7Jwipn2uAkcChzhVVUUf5N4OPSF9Dfg/eZ89V/yre04RIcw5DyEi27Hr3febYTgjvkYH7u/cF4mySWwdeupHQN0mKBiPObkiQTeQugGGbnqcRLZlOAiGROq6uTQMMAzz3DSMQwQsk4DAKByPERq6Ce2GKseeO5Lm2g5ef2Qd3iynacMiYf/uNnytIcYdW8Txl45LaJ9igBT6d5/eTFqWk/Nvmokno/uLUc32Zp77+QpefWgt5980M6H9Bn0hFGvMBgG2wmKTBKKh+ftwMTes/i/y+a+TfskfyJx0Yr/6r1y/n1d+v4b0bBeTFpSQVeghHDTYt6OFj1/awdYVtVz4/2Yl7G1EUZQhaXXrLvaSfcJkis66pzPBTtfDHwOMzoe/qQwgI0qBoZvrkZwn5npknyRSpptLwyCawySSg6XrmJilIc3cJ02VkD2ciCZjJthUVXOpaQg1snR6wOFGOByRfQ6E5gSHE6Fq5rKn89MwyHn4RwjnEPxBhzgOp8qZ10+lZltzxEvIBwImLixl1IwCikZkHrkRi9JS72P0rMKDlBWAopHm56re2JjwfoO+IIpqnWvBVlhsEk6nDYv0NxFu1WKScUm0zIIePXkc2UX4paC1aguu8um4MnMOqtNb3ntmC2Xjcjj769NQHV0PpaknwoxTh/H0XR/zyu/XcMG3Z8XdR3cEcihqLEKgpHlRS0amWpKBQ1FQFYGuD11DyqGMEIKSMdmUjMkewE6T38Xo2YWsfbua9BwXExeU4PKaSUOb63x88soOAM795vSE9xvyh5Pu7dkXbIXFJuF02rDUPXI5TtWP+UAHT6AG/YTvU3TywQaAGcMnw5VPEFr6MI2/eQgMHX3CeZR94Sd97t/XGmTUzIJuykonOcWmN9HuTU19bvdQKIoy6CN29kwywsZZH6Eo5iiRTTdqdjSz5j9V7NnajK8liMOjUjg8k4kLShgzu9CynkhJZwAu/fkXjMYIGXzw3Fbef24r3kwnRljibw/h8mp87poJDJucd+SG+kgoGEZ1WOd3tRUWm4TTaTVf/p0lOD1dp1jV4zfBxjfZe4BLZ7dnfdEUjKIpoAdJW/k7oO8Ky8QFJaxasgtFEYyfV0xWvgddN9i3vYXlL+9A0QSXfO+YOD7ZITiS7+tgRQzVD3Z4hBBDS2FJgDK9/t3dvP23TeQUeRk/r5j0bBeBjjDVGxtY8sf1VK7bz8lfnHj0Ki1JRtUUFl0+nllnjKDqswZaG7q8hMon5CTc2LaTUFBHsxUWm6GMEe50a+5+omctvJKWD59Bb9x98EEH3OiCHR183DCZC+Lof/6Fo1E1hU/f2MUnr+zsplBkF3k595szyC/PiKPlnuloaaZhbw+fabAjhmhEvCNgKixDyIi6n0pE0B/m3We2MOm4Uk64fHw3F9djzhrBxg/38p/HPqOgIoPpJ1f0V1qbw9A5JTRQ6EEDrYeR6lRhKyw2CUcPm2+n4gCFJXPMHDLHzOlVGyteeYG2HW/H1b+iKsy7YDSzTh/Onq1NtDcFUDWF3NI0CioyEu7e7EnPJDO/IKFtWoOjc4RFsaeEuuFvD6GHDIZNzO0xHkdn3JOda+tthWWIEQ4ZeD2OVIsRxVZYbBKO3jnC0g/FYNmzf+PKxff1Sw6nR2PE1Px+tdEbVIcD5RCB3wY31hkKHkiEEBi20W2UjFw3JWOyePtvmwj6dUbNLMDl0dDDBrs3N/LBP7fhTnNw2pcnp1pUmwQTDkkcLuuoCdaRxGbIoId0QPZrPlsogpzixAZ5ShZD1uhWiKH5uY6AOEo/96EQQnDW9dN4668b+e8Tn/HfJz7D6VYJBc14NvkV6Zz/7Rl40vseONEwDJrr9kX76VSSo3eOSCyeqPl3NL5PbJkSrdpZKXrviSyU6HbMPakzijTyoOnPrt8/spSHOC5S19D1IfnSooelZfIIga2w2CSBUCCAlPEPqVdvXI8nIyuBEiUXzeHoFnY/GRiBMMHKVvTmAMKh4ChOQyvyJtXIUYihmYX6SAw5o9sE4E53cObXptJS72PP1iZ8rSGcbpWCYRkUDMuI+zwM+jp49iffNzdkt0UMXTtkD2UH1j30Kdubc7mHzyF62tO15W9rxd/Rjjdj8MZ5ORRGGBxue0rIZigj1LjzCEkp+ehfzzD6mLkJFip5aJqGkaQHu9QlLW9W0vbebmSou1KkFXnJuWgsruFJulGKIRpf5gjYNiyHJjPfQ2a+J2HtudPS+fJvH01Ye6ngj9/8MsGOjqGpsOi2wmIz1OkMFNdHPnvvHV598FcUjxnH/IuvSLxcSULVtEOEeu8/za9sp23ZXjJOKMc7qxAtz4MM6QQrW2l5s5L6P66l8JszcRQmPlu14Gj1ElKSPmJmM3RQNJWgryPVYiQFQxe4LKSw9MtfafHixQghuOmmm6JlUkpuv/12SktL8Xg8nHjiiaxfv/6IbT333HNMmjQJl8vFpEmT+Ne//tUf0WxSSLzz/5rTiTQMTrjqSzjd7gRLlTwcDgd6khKgtX9cQ8ZJFWSdPgJHgRehCBSXhntcDgVfmYoMGey7b0VS+kYolh1h0Q3JP1dWc+2fP2bhPf9lzk/f5PwH3uNXSzZR1xroV9vJnBIK1/toe383TS9tp+mVHbQvr0FvCyalL5uBQVFV9PDQTJZpGApOryvVYkSJW2FZvnw5Dz/8MNOmTetW/vOf/5x7772XBx54gOXLl1NcXMypp55Ka2vrIVqCZcuWcemll3L11VezevVqrr76ar7whS/w0UcfxSueTcrp+5z2Gw//lgtv+RFl4yclQZ7koTkcSRthUdIchPa0mQn+DiBU5wPANTb+NAaHQyjWtGHxh3Su+dNH3PzMagIhg/NnlHLV3OGMKkjnsfd3cup977C2ujnu9oWiJDwDrwwbNPxjMzW//ISmV3bg39SAb109jf/cwt57Pqb1nSrb0HeQoigq4eDQU1h03QAELo91stDHNSXU1tbGlVdeySOPPMJdd90VLZdScv/99/ODH/yAiy66CIDHH3+coqIi/va3v/G1r32tx/buv/9+Tj31VG699VYAbr31Vt555x3uv/9+/v73v8cjok1Kie/GKxTBqFnHJliW5KNpDowkjbBknzuK/X/dyL77V+KdXoCa50EGdYKVLXSsqcNRlk7eVROT0jcIK+or/P3jXXy8o4G/fXkuC8Z0d1tvaA8yf/F/OPeB99ix+Ky4jEGFSLwNS/NrO+n4tJbsC8aQNrsQ4TA9L/T2EK1Lq2l+dSdKpou0mYUJ7dcm+QghCAcDRxhlOfR5eNhzVHQfse6m1Pbo1RSzfoC3W+e63+fDMHQUoaAoAkVREYqC0vmnKiiKSihg3tOcg11hueGGGzj77LM55ZRTuiksO3bsoKamhtNOOy1a5nK5OOGEE/jggw8OqbAsW7aMb3/7293KTj/9dO6///5DyhAIBAgEuoZ+W1pa4vkoNsmgHw+5wege6HS70JNk8+CZnE/hDTNofaeKtg/2YHSEQYBW6CXz5GGkLyxDcSbn+7JqmPXK/R2UZHmYP/rg3Cm5aU68TpVAOP7fIxmRbv0bG0ibU0z6vO5RStU0B9lnjqTtnWoan95kKyyDkKLRY3n1wXvZXzScdHcP0yeHuR/29lbZlyvxcHU7vcJVVUVKc8K3c2l6YXV6WUmk7sTFvMEd6fapp55i5cqVLF++/KB9NTU1ABQVFXUrLyoqorKy8pBt1tTU9HhMZ3s9sXjxYu64446+iG4zQMQ7tF04cgzP/+JOLvre7YkVKMk4XC6MJE0JATjL0sm7YqL5vYYNUJSDoggnBYvGIzl9cjGPfbCTm59ZzbdPGcewPNPguD0Q5l+rdtMe0LlsTkXcCpfpJZRYhUUr8ODf1Eh4vw8tr7uXTWCHOX3lGpecqT2b5HLaV7/JaV/9JvfeeTvfvu3HqRYnYTTXdfDkDz9Ecw5ShaWqqoobb7yRJUuW4D6MUeSBNwopjxxErK/H3Hrrrdx8883R7ZaWFioq7LDQViBeQ82zvvn/+NNN1ydYmuSjqtqA2HoIIcAxcKNPVg2gNn90HvddOp3bX9zAv1btJi/NiUtT2NcawJCSz88q5/bz4o+6KpTEj7BknzuaukfWUHPvCtxjc9AKvaAbBHe3EdzZgnNkZhKn9mxs+k44aF4DWpJGcOOhTwrLihUrqK2tZfbs2dEyXddZunQpDzzwAJs2bQLMEZOSkq6hz9ra2oNGUGIpLi4+aDTlSMe4XC5cLutYL9vEEMdDbsvHy1jy0K+ZffYFiZfHJj6Edd6sDuTCmeWcPrmYpZvr2LyvjZBuUJLl4fix+VTk9s/FWwilX4EPe0LLdVN002zal9fg39iAf309KAKtwEvupePxTC9IeI6ro5WaHc1Urt1Pc50PoUBOkZeRMwrIK01PtWiDinAk7pM6WKeETj75ZNauXdut7LrrrmPChAnccsstjBo1iuLiYt544w1mzpwJQDAY5J133uFnP/vZIdudP38+b7zxRjc7liVLlrBgwYK+iGdjFeJ4KW/YU004FGLV6y+xbclfmTes3dwRDcstuqJqi0hQ7gNCdovYfXSN9IiYoJjiIOEOJ2z3fUL2vM9AMtwYerYHAmuOsHTidWqcMaWEM6Yktl2hqEmJw6K4VDKOKyPjuLKEtz0Y6DyXkmUbFQrqvPHoenasrseT4SCnOA0pJTvX7OejF3cwZVEZx182rl85zo4mOj0flYGYfu4lfVJYMjIymDKl+90hLS2NvLy8aPlNN93E3XffzdixYxk7dix33303Xq+XK67oCgR2zTXXUFZWxuLFiwG48cYbWbRoET/72c84//zzeeGFF3jzzTd57733+vv5bFJAPC6hcy+4hJnzZ7HswR+gppUy6su3mMZg0kDKSJudRmIGdMbpNvfLrn1SmheaEpuTRJiKTJfG073zbjfQw+074HNG6gZb65j18u19/syWx6JGt8kmGUa3qaRac/Oj277X804pB+x3rguGydJUnJFrM2vLOnwZ2Qlr/8Pnt1G1sZHTvzKF0TO7Rqz0sMGG9/aw9KnNuNI05p0/OmF9DmUMPaKwWEjBS3ik2+9+97v4fD6+8Y1v0NjYyNy5c1myZAkZGRnROrt27UJRuoaZFixYwFNPPcVtt93GD3/4Q0aPHs3TTz/N3LmDJzy7TSzxvZUv+eX3aGoOMPuEaSz74z2k5eQx/auLEyxb4hH1HhTNOq5/iUIIgRHwoe/bZRZ0Jn2TXetd038xiV6i9WT3/Z2LiPJJp1IgjahCGv3DMPdLGakPYHQpEoYR6VN2X0d2HRdT1qyoGGmeiEJrRBLWhZF6GGmEY9Z19lVupl4rYffrr5vJ+Zqb0TQNl8sVUaIlRqSNA/8ShYz9DntAl7AuLRtfRiaGhLAEHYkhQY/s181vkR2nX8ay0+YnTLZEckhFKg52b2pk3JwixszuPtqpagpTTyxn6VObWfFqpa2w9JLOERYrTVX2W2F5++23u20LIbj99tu5/fbbe30MwMUXX8zFF1/cX3FsBjFn/+xpaj9+hYbt61m2cg+jimqYPoBvgPEiDcPS9h7xIrUMGt/bzr53rjELug1QHZwRThy00rl9cCUhRFd5T8vOjLydGXy75gC7vuuY+iK6LaIZfmMF/mvaKKaNzUARpo2KEOaNWBEqQlURwow9IVQVT+EovCKXQCCAEAJFUVBVFU3TorEqOstFZOQu9i+RdLZ5oOJS3+EjsL2S0089FU0RaEJBUwSqMP8cikBTFDRFIT8t8WkbEkXWlnUJa6tgeCbbV9UxcUEJxaO6kqea00L1AIw5ZuhN3SaLTs/HIT3CYmMTT5RbMCOMFs07h6J555A7ZhqfvvhX/vmt8xGKIC3Nw/Rzr6Ro/rkJljUBGGHkUFRYFA/ayHGU3vl0qkXpN1m33srJX/phqsVIGFvrG/hkXx1njh6ealH6RfPYxBkgLbxoDA172nnu5yvIr0gntzQNaUDdrlaa9nUwYlo+J3/R9sTqLcZgt2GxsRkoio49k9OPPRMwRzBadqzh3d/fScX6j5j+5buOcPTAYuhhENZx/UsY4TAMsiB+RwtBXUco9m8Tizvdwee/O5vtq+qoXFtPc70PIQSl47I5/gtjqZiUm9xgiNa1T48LPWx6yg2pKSEbmwNJ9D1BKArpZWMYOWkiqz74hOlfTmz7/cXQw6AMvREWQiHEEFFYhtizhLCud7MDtDFRFMGY2YUH2bEcDUhdEtrbRrjRj1AUtEIPWr4nbiVNj0SLtqeEbIY4iT/BO+p28+aSlUwYU8DW5x+kdO6ZeEtGJbyfuJA6rpZKKp+/C1Bi7CyEuYzYTXTaV/i3txF0FoMiEIpZLhTF3BaRY5SuZbSOqkS8nSL7FQWEYr4BCcXcD6aSEVNPKJHjFMWMkivMY3vcjqm3v7oa2tsJ7duH4zAxkaxOoKWFjh6SRw5GVlTt5h//eQtDD+PNzDryARbk7nvuwt/WZm4UDW4X75eefJwN27ajKQJvjGPJQCKlpP3jGlrerMRo7Z7PyFGcRvZ5o3CNyu5zu2F7hMXmqEAAMrEneUbFeL71t5doWPEa//3Tb1n20stc/cdXEtpHvKSXjqd1zldQDT1iHNnl2WK6eMd4sEgD5dl/IC/+MkhpzhNLA4yIa3Z0vdOTRnZ50PSmPOIFE/XGMbpk6fSekVIipBHxApDRvrs8ciJlus7I+noqr7qaMW8sSeVX3C92ffwx2Y6hcavbUrOPjOxsLj1uAUUZgzMQmr+tjZ/cdU+qxUgIzU1NnHbmmcw4dl7KZGhftpemF7fhnVVI2twSHAUepC4J7m6j9e0q6h5dR+H103FW9E2h6pwSskdYbIY0yZonFopCe0sjLo+bC371l6T0EQ+qw0X5yV/tVV1pGFT/4RnGfPObSZYqMQT31rDrqqtSLUa/cDid5GQNztGIA9EQuBSV0fm5fTpOSp19+15mX+3LtLdvRcowbncZeXknUF52BZqWmtGBwY4uDTQ1tY/RtmV78M4sJPcL47uVeybk4h6bze4fvE/tg59Sfs/xfWrXiIxKDkjesl5iKyw2lifU3sqrt12Drhtk5WRwxo8exuEdnG+XhALRqZtBwSBwKz8SmtOZtGzaA40M+AjUHTopbE/oup/Va75MY+MysrKOoSD/ZITioKN9Gzt2/Jrq6ieYOeMvpKVZZIp1ECENiaql9jEq3BrhpgAybCC07vcWoz0MgOLtu4y6btuw2Nj0GX9TLR6Pk1PvHvzutdLfgdCGhiHrYEFzOgkn0YZFbwnQsbae0N52ZMhAzXLhHpONa0x2wuf/c/ILUPY39umYqurHaW5ewayZfyUnp/vUhd+/l/c/OI4PPzqVkz+3LZGiHhXohoGWYoUl6/Th1P95Pft+vRLvrCIchZEpoeo2Oj6pQc10UnjDjD63a9hGtzZHA4meEvJkZNDhDye0zVQhA+2DSmE5OPdSagnoAdbVr2Nv+16cipMxOWMYmTnysOdcMkdY2t7fTdMrO0CYBo7CoRLc2ULb0moc5enkXz0JNStxSVpdDgfhcN+uhY6O7Xi9o8jOPjhyuNtd0sMRNr3FkBI1xZ507jE5FN4wg9b/7qL1rV3ISJZlJd2BZ3oBmZ8bhprR90jc4YjCYhvd2tjEIKUk6NdRVIGjh1TmWmYhqqax+ck7GHfVjxPSZ6s/xNbaNvwhg6JMFyPz05IboyGC9PsQKX4j6xMWSX5oSIM/r/szj659lNZQa7d9E3Mn8v2532dG4Ywej1UcjqTkBgpsb6Lp39tJX1BK5mnDUdzm7yqlJLizhfrH11P7hzUU/98xCbvpu5waht63TNIF+aewd+8/2LzlDkYMvwGXqwAwp4pqav4FCMrKLk+IfEcbhkz9lBCAszSdvKsmIQ2J0RFCKALh0fp1TzMM48CMrykn9d+0zdCjl9dIXVUrK16tpGrDfoJ+8yacme9mzDFFzDptGC6vI1r3zJ8+yXM3XsSIc+txZuXHLVp1Ywc/ffkz3tiwj7DRdTGWZXv4+omjuXLusKQqLtLvQwwijxWL6Cv87tPf8fCah7ly4pWcP+Z8hmUMI6gHWV23mofXPMyXl3yZp85+ijE5Yw46VmhaXAk5j4R/axNKmoOsc0d1O2eEELhGZuEoTiO4swUZ1BHuxPzmbs2J3scRloKCUxk39kds3fYLqqv/gttdhhAO/P49SBmkpPgixo65LSHyHcgtm6pY0dJuOqAR+Rs5haufNz38Osuhh2Vs+qnoPhlJOhrJvd6Zc6mH4w9VLs1DDygX0XUR9nPZ8qfJCAWiNcQBbXQe0a4W8+cn/8q4tC4lWjfg7EuuIXfU9MN+N8lAKAI1PTF5zYywYTnztcFz57QZUlSu288rv19DZr6HmacNI6vQix422LejhbVvVbNtZS0X33IM7rSI0hL2R1xx458aqm8LcOHvPsChCG47eyLHjMglzaWxq6GDF1bt5rbn11HXGuDbp45L0Kc8GBnoGFQjLFIaljC6fWbTM1w96Wq+M+c70TKvw8sJFScwr3Qexzx5DBe+eCFrv7j2oGOTNcLiLM+g9b9VtL2/h/QFpd1GUcINfsJ1HQAIR+KmDJyaar759pGKii9SXHw+9fVv0d6xDSlDppdQ7vF4vSMTJt+BvFLXzIOThqEKgSIEKsDwPDIMPXpaKTHZ1AWgxOSRMtNCieh3KzDLlEjeKCUmj5RZz1xX6CpXOtvobC9Sl4hMZrtdKah+/tY/mHPDrUwcNuWA/FS9uw7+++gdBDpaEvMFphBdNyw1HQS2wmKTBIQ4suXD+89tpWx8Dmd/YxpqjGX7hHklTD+5gr/+6EOev3cll/3QnHff8M+HGD11Eq6c4rjl+ufKatr8YZZ+9yQKMrrsCkbmp3HCuAK21bfz6/9s4SuLRpHuSs6lIQP+QTXCgmENhSXTlcnOlp2EjBAOxdFtX0276TUzKW9Sj8cmS2FxT8wl/bgyml/aTtu71TiHZyIcKuEGH8HKFtQMF0XfnpZQt1C3qsSlsAA4HNmUlFyYMFl61acimJLhJbfbOW9tDz83kiAKxOmuHAwGcXoHvxu9octkxADtF4PozmkzeDjyWR5oD1ExIaebstJJRo4bgP2726NlmUWl7Kut7JdUmqKgS4k/1LMNQKcnSTJfKmTABw7HkStahT7aSySL/zf7/3Hz2zdzyYuXcPaosxmW2TUl9OK2FxmROYKHT324x2OFw3lQtuNEIIQg+5xReGcU0LGq1vQSCgdQM51knzcG78xCFFdiDTKdqjqoXLQFoBsWmVfsJQ4Fwv34jkOhII70nARKlBoMw7BcEnpbYbFJCZMXlbH85R0ATFhQQnaRFz1kTgmteHUniia45HvHROvnVIxi49uv9avPz88q57EPdnLeA+9xzfwRHDMiB69To6qhgxc+3c36PS3cdvZEvM7kXRYy4EMMIoVFWmSE5aRhJ/Hk2U/yxzV/5NF1j9IeMpXZsvQyrpp4FddNuY4MZ8/Bz4QQBHfvTppszvIMnOUDE3jNpShJUb6ShSS5LwDJwCEEQT3+qedwWEcbIiMsFrj0u2ErLDYJpzda+ZyzRqA5FFa+Xsmat6q77csrS+P8G2eSH/MQ+OzlvzFu7sJ+yZXldfCvbyzgV29s5tH3dvDr/2yJ7ptcmsnvrpzFWVOT6+YZrq0jVN9+5IpWwUKB4ybnTea+k+5DSklrqBWH4sCjeY54nOJ0oJWUDoCEycelaXFPCaUKxSLnT29xKAphPXTkiodAlwJVS9xLSVvNNt78668xUDEQZiaNmCVIWoOQ6RLkZnRdD6LbSsxvEP09RMw+cdD2nl1lQHnCPkcisBUWmyRw5BuUUASzTh/O9M9VsG9nC60NflRNIbckjZwS70GeOls3bGHO13/ab8ny0l3cfeFUfnLeZHY3+aJuzdnexFjWHwkZDCCcg2eEBcMYEHfvviCEINOZ2af6CU5tlTJURVjHdasXSOuZQRwRh6L2a4TFMMK89vAdpmtxpEzEKA2dl5OIKghd6zG+ZtF6Hf4A6W4Xx//PnQghUBQFJZK0tDNjtx7w0VS9EehMW2b6R3X5UEXozBkWzXfWuR5Thum6pbXXUdVqrfhXtsJikxx6eU9VHQqlY7MPW8cI+glLhdqVb1K88KL+ywZoqsLwvLSEtNUXFI8DV0XhgPcbNxYaYYkXqylc/UFVFPRQiH1NTUgp0Q2JbugQWTekjmGYcWsMKTEMA8MwE10a0sAwpFkuDaRhRN7SJZHHFFKK6GMOOj1qelin63vtfBh3vqd3FgoBnv37kDJ5XnfJwKEIQv2w3brg67cTaG0AzJg80aSmZkk06Wi0LJKQNKpkdLpqdyYn3fEOGVVv4XK7D9mn6vKQN3pm3DL3hOeTt1EUf0Lb7C+2wmKTcBL9gDAMSZsfiuael9B2U4Gs24Zo35NqMXqN1PUhobAMnjGJw6MIQeGKd/h9Y415nUXcgU23W6VrPfIGfmAdIRTzzV8o3VyJge4KR+c31m0RefgeUMVc7dqItbE5+bO17Js1npzyssR+EUnEoSiEjPgVFmd6Ds5EGt22b4I9A38GG4ZEUax15dgKi43l2fqv3zBuVO6gil9ySJyZiOzE37yrW6t5u+ptdrbsREpJRUYFiyoWMSqrnwntDGPwjekfwFBSWAAy0tP53vd/mGoxesW1P/kJ+iA7gZyK2i+F5UDq2wLUtQZIc2qU5XjMab2+YIRBGfjw/9I2urWx6Ttr33ufc37wy1SLkRCkIRBp2Qlrz5AG9624jyc2PIEmNEZkjUARCv/e/m9+teJXXDjmQn4474c41PjsZmRnWNBBzFBSWKSUg+rXKHNqpCUwcN5AoKkq7f1Mliml5NkV1Ty8dDtba9ui5VkeBxfNKuOmU8aR5enlNRnsIBXXoCFBsd2abYY6iZwS2vr8AzidKo6s+APGWQkZDCIciTPwfWrjUzy+/nFumn0Tl42/DK/DC0BQD/LCthf4ybKf4NE83Dr31vg60PUhYgMyFD4D6Hp4UE3RuQSoCRod8Pl2U1v3Ku1tmzCMIC53Cbm5x5Gbs8Cc4koQTkWlKRTsVxu/XLKJB9/axllTi7nplLGUZXto9Yf5cPt+/rKskmXb9vOvbyzE00PutINorISmvsegamwPsnJXI3WtAbwujSmlmYwq6H3QPqlLOw6LjU1fCHZ0UDqsFC2t914hVkaGgwhv4ox939v9HgtKF/ClKV/qVu5UnVwy7hJ+suwn/G3j3+JXWIaI0a3lR1giBrLSCCN1888wdHPb0DHCOtLQaWtpRklxduC+IEmMV9POnQ+xfcd9CKGRnj4RVXHR1LyCXbseIStrFlOn/h6XM/4cY7Fo/ZwSag+E+cM727nx5LEHpflYNK6A82eUcfr9S/nOP1bzwBWzjtxgegEUTel1/x3BMHe+tIFnP6nuli8N4JjhOdzz+amMKTxy3CDDkCh28kObIU8Cn28TL7mRp//3AmYH2lBc1g7p3RtkKLEjLONyxvH3jX/nk5pPOKb4mG77NjVsAszgavEipSRYVUX1/37THB+OGHRKvx8lM4Oyn/2sX/IfjsdefoOOUBjDMFPeGYbpQWFIiZRgELstMSRUOd00qRrjO1rRkYQR6IZk7YSZvPH6u+iAjjncHV0HdGkuZcjHlVv+i9s4VByOzsR7PZf25tQ/1COgK5dOTB6dSL6bznXdHyBbNvaiF4ugaYTD8cc0Aaivf4tt23/B8OFfZ+SIb6Cq5iiilJLGpg9Zvfp/WLXqauYe+0pCRgOdqkqoH9F5jcg56T3E6IknMkXWEeylUqQHQe39PePGpz7lg6313HLGBM6aVkJJppvWQJhl2/bzqyWbuPQPH7Lk24vIS3cdth3D6F1MrYHEVlhsEo5IoMYiHC5mnnUBL33vKs75+dMojsNfZFZHBkMIZ+I+w1emfYVVtau47vXrmJo/lQm5E1CEwpbGLayqXcW4nHH84dQ/xN2+Z+pUCm68EcIhM+qtNKPfti5ZQujjjxP2OXriL61Bvl2Sg1AU1IhHi6KYXi5KxNtFUVSEMN19URTagbBQKNJUHKoZr8KhCEKahup241BVHIpAFQoOVcGhmEtNKGiK4Ef/eYZTv/hNKvKt6dWy+5O3+Md996ZajN6jqhj9iGkC0Ni4DLe7jDGj/69buRCC3Jz5uN2ltLdvpvcq4+FxqA5C/QjOl+F2cPW84dzz2kZ27m/n7KmllGa7aYsoDY+8u53heV5+c3kv3ZDDAeilDdr+tgBvbNjHzy+exheOqYiWZ3kcnDGlmGNG5HDMXW/ytb+s4B9fX3DYtqQhLRel2FZYbBKOEXF9/MuDv42UHPC2EpMSPqYwupCxZZGNRlHI24/+CNXhJDrA39NQczS7KnRFb4xdckBZ17arYx9z06rM1wqhdi0VxVxXOssj+5TOOrHrqrmuqF11FQUUzdy/bxNi/OS+f6mHIM2Rxp9O/xNv7HqDNyvfZG39WgxpUJFRwR0L7uCcUefEbXALoDid5F37xW5ltffeS+Czzyi+687+in9YcsNhzjnh8DfVRKMbYVQLT7mk5+QwZfTgCfseEirN/kC/2sjImMKuqkeprv4rZWWXd7NXaW/fjt9fQyKHdR2qRkj2z+j2R+dOpjzHyyPvbufvH1dFy52awjlTS7j1rIm9T7CqB3utsHidGm6HwprqJi6ZXX7QiNO63c0AzBmZe8S2TLfm3ok4UNgKi03CEQ4HAph+zJzu5g/REI/d4jkCpp2E6FYvNjoEaMfNJc0lQMaEg+xWD6IRGyXRiI1SGhGlx4jZ3xnRsfMYM+Ljy6+/ydyZZ4DUzaR/Ujf3GeHIUjf/ZOw+3Rw7lToYITB8kfYi+zrXI/Vle0NCs/eCadR4xogzOGPEGQlt91BsfupZFn/3J3j9Gjz5PGDaKiT6Zay4NwaJCcYI+dHc1rWXEpoLmUCX22ST5XbhC/bPgLWo6Fyamj9h0+YfsbPy92RlzURRXPh8lTQ3r8LjqWDG9D8nzPDWoWr9mhICMyLxVxaN4n+OG8mO/e3UtgRIc6mMLczonaFtLHoQ1N6NynqcKt8/ayI/emE9n1Y1ceaUEsqyPbT4Qyzbtp/X1tdw4vgC/u+08Udsy9BT4k19WGyFxSbhROJfMm3uvBRL0jcy33oDjv1KUvuQK69CeAdvJtf6fbVkt7Xw0KLZVIzpZ4wXCxJW3Sh9sBeIxR/S+dtHu3h13V621rYRNiTlOV5OGl/AdQtHUpDR/6lARXOaU3ODBE1VCYb7NyUkhGDC+J9QUnwRNftepL19s+kl5Cph4oQvUFR0Lqp66CiwfUVTNUIJSn+gKILRBemM7oN3zkGEg+D09rr6NfNHMLYwgz++u53fv72NtkAYTRFMKs3kJ+dP4fI5Fb2KBWOPsNgcFQxeN9jkyy1DYXAOTN6iZLDnk5U4DIPSUSNSLUpS0BGocfgUNftCXP7wh2ze18rnJhTyP8eNRFMVttW28ZcPK3lqeRV/+8pcJhT3b/RGOJwYCR5hkYakqbYDX2sIp0clpygN1ZGYJ5WqaQT6qbB0kpU1g6ysGQlp63A4NQdBK+VrMoKg9e0lZ/7oPOaPzkNKSSBs4FCVPgesM3RT4bIStsJiYxNhIJxfZTiMcCXubXCgmXLmabx7dwFMmszEjZ+lWpyEYwg1LoXl0Xe3s6uhgxf/9zgmlXZXSr535gRm3/UmZ9z/LjvvObtf8gmHO2EjLIZusOqNXaz+bzW+lq5pG82pMH5eCfPOH4U7rX+JOjVVJRQePFNYAJrqIGylQSxdN23g4kAIgTvOwH2GAZrF3q1shcUm4QzeEZbkI8PhhLo1DzTvv/w6hfvr2HLVtUxMoRx+/97o1IDbXUpa2niUOG/qsehCoMZhcFnd6GNYrpeJJQfHtziS+2hfUFRXwhSWt57cyKaP9jH5+FJGzSggPcdFoCNM1WcNrP5PFTXbmrnke8f0a7QlEVNCA41DcyRsSighSN003h9gDMN6kW77JM7vf/97pk2bRmZmJpmZmcyfP59XX301un/fvn1ce+21lJaW4vV6OeOMM9iyZcth23zssceiSbpi//x+a2WJtOk9tr5yGMI6wjn4RlgCfj9/u/p/yP/OzQQe/D3nfP87KZGjtXUDn6y4lPc/OI5PV3+JNWuv5+Pl5/H+Bwupqnq8W+K9eAgLFZW+KwTnTi9lw94W/u/ZNWyva4vKUd8W4IH/bkFVBN/83Jh+yQagupwkYsCivTnAxmU1LLpsHCdcPp6KibnkFKdRPCqLOWeP5PybZrJ/dxvvPrO5X/1omkqwn27NA41DcxK2kL6CTE1AFHNKaMC7PSx9eiUpLy/nnnvuYcwY88J7/PHHOf/881m1ahWTJk3iggsuwOFw8MILL5CZmcm9997LKaecwoYNG0hLO3R0z8zMTDZt2tStzH2YVNo2Nv3BCIeo3/wxSB2BRMFUsoIDMAw82KaEgmGdF39xP5Mf/yNFxaWUrVxJpteTElk6OnawYuWleDzDmDz5frIyZ6GoLnwdO9m79zk2b/kJYb2NkSNuiLsPAXGNYJw0oZBfXDyNu17+jOdWVpPh0tBUQWNHCIcq+PJxI7nx5LFxy9WJ5nCi99ODBbpGQfVQz59Vj+TSUbX+PbE0VSMYGlxTQh1hwfpWhRd/+z0g4mQYk6W6SyeW3dajdBb+f/bOOj6OMn3g35H1JBt3a9I0bVJ3L6UCRYu7y90BBwd3HHLAwXHI/eDQw47DnQLFKd6WuqZNNW2SWtxtszYzvz92YzRtIxsr+/180p19Z+Z9n9nuzvvM8z5ScxAskSAbfn1Eq2Np13Wu9bHJDYdI2rsJdfV7NIZmoumb5tLWUZeeP00Q0ATR814QPduCSHlFJUHWEPQGo6eStyg1/yGICKKMIHrSMwiCiCDJOBvC0YI77uzbG3RKYTn99NPbvH/ooYd44YUXWLNmDTqdjjVr1rBt2zYyMz15Jp5//nkiIyN57733uPbaa4/YryAIREcfH7Vi/PR/SnauYvFnX5AWY0VDQNU8YbnD0occ++RuorkVnyaO62kO7s3DlbWZlM2bGWbqW0WrsHARomhi/LhFzdlOAQz6cIKDx1NesZS8vCdITrqhy8uSO4VgRKlrS0vnjU/gtJGxrMotbxUlZGLa4HDCfbQsJIiiTzytzEF6hs+MY8VHeyg/WMegpiWhBjcHd1WSvayAyOQgpp7TPauQXpapH2AWFhs6LKYwZp97nWcyFwTvqyfTs0c/aGpvL9eT4DlWdR/ue3LY9/IoxSybjvU6WdurChFrSlpSM3jPb85rpSkITSkb2qRT0JCjazHodUiC0Fz2AU1Fa1X+AVVFUxxoqoqqKtjdUdgE35UR8QVdXvRVFIVFixbR0NDAlClTcDg8yYFaW0YkSUKv17NixYqjKiz19fUkJSWhKAqjR4/mwQcfZMyYo2cBdDgczWMC1NbWdvVS/PgYtfkHpPVLfxZVcZMRH8IJV/6tw+fU2l18vPEQq3IrKK1zYNKJZMRYOXtsHMPjOp7IS1PcoBs4FhZZr8MYH4+hj5UVAEkyo6oOnM4qTKa2T36apqBp3UsBD5DirsDQjSU7k15izrAo5gyL6rYsR8RHyxUzLxxCSIyZLT8eZNea4uZ2g0Vm+IxYJpw2qPsWFlnCNcB8WAyShCjrCYxJ7WtR2mAIDAU6XlOoNRFdOEddsxTROIAtLADZ2dlMmTIFu91OQEAAixcvJiMjA5fLRVJSEnfddRcvvfQSFouFJ554guLiYoqKio7Y39ChQ3n99dcZMWIEtbW1PP3000ybNo0tW7aQlnZkE+ojjzzCAw880Fnx/fQCvsgUqqkati1l2DaV4CpsQHMqSEF6DKnBBEyPQxfZ9R+SpiidWpvNPlTDVa+vp6bRycRBoQyNCqTe6ebr7CJeXZnPH05I5a8npXdIOdPcKoKhb5ZUuoJer0foZi0YXxEXdzGFRR+xbv1pxMZe0JJAzLaPouLFuFzVDM98pntKsg8cd3scHz0DCKLAyNkJjDghnoZqJ411TvQmicAwk8/CWfWSjGuALQnpJQl3/y+X2eOoqtZthdXXdPrXmZ6eTlZWFtXV1Xz88cdcccUVLFu2jIyMDD7++GOuueYaQkNDkSSJuXPnsmDBgqP2N3nyZCZPbkkwNm3aNMaOHcuzzz7LM888c8Tz7rrrLm677bbm97W1tSQkJBzxeD8DB03VqHh7J/YdFRgGBxMwNRbBIKFU2WncVkHDxhLCLh6KKbNr1VlVVelwVkxN07jl/c3EBhv54o/TiLG2KBuKqvHf5Xn8a8kuEkPNXDQx8dj9OR3Yl32GEBDsTeXvMfPjNTsjCAiiQI0mUBKQhCDLiILYpoaOKIqIore2jiQiISCI3nZvm+ituyMJAoIkIUoSsiwjyhKSKLYas+WvvYle1uk8uWP6AXp9KBPGf0L+vv9QVPQJBw68DIAg6AgJmczYse8REjyhj6UceAiCQECIgYAQ3y9V6iQJd2P3UvP3NgZJ7F9Ot32EdjwoLHq9vtnpdvz48axfv56nn36al156iXHjxpGVlUVNTQ1Op5OIiAgmTZrE+PHjj9FrC6IoMmHChGNGFxkMBgyGgeML8Juki7XIGreVY99RQdjlGZgywtrssy4YROl/sqh4ayex909BNHb+iVhTFc+E3RFZXAp55Q3837kj2ygr4Em//buZKfxryS7+/tn2DikswRdejD1rnXfpWQM0vE40nvfe0gIrG0UUazIGvcmztozWXHwQVUXzVihGa9vmKQmgtepLRVA1UFQE1Y2gKAiq2jyO4JVBOEJ0jcvpRG2wMWLFtrafofe1QVHYOjWTQF3vWCb0+lDSh9zHkLR7cbkqUVUnen0YojhwQ8U7S/9bZD0yep0O9wDLw2KQJfqHit63qApIcv/Kzd/tu4ymaW18SQCsVs+a/p49e9iwYQMPPtjxImmappGVlcWIESO6K5qfPqK7fitKtQNBJ2IYHHx437KIFGLAVdyAanN3UWFROyyjWS8zJjGYZ3/aQ2qEhbGJIc3nVtuc/GvJLgBev7pjT/YB5/+RgPOPfdyq7z7gr+OmEhnWP6yG5x2hfdLqHVS4lF5TWJoQBAG9PuzYB/rpUwySwPayIu74+QskVCQ0RDTPtuaJ0AvAjUSrKJxfvXoQjrjv8POELu1rwq2ByzVwy2f4Ck3VkLuYdK6n6NRd5u6772bBggUkJCRQV1fH+++/z9KlS1myZAkAixYtIiIigsTERLKzs7nllltYuHAh8+fPb+7j8ssvJy4ujkceeQSABx54gMmTJ5OWlkZtbS3PPPMMWVlZPPfccz68TD8DCVNmGLXf76f8te1YT05GnxCIIAqodje2rWU48mswZoQhh3bNOVLTOr4kBPDsRWP43VsbOeeF1cQFm4gLMdHgcJNTUockCvzrnBFMTe3a8tSRcCgKBlOwT/vsCfSiQO0Ae4Ie6PggqrnXiMHO9ZU/Myj5bhQBVEQUBBTAjYBDE2hsdT3CEV7b3SfgsRQKhxfePOp5rfcJh7epqkrEZ+8D8zpyicctmtr9sHZf0ymFpaSkhMsuu4yioiKsVisjR45kyZIlzJvn+Y8tKiritttuo6SkhJiYGC6//HLuvffeNn0cOHAAsZU5vrq6muuvv57i4mKsVitjxoxh+fLlTJw40QeX56cv6eKKEHKYifCrhlP5cQ5lL2wBWUDUS6g2j6HWNDqCkIVdD7f0ON12/IcYH2Lm85ums3xPGWtyKyiptWPSy1w4IYEFI2J8FrLaGqfLia4TBc/6Cr0oUOLsH065vwXsxXuxOweOxiI5KjEHxxE7aFxfi9JhNE1ju/ut3hvPrdKwvpjG7HJcpTZQNaQQI8b0EAKmxiIF9M1yp6aB3MuW02PRKWleeeWVo+6/+eabufnmm496zNKlS9u8f/LJJ3nyySc7I4affo4vQpkNKVai/zwe575anEX1aC4VKVCPIcWKHNK9EFtV67wiJYkCs9MjmZ0e2a2xO4pL0qPvb2km28EqS+TaHL/xZ9Hew9VQQ0RkcF+L0WGEij2o5Xl9LUan6M1UDKrdTdn/snEV1mMcEkrA5BiQRNxlNupXFtKwtpiI60agi+79fCiaysBeEvLjpzcRRAFDihVDSsfznHQEDQ2hn1Uh/TVuUYfUv0UEwCyKyP0w187xiuJ0IfczM/3REIITIbKhr8Xot9T9UoC71EbkjWPQxwW02afUOyn651pKntpE/KMzel84zZNHpz8xcL75fvz4iM443fYlfhn9/Bq3y4ksDZzbtuJ2I8n+5+IjoVTZkcNM6GIPt6D01VIQeCp5ownoDP3r/27gfPP9DDz6U8XTVngUFv9X3xcIgNJP/5+7Qn9Xv5yNjQMqpZnb5e53obH9CdPICFxFDVR9tAd3RWNzu9LgonbpQRAh8IT4XpdL8Sai0fczhaV/SePnuKC/P3Rrqtopp1s/R0bAZ5ni/XQAnUE/oKxaitvlt7AcBdPQUELOSaP6q3xsG0sQTDKCJKDWu0AUCJgSS9C8pF6Xq6kopt+Hxc9xi9upsGdjMXs3lvW1KEdF1QbGklB/paCqmt1FRcxKT0MAVL/K0msYzAE4nQMnrZnidiN3Q2HRNI288gb2lNTjVlXiQ8xkxgahG0DLYsfCMiEa06gIHHuqcZXZQNGQQgwY00KQAvtmWcjtVVhEuX/dJ/0Ki58uoSoqpQfqKNxbidGix2I1snzRDmqL+3+Ia28tCe05tAu7y46nemtTrohW20JLZghPmzdFPgLObi5OKIqD0tKvqKxcid1RhCQasASkEx11BoGBGV3ud8ehAi7dsJPxssbfdx9kX1AYg0WVikYrBknCIEn9YjLRNE8iMkXVUBU3qqp6txUURUXVVFRFQdU0VEVF8W4rioJz51pPpV3FDW63p+Kt4vYUrvRWtxWathW351hVAUWB5sq3SnMfrgP7EaMiqdXcYDY292Oq3o7dGIci6hC8fWia0ryNqnir7SoI3m3V3kBevoGDf74BVVXRVBVN876qavO1o3mcy/F+Dj25PGt2lWENMtDegprd4Wb62ed0qd+1eRX8/fPt7Cqua9MeHqDnljlpXDo5qecePJTevY+JeglTZhgm+kcyRMXdZGHp+99ya/wKi59OU1veyCdPraOhXAFBA807Fcsa86/LICo5mJoyG2I/mLjaQ9PUXokSuiZrJ6eZXYdn5fROIlq7bZ5FlrndcLiz2faRteUaGhv3ExQ4ApM5CUVppLj4Uw4ceJnEhGsYPPiuDt/sr/l8CalGPeNio/hpfwENyLx4yiwUTeCLbdt5d9dOrt21C5cg4hIEVIQ2a0WCJy6r3b6FDlpnms5vErn1/CsI4Kqvx+p0ozcYm48VvVuiN6Oq6G0TERDwtglCS5sAU2x7cW18yVvX6dd/Ep6qmZLnveh51QQRQZRa9guSZ58oAQLu8hIUu43K3FxCzjgDQW8BSUaTnEgBCYh6C4IogygjSDqQZARJ9ryKOk+brEMQJQRJx6lnyAj6QCRZQpRlZFmHqJORJBlRlr11p0SPEixKbd73BEUPjiX67nUemX3E1kPVXPrKWkYnBPPKFeMZlRCMThLJLavng3UHufez7TjcKtfOSPHZmG2QdD3T7wChaUlI8i8J+RnI5G4u4btXtyEZBE6/ZRRxaSEobhV7vYuAUGNzldegsP5bkVhTVcQetrCoikKK5OKvJ3YgD7+P2bHzrwBMnrQEi6UlwZ6mKRw8+Dp79j6MwRhDYsJVHepvuyozNTCQj/YXYdLgUjOIooQInD1qBGeP6vsyGsvvu4uY0WNJO3thN3s6C7jHBxK1YAFqdmzH9o8HGH723d3ur98ljdc0nyorAO+vP0hssIl3r5vcxmI3NjGEsYkhfLDhIP/8amfPKSz9ayWk1/FbWPwMWGrKbXz72hbK8xvRVIhIMXPGjeMxWjxPIZIsou9CTZ++QtO0Hne6dSpOdH3k21Fbu4XBqX9to6wACIJEQsLV7Nn7MHv2/LPDCkug6uKaKRO4pieE9RGyTo+rsfHYB/YRcmgoQj+Wr1v0wOQeaJSpbXRRXu84rOio0zuZ9igd/OmWlZWxceNGGhoasFgsqKra/Kdp2mGvmtc0+Ovt5mE1DbeiEJCcQnBElMeQ511CFkWPbVAQBEQB72ur94geAx8CsiggCyKSKCAJApIAkiAiiSKyAFJTJfdWf0DzdqPNDvh9WPwMQHatKaAst+VmW1/lwGAauF8dVVWRejjltMvpQN9Hv/WQ4EkcOPgaQdbRBFtbUqIrSiP79j0PQEbGvzvRY/+6abWHzmDAZe+/CoFsNqO5B46zbKfoAb38mmmD+HJLESc/9QvnjYtvsyT08aZD6CWRV64c7/uBO0BeXh5r1qyhoKAAWZYJDw/3FuPUI4oioigie5fmfv0HtKsktG7/bu16XMJBTJU1zRXdPQoOrbablB1A87q9e/2Wmo7VNA2Vpm3VW6C95XxN8y7XNlVtb6rNpGmYag3EEDmwawn5+W0y4ZTBJGdG8dWLWTTWuDFbdV2uE9Qf0HohSsjpdqLrow9o2LB/sTX7d2zceD4mUyImk8eHpb5+J6pqJzXlz8REL+x4hwPgP1o2GPu3hcVsBtdxqrD0AJFBRj6/aRr/+Xkvn28p5H8r8gGw6CVmDong2YvGkBnr2wzYrWmtg6mqSnZ2Nhs2bKC8vByLxcLw4cNZuHAhZrNv632pqspHG7fwr4vPR+rD1AsHd1by+e4sxH6WbtuvsPg5JqIoEDUoCIfNBQiMPzm12VdlIKJpGkIP3wxcbmefWViMxhgmjF9MRcUyKipX4HAUo9OFEB42m6ioUzCZEjvX4QCIWtYZjNgb6o59YB8hyToGxAfZFXroex4WYODvp2fy99MzqbW7cCsawSZdr9x7FFVgxYoVZGdnU1tbS2hoKGPHjmXUqFHdCtM+FusPFGAOC+tTZQVA9ZYE72/3eb/C4qfDjF+QwrrP8ynYvBu5IRdbvedLbQ74lXnzWNaLdvYfXiCew26E7VlF2rWUNNeMb1+OqpIazEk96xTsdDvpy+VfQZAIDz+R8PAT+06IXkRnMuGuKvdZf4X1hby36z3WFq2lrLEMo2QkPTSd01NP58SEE7tmoTtO9ZXeIMjY81E7zoYacld/wa7t2RS7TJCfz4knnsiQIUN6LW/Tsq3ZjM3oetoBX6F6/YT6W801v8Lip8MkDQ9jw+e72L4adq2uwy2GAxAckIM1vPqo9+PmfZ3JB6Ed6R7fmT4OP9ZddIB0sWdnD00QKFX7V0hg1+n/M60+IJB927YweM1qYiZP6VZfqwpX8aef/4RRMjIrYRazA2bT6GpkY8lG/vTzn1iQvIBHZz7a6Ugzua5nLECaplFf5cBW40RnkLBGmZD6aUqB/oatooCclV+Ss3cviqKSmhzPnHOv5ay4tD6Rp6zgEDefMr9Pxm5Nk4XF78PiZ8ASmRjE1U/O4/snV1BfJVDhvf9OPOtk0qYl96lsnaHq8VuR9T371TcbAwnS+n8SvY4hoPbzcgaJZy4kOWcHe775olsKi6Zp3LfyPkZHjObJ2U9i0bUtSrckfwm3L7+d+MB4bh57c6f6dgcGHPugTqCpGtt/KWDz9weoLbc3t+sMEkMmRTP5jBSMAb/tfCLtUXNwB7tWfUPugSJ0ksCQtMGcfuWtmEJj+1SuA5VVCEYTxn5QykDrhUCsrtD3n4yfAYXBJHPa3ScAsH7RNtb9WMKgCQl9K1RnUVWQetb6MZCdkn+NLIDT7cao77vqscdCkmXiR4wmb+XybvXjUByU2Eq4fuT1hykrAHMS5wDwxvY3Oq2w+JpVn+wl64eDDJkUxfTzhxAYasDZ6ObQ7mq2/nSQwpwqzrtrAjrD8WLp6xqaqlKycxW71y/lYEklAWY9QzNGct7p16EzB/W1eM0sydpKWtqQvhYDaAm19vuw+Dku0DQNY4QVKKW+ykFwlG+95XsUTevxNWlVVRHV4yMqRI9Go8vVrxUWAL3Zgtvp6FYfRtnIjLgZPLv5WSw6C3OT5mKQDJ6aNjV5PLHxCQA+OO2DTvftiRr1zXfPaXez5adDTDozhfELktvsi00LYfC4SN57YC0/vrGDk6/v+8R+vY3icnJg/Tfs2rqeshobUcEBpI+ZwvRL53odoPsfebm5/PHC3k802R6ad0nI78PiZ8DTWO/ku2fWcuiAi8gwjaCI/pvVtl1U1ZNavQfRVLcnXftxgAw0ulz9L8Pqr9BbLLidzm7388iMR7hn5T3c+cud6FbqiDBFYHPbqHZUE24K57k5zzE4ZPCxO/o1oojidCAbjN2WsbnswRHmk+b2HnY/0jrjk9bDuOqryFvzBbt2bKPWrpAUHca4E04nYsiEHo8K7C4NdgduVSPOx8uGXUX1/r/2txqxfoXFzzFxOxXyssrQG2U2fJBFSYWIgMqYGRFMuWhkv9PCj4Wmqt6aMD04higzEJxVO4IecLi6549TnFfDjhWFlO6vw2l3YwrUEzvYyvBZcVgjfGOd01utuHygsFgNVp498Vlyq3NZV7yOMlsZRtlIekg6k2MnY5AMXeq3tqYaW3k5QXHx3ZZRb5IZOTueNZ/mUV1sI3VcJAEhRpx2N4U5VWT9eJCQaDNzruzZiBNPwcW++/1XVBbx/e51/FxQQ2ZeDpMGRTDr7GsJju+5pRWl3knjljKcBfVoDgUxUI9hUBCmjHCELqay/zZ7O5FJyb4VtBs066H97NbuV1j8HJO1H2wla2UVADpRZdaFQ0gZG405qH8vERwRTYMejqLQVKXXQiF7GlmAxm4kPVv7eR4bvt6HNcJE/NAQDBYdDdUOdq8tJntpAXOvymDwuMhuy6mzBuPupmLVmtTgVFKDU33WnzU2Dnwo37RzBhMUbiLr+wPsWlPc3C7rRYZMjGbKwtQe91/pjSSMvxqQ/IJdLMndxkobBIgwLzyY5AAzcbOHM2nC2B4d3ra5lKpP9qCpGrrYAESTjCuvhoY1RUgh+wi7LAN9bOetJFt37eLUOXN8JqemqVRXr6OmZhMuVzWyHEiQdQwhwZMRxYE77Q9cyf30KI31Tj59cDmVNS0T+6UPTsYUoEc/gNPyA5TVauz+cDHKL9918AxvtVvRU5W3uRJuUx0PT2EPb00PEUEUqJB1LB1xFtd++g2i0FQV2PPAIjbX/vD2gebJQyN4Kgp7R0TwFj0W8Kbtbv0KeAxbnn6bz20ap9VxbocdR0M91oio5rFEb+ee7bYyiQie4sTe40pVgUaHna5Qur+WDV/vY9IZKYw7OamNNc7tVPjq+a18+/I2olOmEhDSvaUSQ3Awbnc/jszS63HXN/isO0EUGDk7nhEnxFFXYcdW50SnlwiOMvdaOGqTr0NPoipuNu/dwJKD+9jq0pEkq5wcG8vVQ8Zj0HmsXY8t+RGDrmd9U1xlNioX7cY8KpLg01MQzS3juUptVLy1g9JnNhP34FSETlQ5VlWV+ro6xsd0X2kHqG/Yw/Ztt1DfsBtZDkKvD8fprMSd/xRm8yAyM58iKHC4T8bqbQb2zOOnR6gorOfzx9djs7Xc9M756zifme77GrsYRObCK0m9+NJjH6yqoDjR3HY0p93z6nZ6anMoCprq+VMVBVQFTVVRFTeqopBhiMBltKKoKqqqoWoqiqqiaBqa6imIpjbV9cBj+FE1DQ0N1VscRG2qC+KtAaI0t9NSIwTP+WrzcbQ5zykKNKoKFp0ODRVVEzx9qJ7zFFXD7e1fpW0NElWD5PwdGBNDYNCgTn/WVcU2AIbPjDts6VDWS8QNCebQriqK9taQNqF7CotoNHqXKPopej1uW73PuxUEgaBwE0Hhve9Lpmk9syTU2FDFil1r+LasikOagTFGjVNThnF38oh2/VHciht9D4cDO/fVggrBZw1G1LdVSHSRZkzDw6n7+SD2vdWYhoV1uN8N+w5gDI/0iaVKURxsyboaSbYwbuwHWK3jEAQBTdOordvK7t33sXHjhcyYvhpZDuz2eL2NX2Hx04baikY++MdaZFEhOs5McYGTURMCiE7pubodvY6mddybTBRBNCLojAidnA+Ol9iM95Z+jk7p2pJQfHoIskFiycvZzLhgCGFec7mmahTkVLFjZRFB4UZSfbAk5Lnh91+/IcFgQGmw9bUYPsUT9eSbvipK9/JDThY/1rqwi3pmBBn447iZJEUc2+fH7VYw6nvWwqKL90zwtUv2YV2Q3MaKotQ6sO+qBMAwqHP3yuXbtjN2aLpPZKyv347dUcj4EZ9gDRrV3C4IAtagUaSn/4MNG85mz56HGTbskSN31E9Xs/0Ki582rH9/CxoClgCJjBlxnD0rudd9MRyKg18O/cL2iu3UOesINYYyJnIMk2ImdTq7aHsIvRDWfFwhiKhK1ywXlmADp904kh9e28H7/1iHKUiP0SzTUOPE2egmMimQk64b3u/yPfQEosGA2+a7JSFfUdvYyMZ9B1BUFbfmtQaqGm6vNVDxtimaiqJ6rH5N2063i4iQoejXfeU5zmsF1Jq2EVA1UJoseN79qtdKqKBR7VLJc4FFp2duRAT/GjuOEHPn/EAUtxtjD1dg18dYCD4jleov82jYVIohKRDRJOOuceA8UIdolIj4/UhEY+fkKC0o4IYFJ/lERqMpEUHQUVS4iMCADESxRYnTNIWSki8AiO5M8dN+hF9h8dOGyZeOofzfaykvdfPT+/lkfZPLRf+a22vjry9ez52/3EmprZRoSzRWvZWyxjJe2PICQ0KG8Pisxxlk7fzSRBu04ymtW88jigKaqnT5/LghIVz6jykc2FlJ6f5aXI0KpiAdManBxAy2+lh57L//r4LR2C8tLO9v2sLHJdVkGCREQUBq5XMlCQKS6PFr8vg5ed5LTduSDufw89BLenRNbV5fria/KE8/IqIoetvFlmNEgWCjmfiYIei7kcxRcbsx6Xo+CCBgaizG9BAaNpXiKqjHXeNACtATfGoK5jGRiJ307yusqkYzGDH7SNky6MNJH3I/u3Puo7ziZ8JCZ3p8WFyVVFauxG4/xODBdxESMumo/TicngeU/vYg4VdY/LRB1ktUlDppcv+srBFZ/dYmDFYTqVOSetSPpbyxnJt+vIkR4SN4ef7LpFhTAI/ZOassi3tW3MPl31zOT+f/hE7spvm3n/0Q+zWC6PHR6QaSTmTQyHAGjQz3kVADD8FgQGnsfwqLXpI40Wrijjmz+lqULqMo7l5LaS+HmbDOS/JJX0uyt5M6uAs5fY5CXNyFWK1jOFTwLrU1m3G6KtHprISGTiMu9kKCgo6+WF1XaWf/nipUvYjYz2pS+RUWP23QGyWGjwvi4I4K3IrHWWvLqgoUTWLfuoOc/c+eK8y1oXgDNreNR2c+SripZWITBIExkWO4IP0CHtvwGF/mfslZaWd1eRytycPVT4fwWFj6sTPrAEE0GlFsjX0txmEYJAlHF5f8+guqomDqYR+WnmDPnr38/uyFPu83ICCdoekPdOqcwtxqvvsyj/qd1QCEjgz1uVzdxa+w+GmDIAjMvG5im7ZNX+Sw+qtDNDh1/PK/dQQnhjHshGRkvW9zPKQEeywq7+58lxtH34jUKlNso7uRlYUrAZgcM7l7Awl9t3BQU2Zj78ZSKgoaUNwqASEGEoaFkpgZ1u/Mr00IgoTSTQuLHxB1Mqqj/yksRp2MY4ArpGJVJRajDzII9yJOtxuX00FSSN8FNGiqRsHeapZ8thdHbh1aqJ4pFw9h+PgoDOb+pwD6FRY/xyTjxEGU7ymhZH89uVvs2NbXsvmrPUy7dCQp42N85oMwJGQIt4y9hac3Pc1XeV8xMWYiVr2V0sZSVheuxuay8cQJTxATENO9gfogmETTNDZ8vY/1X+Yj6yXCEwKQ9RL7sivY+tMhIpMCOeUPI7EEdy2Lak8idNOHxY+HhpWrCDu/f9SKcVUX05CzEkVREcsbsNPN31Qf4zYYCDINLIXlx117CI2N6/VxG6odbFlXTM7uCury6hAbFYgwcMI1GWSMi+rXmcv9CoufY2K06Jh/24zm92UHavnl5XUseWUXUZ9u56S/zCCwm0m/mrh2xLVMjZ3KJ3s+YVv5NhpcDYQYQzg77WzOG3Ie8YHdT2uueXOZ9Cb7sytY90U+409NZtxJSW2sU0W5NXz+1GY+eXwjlz44pd9FMAmC6F8S8gFiSAhBw4b1ydiaqlLy/YsIWz8AZwNKYx22kExcDgem4GiCk0/sE7l8haZ5HIQHEut27mL2mNG9Oubm1YWseGsXCAJyrInB02IYMTycuCEh/VpRacKvsPjpNBGJQZz1jzmsfH8nW5YVs+P7vUw633eZEzPCMsgI68EaKH3wuyzIqSIg1MCk01MO2xeTaiUwzEhVsa1TKWJ6C0EUUAeIwtLQ2MDKh+4HWgrzNb0GaQWkhbUoqlrTF+FYhVOafZ605m1Na8rcp3j+VBU01fteRWje9h6DSrJ+P0pVka8v+ZgcevvPyHuXgCChu+RNLDFp6M3mFsX4wA7W78nudbl+6xwqLGL6OWf26phrfz6IqML5fxtPRMJxnjjuhRde4IUXXmDfvn0AZGZmct9997FgwQIASkpKuOOOO/juu++orq5m5syZPPvss6SlpR21348//ph7772X3NxcUlNTeeihhzjrrK47VfrpeQRBIGflAUDPyAU9V2jseCFqkJWsHw6y5ceDjDghro33fUVhPXVVDiSd2C+DcgdSEPjsy6/FWVfXXCoBmsoUCKz/YR1DRp/efKxwRCOb1nZbFL0fgOdVEAVPtW9BQJAkEGXvnwiSDILsaZfkln2STO13/4dr13scLFvjVW5UNE1Fby9HdtXQaIxFUN2gukFxeV5b/QmaG1TFc4zmRlAVhCaFSVOPUDlZI17Jo/y09wgff0q7V2uQdTh9oI9qmkJFxTIqq1bhcJQgigYCAoYSFXkKRmNs9wc4jsguKkYMCETs5SrS512ZyXvPbOa9xzeSMTuemSclD6hSK52SND4+nkcffZTB3jCsN954gzPPPJPNmzeTkZHBwoUL0el0fPbZZwQFBfHEE08wd+5cduzYgcViabfP1atXc8EFF/Dggw9y1llnsXjxYs4//3xWrFjBpElHjxX307fMuDiT79/YzYYPtzDjmgl9LU6/JnVsBKNOTGDFoj1s+nY/UYOCkHUiNWWNlO6vIzjKzGk3jeqXZllBA63/idUuqWeefcR929d8iOmMG3tRmrYEBARRn/0tIIK3LhWCiOQKR1Ad6AMSEGQdyHoESY+oM4CkQ5T1CDpDc5sg6xBkA6LeiCjrEXVGBFmHKIkIgtjukuLRgskbkHlZSqNzMSVtsdsL2bL1d9TX78BkTMRkSkBRbJSWfkNu7uMMTv0riYlXd2OE44vvs7KZM6r3c2GHxQZw6o3pvPv8L+xa4mLvD/nMujidYVMTe12WrtApheX0009v8/6hhx7ihRdeYM2aNeh0OtasWcO2bdvIzMwE4PnnnycyMpL33nuPa6+9tt0+n3rqKebNm8ddd90FwF133cWyZct46qmneO+997pyTX56idRJcaz7ZBdFuyv6WpROIvR6WLMgCEw/P430ydHsWV9CRWE9zkY3IdEWRs6OZ/C4KKQulqbvaTRAGCgaSz8mcNAoAgeNOvaBvUy00cBFrj1A1ysdb99+G253DePHfYTVOqa53e2uJy//afbsfQiTKZ6IiJ5LizCQKNq/n+tmz+zxcT7+bDG79+/DVlyEDBjDIrCVFjH5jHOYkTGOH17ZwE9v7mX3moOc/LuJGC39LzKoNV22BSmKwqJFi2hoaGDKlCk4HA4AjK1CyyRJQq/Xs2LFiiMqLKtXr+bWW29t03bSSSfx1FNPHXV8h8PRPCZAbW1tF6/ET1f58dlVVNdLTDothYYaBxZr/4twaRdvVeK+ICIxkIjEgbV2LAj9uUKPn+4iyzqc3ThfVd1U16wnfcgDbZQVT98BpA2+m4MHX2Vr9h+Yc2Ju94Q9Diiuq0eUJQKNXb9fappGRX09AQYDdpeTYEsA1Y12AnQyz772KuoPn1MbnYDF7WT6lb9n0qjRaKJAVv4+RiYlYNZ7xl7452nsXHmQZe/t5q2/LeWCe6b3SRHNjtJphSU7O5spU6Zgt9sJCAhg8eLFZGRk4HK5SEpK4q677uKll17CYrHwxBNPUFxcTFHRkR3NiouLiYqKatMWFRVFcXHxUeV45JFHeOCB7hgx/XSX3D2e29zaL/ez9sv9XPPvGf1eQwdaOVH66QhSRRVb3nyVnHffanZmEZqT2XhVvyZ/kVbbns32t2nlX9J2v9Cyu3WfrccTmoVoUTyFI7Q3nScIlJQ4Kf3jma3E05DCowi97+XOfiTHFXqdEVc3fg6iKBMYkMmhgrcJDZ2B2dySBVZV3Rw8+CoA6UP+0V1Rjwu+2rKNlNTuZbd96cMPKFi3CklVQG9AFSXkumoUoxlDSQGBF13HAwvPxOVUKM6rIXd9GaIkkBITiUluKWEgCAIZ0xNJyIjk/X/8wtv3rmTiaQmMP9U3xRh9TacVlvT0dLKysqiurubjjz/miiuuYNmyZWRkZPDxxx9zzTXXEBoaiiRJzJ07t9kh92j8es1V60Bxurvuuovbbrut+X1tbS0JCQmdvRw/3WD+FWl88+qe5vev/Hk5VpOT6KQA4scnkTYpvp8uc2j+1PydIEGTGLXwAhLOO98bDaOhaSqomkf3a46Q0dBUzesAiieoxtuOpnr3ec5tzjasqd4+QfX2ibdQXvNYAKraHI6uqU19ev5UTWs+zyNDk4zefjydM8Vtw6IXWvpEoPT+Owix2xCMPVdyor+jk/W4urnkl5H5b7ZsuYbVa+ZitY7GZExEUW3U1GzG6SwjKfF3xMVd7COJBzY5OTnctPCMDh3rcLv5ds0adMDevFzKtm9BjohG3buTu555sdlS8ms0VWPTt/vZ+M0+nPa2OZSCIkzMvHAISZlhzW2BoUaueGQ2P7+dxdovCgiJCSR1bP9zlO60wqLX65udbsePH8/69et5+umneemllxg3bhxZWVnU1NTgdDqJiIhg0qRJjB8//oj9RUdHH2ZNKS0tPczq8msMBgMGwwBZgjhOSZmYwI0TE9BUjaoSG0W7yijYdICiffXs3rWXnT/sZc5NU/qfidHpBH3PF0o7btA8kTKiJEE3CtT1R3ShFpTqCuTogaWw1Dvc2BxurGYdBrl7/yc6SYerm0ukAZY0Jk/6luLiz6iqWo3dXoAoGYmOPpPoqDMJDOzBNAUDCJvLheqwkxAafMxjl23ZytKXnsY6cTqCwYhBr+e+hx9j27595BYWHVFZAdj47X7WfpbHqBMTGDY9hpAoM6qiUbKvlo1L9vPVc1s5689jiUltybKrN8mceMUY8rJ+Jntp7vGhsPwaTdPa+JIAWK2eD2HPnj1s2LCBBx988IjnT5kyhe+//76NH8t3333H1KlTuyuan15CEAVCYyyExljInJ0MQP6mQr5/eRtv3bOaSXMiGH9e73vEHxFVQ+jmTf43hapCPyuC5isEWUaz97+ChO3hcCu8umIfH244SH55AwCSKDAmIZhrZ6Rw8vDoLvUr+Ci0VpJMxMVdSFzchT7p73jk2x270QUGcf8jD2GKjuGOq1oip1Zu20ZSVBQvPnQ/gYPTca37hQBHI3+68qo2fYxOTWV0aupRx9m5spDMGbFMP78lpYgoeSqnxwwO5oUbfuaTxzZy44uehIFup8LWn/PZ9G0emiow8fRMH1617+iUwnL33XezYMECEhISqKur4/3332fp0qUsWbIEgEWLFhEREUFiYiLZ2dnccsstLFy4kPnzWzzDL7/8cuLi4njkkUcAuOWWW5g5cyb/+te/OPPMM/nss8/44YcfWLFihQ8v009vkzwmhrCIXRSXgij3s8lOVT2/Xj8dQ1EQ5QHgm9QFBJ2MZm/oazGOiVtRufLV9WzYX8nC0XHcPGcwVpOOwmo732wr4vdvb+Qv84dw04lHz3l1PDJQkhoC7F3yJUKjDeFgLpGZI/hizVqGJcSz6MP3aKyrA3sjxtAwqkuKueShp0iP6ZoSagzQU1nYgMupoPtVzbe6Ck89K2ukCVVR2bnyIKs/3Y3DJhGdYmTG+aOITO67+kZHo1MKS0lJCZdddhlFRUVYrVZGjhzJkiVLmDdvHgBFRUXcdtttlJSUEBMTw+WXX869997bpo8DBw60SZYzdepU3n//fe655x7uvfdeUlNT+eCDD/w5WAY6GlRXq4DImIX9zBysqp4cGH46hOZ2I8gDJ7lUZxD0ugGhsPy0q5TVeRW8d91kpqSGtdl36eQkbnx3E49/l8MpI2JIiQjoIyn7Bqeq+sxK1FXcbhcrv/wct8uJpmqoqoKmaaiKgqqqaKrqaaso5cFHH+eZN17n4KZ11CUOYu0Xixl3yhmcNc13qwrTzhnMF89k8e79axgyMZqQaDOq27MklLO+BGukidmXpvP6HT/SWC8RFqvjrL9MICy2f393OnUXeuWVV466/+abb+bmm28+6jFLly49rO3cc8/l3HPP7Ywofvo5Pzy7CrtTJDJU6Xe1cVBV8C8JdRhNVRB1x7OFpf9VUP419Q43AAmh7fuDhZo9Plm1dnevydQf0DSNGqcLSRRwuz3X3tri0rTd9Kq1ccY+vL1pu3X/R2prQhAEyosK2fj1pwybcSKCKCJ4fb5kna55u6awgFB3I6Io8qerejaJXmxaMBfcM5GNS/axc1URjbWeiM7gKDOj5ySQNiGKDx9aicEscN7d44lMDOpReXzF8fnY5KdPsdU6ydnp9WtSFGxbtrZkcG1+EhJawl8Fb6TYr/+gbfhr63aEls2mPn/96j2/TbisKCCWV1DwxBOUvP56q1DYtvI0y/erUFlNVTEMTsWUPAhBpwNZpqi8HCk+DtFg8EbQHh7K225bq+truZG2RNCo3oiXpkgco7OMaKPTe4rWKjlK21TyTfdTQWvbfrTtwwpCtto0ufcgiAPH7N4ZBFmHWt//czjNzYgi1mrkgpfWcPOcwUxNDSfIqKOotpGvs4v5cMNBTh0Rw+iE4C71r3XT6daXLPhqKc4OWECbK0BpKlPqag/L3XXEkPpjvD/aA9aR9rlsDZisoSy47Kp29wMs/tcDBIeGs2f9akRR8mQmFkXPtigiSFKzciN420TJu0+QEOWW41rO8fQhtLqfCt77V1C4gdmXecKTFZeKIInI3ge1gzsqUNwyYfGB6I0yjkY3oih4Kk6Igme7vz1o4ldY/PgQl1Phk/t+ory65Waj7Mul8G/PeW+H3ltM052m9YTa+gmmvcn41+cclkflyOf8+onIpGlE3/5npLi4NmGztAqDbQrB9ez3hs1qGvayMir++zLyOx809xcG5MXH0njWGc2Daq1kbBHLq0wIrUXUmsP4PWnVPYqRR8ETvDqT5+Yx9NBrqMnjEOSW5IxaKwWuhZYbl9ZO++FzUzvHNHUAJESWIhn6vxWiK4gmE2p1dV+LcUyCjDoW/WEqf/9sG3d+kt3m62/SSVw+JYk/z+967gyhH6UGdIkS386fityZiLRTZvWcQB3gQO5efnjj6Pl8YtMzyFmzgvWffdTygPLrEPxW2y3vVe+xWtt7VCurUDNt7qOt29u2aIDqTuPg9om8c9+aw2QVBBWdQcUUJGMNNzFodBxDp8Qh6/rWMu1XWPz4DEeDu1lZsYZIXPrILOBEoO/qt/ia3e++iykvH4Ca4cMZ++YbCIJAusHQ44XMDjz1BeHnPoTRGtGj4/yahod3IOl6JoWApmkcrDtIbnUubs1NrCWW9NB0ZLF3bk1ScBBqY32vjNVd4oJN/O+KCZTXO9heWEuDw014gIERcVZM+oG5xPlT/kF+PliICs1/ByU99U4XwaaBc02aph0ze/akhecxaeF5vSRRx7DXuyjZX4uz0Y3icqO4FRSXG4fNSXVpHTWl9ZQfrOXADhsrPtzFlLNSGDWne0nvuoNfYfHjEzRNY/lbLSXqM0e3X+xyoFJfUYGmQfV//4sWHIwwYjiTX/6tZEjVesSpMas0i4fXPszOyp1t2kONofxh1B+4IP2CHjdLiyYzWmP/d7ptTXiAgVlDeldp7Sle3rOfiaFWYs1GJFFABGaKIkEGf56k3sAYoGuTQO5IVJfaWPTIajZ9m+dXWPwMfIr2VpO/w+MLEGiVCR+ZguJWkfpbSHMX2fHHmwnctIkgwGE0kvTXv/a1SL2Hprb1C/IBuyp3cc231zA0dChPz36aEeEj0Et68mvyWbx3MQ+tfQiH4uCKzCt8Ou6vEYxmlIaBpbD0BL3hreBWFJRfLWGowIKkWIZGHHvS7M9omtY7H2Ivo2kahTlVrP1iO85GgZEn9G02eb/C4scnRKcGM/7ESDYvLaGhxsHnT2cxZKiBeX+a1teidZp1Tz2FzmBAVFXMcXFEjh5NxpNPcHDWCSR89hkOh52QtL7Jd9EnJZA0fK6wfLLnE8JN4bx28mvopZan6dGRoxkdOZovcr/g8Q2P94rCopXX9OgYA4Oe/2Jd8MMqqtS2k46mKoSZjEc857dORUE9W348SEFOFbYaJ7JBIiIhgKFTYkgbH9USzOBjHI1utv6UR/bP+2mslzCY3Uw5axBj5veddQX8CosfHyGKApPOH86k84ejqhqL7/+Jon31uJ0K8gBZX3c7ndhKSwl88SUAaiMjUE6YTcXb70B9PdKECQSkD6HPMhVoR49g6Llx1TYFDX2BRWeh3lVPpb2SaEvb5Fgu1eWpK9QLiOaAARHW3Nc0NjTQ2GgnNLzrlhANeGvqaOKsA6taeUdQFd+nb9i7sZTvX9mOJcRAyugIAkONOO1uCvdU8/2rO8jbXMZJ1w33udJyaHcFX/5nI4pLJGqQnrlXZ5IwNKzHlKPO4FdY/PgcURSIGxHLxh+LOLirkkEj+9d6u+J246yrxxQSTEVODvs/XIQhPBzRGxZps1jQYmKQJ05g7H339a2wbdB63LH3yPj2ZnXJsEv4Ku8rzvn8HM4afBYjIkagE3Xsq93HF7lfICDw3JznfDpmuxjMKHV1PT9OP6e9sOa6ujryCoqp3bWb0u++J+On7/h52ixC83Opi09g3vPPYAoI4KOde/ihqBwRKC0rIyw8HARwqRp/GJbCq3sO4FYU9irgUI7PPDGKy+XTbNCqorL03V0MGh3BvKszDltaz9tcxjcvZbP28zwmLzx6mv7Osv6L7aiKxOUPTyMwtH9Zv/wKi58eoeZAOQCFWwpIHhHeb2L6FbebDWcuJCg3l7rUFLSQUII2bACgfvo0TKtWk/bpYoL6SeXvqr3rUd6/DLshHIu7BsnQB0X6PMllfNpluCmc9097n5e3vsxX+V/xxo43ADBKRqbETuGf0/5JZnjP1zNRGl3UbcojssdH6t8Y623s3LyFQ9t34szLR9i+jZDcPTQEBmGpr0N/9nmYv/+BhNx8UkePYMuX37DqlNNxWYNRBJEZt/+FmPg4GsKDCAwMRBQE1hSV8eesHNICzVyTEs/1kkhycP9M+d5dVMXt03ucy6niaHCTmBnarh9g/LAQAHLWlfhcYRlxwmAK9+7ky/+s4dw7ZqAz9B8LuV9h8dMjzP3TNALf28rmFZWU5f7MrD9MIiSq7yOHGgoLCcrNxXX7X1A+WQzRUTgvvQT9kCFMOP/8vhbvMNy2GupjZzLo6v/2tSg+J9QYyh0T7+CvE/5KrbMWl+oixBCC1ItlE/QJCQQOj+m18foj9R88zbVvf8bajL2ER4RjnTyJpEsuIHbQIORfLQMkJcQBcOKlF8KlniKHq3/3e9KsFsIHJbY5dmZyAr3lmq5pGqrN7clbZJJ7/wFJFA/PidINDCaZpBFhrPp4L2iQOi4Sg0lGVTVK8mpYvTgX2SCx8LYxneq3tryRugo7sl5C1ovoDBKyXsIUqGv+zAaPj0Vv1vHlf7L4/OlVnPPXGT67ru7iV1j89AiSJDL10tFEpxew7M1s3vv7asbNCmfSRaP7VK6gxER2nzSf0IgIRn71ZZ/K0jE0n1s3uiRDD4ZACIKA1dBHT94GC5rb1bFjVU+0lKu+Gtkc1OFQb8VhR3XUowsK74agPYN95VdUvPIG4z/8nonBXfRPEQU0RfGtYB3EVWaj9scD2HdVotk9MogWHabMMALnJCJbeyZ/0K/R6fSeJHA+ZN7VmSx7Zxc/v+35M5hlXE4F1a0RHGXmjD+OwmI14HIoyHqxXSWtodpBUW4Ve9bvpyCnBoet/SlfEBXMgRrWCCMhMUGYrSZCYywU59lx2t3ojf1DVegfUvg5bqkuqMEYoMdWBdtWljDpor6TZdsrr1Dz1dfoqquQTjm17wTpDKraKpttX9IfZPA9gsGC5vLUWXFUFSGbg5EMJpSGara88U+K8/JwulRyiz2+F6EWlcoGkfQEI2NOPRtbZRkJM87CGJnYbv+2siK+uPdazGYDTqeTyLgYXI0NIEiMOOUCIiae2icKqVJRSPn9f6Rm+TbMgyMRu6qsAIIoobp73zfFebCOspe3Ilp0BE6PQ46ygKbhKmygYUMxjdsriLxhFHJY+/WXfIms06H6WGkzmGTmXzucyQsbKdxTja3WiaQTkXUCB3cUsOS/67DVioAIaEiygqQDnd6jW7vs4HZ5pni90U1sWiDpkwcRHh+E26Xidiq4nArORjdlByoo3VdJdYmN0gOlKG4RQdCISTX5l4T8/DZQVY113xagaJ4vfFBEH/hftKL+iy+QzRbkyipctQMjlFXTFBD6OJfNcZpjonxrFj89/igR9ZWsu+UM9hSryIJCSqyRxkY3w2fNYnBkPBX7cphwzonk/fI1Q+aegzV1JJW7NnJg/U8YzAF896/bUJxOAoNMhCen4ayvpqqkBLvdRaPdTeLgZKb+5Tk0VaXol0UYolLBaWPzJ6/iWPQqo+adij4yhT3fvkdNeRnzH3idmr2bWffu8+zeX89JZ85m2EW3k//Nq7idTqKGDEfQm6jJyyZ+3pWdvm77qq8o+dufCb/pZiL+8TxCNzMnC5KE6u59C0vNd/uQI8xE/G4kYutIxJERBMyIo+jBNRQ/toH4R3t+ScOjsPSM0ibpRGS9SPmhUg7uqMLeICPr3cSkmhk1JwZLsBlbrQ1bTSONdXYa6xyIsojFaiIuPZqY1BACQo5uaUodMzC8uPwKi58eQxQFLnloBpu/ziN7RTFJw4L7VJ6RL7/M/hkzATBGRfWpLB1GVfteYaF/FcfzFZs/eAfV4STp8psIGT6KGW4nbnsDwYMykQPCEH5VyyZuZktF+djpCcROXwjAGDw+FLX7tlOWtRRj+hgy0sZiCo1GaahCF+wJ2xZEkdhZFzT3MXfkTEo3fEf+mh8p/eYzkA24nBqf33U5oWHBjDrjYiKyVvLNp0vZt2k1bk0iOjmJz9/9khALVDWA9MqHTJqawaqVuwjQKwwbPoipf3wU2dx+9V3nttWUPHAP0f96BsPE+T75HAVJ7LHJ+mhodgXJamirrHgRTb07ten0ep9ZWFRVo/xgHXmbC9i99hD1VZ7rk/VuolPMjDoxncTh4Yj9IMy4t/ErLH56lMBQI4rDU7n50PYyJvahLIbQUGqmTMG6ejWFb7xJwsyZfShNx9A05Zg1SnqH/iBD99E0DXtVJRXbt1GyL49L3vvEJ2UHBEHAOmg41kHD27RLhqMvR0SOn0/k+CMrDrHTFjLsvIOoikZgdAIIAiMvLUFnCUHU6dn39f9Y/uF7gIlx44ewbFUuUT98SPoZ17bpR2usp/L/7qDsw5+I//tNPlNWwKOIVWzbjiaKmMMjCB3SO0kVLZNjqFqUQ8W7OwmYEosuykxdtYP964oo2FyIYncSNiEGZ1YZQeFGAkKM6I0SiqKhKhqNdU6KcmsoL6imttJGTbkNW7ULt0ND9eoeggCyScBgkQiJMpM6MpbU0ZEYzG1DmGVd9xSWxnonu1YfZPea/VQWutA0HYKgEpGgY/yCFJJHRWEO0vebaMu+wq+w+OlRqktt5G4sBXQMGu0xO6qayprCNfxS8AsF9QXIoswg6yDmJ80nPbTrFWePxt7PPsN1x51YgYY/3sTwc8895jlHQ3Op2HdX4iyoR7W7kSw69MlBGFKCfZpgSao5iLVmh8/66zr9p5pvd1h83eXk11UR5FaZesa5PVIjyddYItuG2BuCW6yDyadcS/IpLcqJJfoJvnznUwr/+SKD40005pUTMCwEV7kN1aWSuug1dBmT2x3HoTj4Ku8rVhSs8PwuBZmU4BTmJ81netz0I06WUSedTOlXX1G0YwfCunXsHpqOIIoMvv12wocN88En0D6WcVEgCtQuyWf7phI2NDpwKR5FQhQVBJ3A/pUl8EvpMfsyWsESoic2PZjAYCM6g4yAgNutUFfVSH21nZL8Og5k7Wb5B7uYft4QMqfFN38m+i5YWFwOheyle9mx4gA1ZZ7vYXAkjDwxjpTR8UQlByHp+v/3szfxKyx+eoySvCo+e2wdBj1ceP9UAkKM1DhquOXnW9hYspG4gDgGWQfR6G7kw90f8t+t/+WC9Au4e9LdiD5eBpENBlyA4+yzST35ZCzdWBKy51ZT9cFulFonklWPaNKh1DlQfziALtpC6CVD0fnIX0cxBGMPHEToEfZrmsbSnDJ+2FHC/gobggCDwi2clBnN1NQw3zyRCQLCcaKwOOyN3PTiW8gWM5K+dyJIepOh599KZaEDteEHAkYmYB4SQ9DNTyKHhSMYjny9RfVFXP/99RyoO8DoiNEMCx2GW3WzrXwbn+79lBMTTuTxWY+jkw5PjpY4fx6J8+cBYCstxVlfz95XXqFi48YeVVgAzKMiWL21lN0H6gkM0TNtQjwJIyIITLUiCAKaqmGrdVJXZaeuohGn3Y2kk5BlCaNFJiDESGC4EUnq2P2mvsrOd29sYdnbe8jPLuGU68ciSSIGk6nDjsf1VXbWfbGT3WvLUBWJ0Fgd089PJm18LOYgf9HHo+FXWPz0GFsWZ6OXNS58dC4G75ryo+seJbc6l//O+y+TYyY3T6hu1c2inEU8vPZhQowh3Dj6Rp/Jkfftd1T+40GS336L8PHju9WXUuek4o0d6OMDCL92BLpIj2KiaRrO/bVULcqh7MWtxNw9EaGDN8GjoUp63IbgdvfV2V387q2NrMqtICXCQnpUIJoGy3LKeHP1fuYOi+Q/F4/FqPOBl3+fFDHyPYIgIplMx6WyAp6lKZM5CGbPJ+TPd3T4vIfXPYxDcfDJGZ+QGtySiEzTNH46+BN/+vlPPLD6Af45/Z9H7cccGYk5MhJTSgr1zz/Pmg8/bNmpqkTfeBPJC07u9HUdiWUf7GT36lKSRgez4NoxhyVZE0QBS7ABS7CB6EHdD50PCDFy9p8msXX5AX55bw9vP/ALJ140nPihoWhHUerdLoWCnCo2fZND4d5GRFElbUI4E08fRlB4z0cxHS/4FRY/PcKBrSXs32sjNsnYrKwAbCrZxJmpZzIldkqb42VR5qKhF/Hw2od5ccuLPlNYNj3xBPr/vYIyfz6hY8d2uz9HXg2aUyH0oqFIgS1PQ4IgYEi2YpkcS81Xedg2l2IZH32UnjqGdhSn239/l0P2oRreumYiM9JaIj00TeP7HSVc/9ZG/vzhFp67pLvXLdCZJSFN0zwKjqqCph3+XtU8/TW/9+Sv0BSl+b2maqCpiAEBzZaBpsRcWqt+VW/fzTkwmsZqOlajRXZNQ5Jl7BXlBMTFd/Mz6d90Vr3cXbmb+Unz2ygr4Plez0mcA8BnuZ8dU2FpIvOaa+Caa9q0bX/9dWp37gAfKix7NhZjCZU57ffjfNZnRxg5M5HQ6AC+f30rnz+9BcmoodmnsPz9rQSEWFAVjYYaG7VldVQWNVJfDWgiBrOTCaclMXpuWr/JbTKQ8H9ifrqM0+6mvsqBrdaJrdpOzcEKagurKdlXT5VNT1S4zAl/aKuYjIoYxRd5XzAnaQ5jIluyNKqaymd7PwPgigzfVeiNGj2aWlUlaMkScsaOISA1lYCEBIIT28+bcSx0UR6LSv2qQoLmJbXxV1GdCvacSgAMg4O7LTvgKTx4BIfXzQeqmJsR1UZZAc8kMz/Toyx9lV1EdyvyrDMMZu+H3yC9/32LKB3JJde8HCW0OlZoe17TMd5XQWhyMRZAVdkniQS73QQrqrdda9oLrdyRm7tp6bjtmN6XYoORqurq41th0bROR5ZNjZ3KR3s+YkTECOYmzm3ONmxz2Xhju6dswr2T7+2WWLLBSP2OneQsWuT9D/P8H0WMGUtIyqAu9em2awRH6fskuVn8kFCu/OcsCnKq2LXhIAW7FHasKEZVRBA0JFlFbxQJjtQzfFYsiRnRhCcE/OYdZ7uDX2Hx0ykaahxs/HALB3ZUUNOop/UUIQtuLAaFkEgDk+cPY9C46MN+nHdOupObfryJy7+5nFRrKinBKbhUFzsqdlBqK+XM1DP507g/+UzeuBNPxPGPByh98y3E995Hy8+n6oorCL7rzi71p4u2EHRSErXf7se2uRRDajCiRUapceLYU4XqVAi9ZChysG+KhmnakS0sk1LCeGv1fuZlFHFyZnRzmKOiany6uQCAiyd1TTFrjSs4grPOWEB4+qRu99XXvPHQ37EfpwX4mhA0DaWTc+LtE26nwl7BX5b9hSB9EMlBybhUF7nVuSiawu9H/Z7zhpzXLbliZsygIXcvDbt2Ax4rmKukhOoVK5j45JNd6nPGhWkse3cPb93/CxfeNRVLL2W2bUIQBeKHhhI/9EheZn58iV9h8dNhNE3j478vxe6A5DQLY0YnEJIQgjlIjzlIj74DuQ9CjaG8teAtlh5ayi+HfqGwvhBZlFmQvIB5yfMYFTHK53KnnH8+sSedRP6kydSMGoV761Z2vvYaw666qkv9Bc1OxJgWQsOGEpyH6tDsCqJFh3lCNAGTYpB9WeH0KEtCt84dwr7yBm54ZxORgQbSoz0+LLuKaymvd7JwdCz3n+6DAoJCy3LMQEeSZVzeMPvjFU1REKXO+S1ZdBaePfFZtpVv45eClt/l6amnMydxDrEBsd2WKyg+jrH33NOm7dDq1RS9916X+xw+PZHY1FA+/NdaPvvPei7+2/TuiumnH+NXWPwcE5dDIevzHezPKqLOruP0m0eSmNH1uiiSKDEncU7z2nhvYLRasb72Klx1NQA1sd0reKePD0QfH+gL0Y6O5qlf0x4mvcRLl41j4/4qvt9ZwgFvlND54xM4KTOaUQnBPhFBREBT+6ZWjK8RRRGlj+re9BaaqlK+L69L5w4PH87w8OHHPtBHSAYDmquDtZyOQGhMAMOmRrNjRbGPpPLTX/ErLH6OSfaSHNb9WIY1QGTWOYkkDOt63ZG+JGrCBA4NGUJgTg5s2drX4nQMTUU4ij+CIAiMTw5lfHLPmaQFAY9z63GAIAjHjbXoSMROmETp3py+FqNDSAYDmg/qENXX2NGZ/L4hxzt+hcXPMZEMntwLSZkhDJ83uI+l6TqaooDTSVl6Oil39Fbh++5xNB+W3sKTz8K3lWj7DI3j3ulRNplQ+qC2T1eQjUZwdV9hcTS60Bn8SdaOd/wKi5+j0lDjYMWnBwAYd86IPpamexT8/DOB+/YRCBR98w3xU6f2tUjHpl8oLMePD4umab2a3ba2opED2yupq2hEEARCos0kDQ/HGHB4AjZfIRmNKJ10LHa73djqGzwh5d6QcU9EuOfV09b02qK8amrLfs+xWktb63ZV8YSYe/tvCm+3FxXiqKtjXf7+lrB1vJHpaM3jAiRHRhBvbX8ZNiQygNK8hs59UH4GHH6Fxc8RKc6vYX92OQAGPWz/djfjzxnu09TzvUnC/PmsnT+P4O++Rx/RvQq1vYUnD0vfft5iLyyjqA4FzakgmmWfJNw7Epqm9YqFRVFUVny4h23LCxAEgcBQA6qqUV/pQNKJTDx9EGPmJfaILLLJ3GmF5dt/P4OyaRNKsBVPuLE3iFzAm+mYlvY2MeTebVFo2RaEln1Nr6Locd4WRM81CwKaICCoKmVjxlG4Kav5/JbuheYu3E4XTqeD+88/G1mWkX7lVBwzKJQdS0vZt72M5MyB8dv203n8Coufdmmsd/LJv9aj4Zk8HE5Y92MZg2fYCIm29LF0XUMURURFoW78OIZffHFfi9MxNBXoYwsLoPbAkpDmUqj7pQDbxhLcFXZPoyRgSA4icGY8xnTf++X0loVl3Rf57FhRyPRz0xg2LaY5R4it1snm7/az+pNcLFYD6ZO6n1zw18hmc4fr2mzftIU9z7+IsbiI9Mf/xeChPVPLq7vYXC7uee8j/vbWe+iKCwkaPhJJEBEEz69DUEEMUPjyP1mccss4UvxhxsclfoXFz2FUl9pY9+4mNEQyJoRiCRBx2V3Ej0kYsMpKEzEXXkjBnXex9fd/YPJHi/panGOiHSVKqLfoCUdVza1S9nI2zoJ6zGMiCZyTiGiUcVfZadxaTvlr27GenkLgtDifjoum+rxOVXvkZ5UxdGoMo+a0LVxoDtIz7dw0sn44yA+v7eghhcVCeV0NX/z+6pasv6pKUHQMs/75L498e/PIeu4FArO3oj/7XE6+4Tqfy+FLzDodT1x+EQC7S8vZX1mFqoGK5nkVwD1IpeSLCj57NovT/jiKtKEDMzjAz5HxKyx+2qCpGh8/tAq7QyQtTWbC2UMJCPFhXpE+RqmsJLiigppRI/talA4haFqfLwn1hA9L47ZynAfriPjDKAyJQW32BUyNpfzlbGq+yMM8MqJNCYTuomnasTP0+oDgKDOHdlZSW954WK2Y4vwaAGIGd7+2TXvoLRYuePgJVLfbs7wmyQiiwEd//iPO/7yIKopYlnxDtKqS8dGHWIN7Ro6eIj0ynPTI9tMquIYpvPDoOpZ8sJu0vw8AHzU/ncKvsPgBPIrKyjc3sWt9OQ5FR3QkzP/zzL4Wy+foTGbsgLuoqLmtrKiQb177L5qiEJ6YTFTKYIaOHktAYC/kWTkGmqb0udOt2AMKi2p3gyi0m2RPEAREi8cpVXP6NtrF48PS85/ntHPT+OzJzbxz/xqSMsMIibGgqRplB+o4tLuKqEFBnHaj75MkNhEyxLO0U93QwI59+wE4FBXL4NQUBEVFvepqkkcNH3DKyrHQ6SUmT4ph7Rf5aKo2YP3t/LRPpxSWF154gRdeeIF9+/YBkJmZyX333ceCBQsAqK+v58477+TTTz+loqKC5ORkbr75Zv7whz8csc/XX3+dq9rJONrY2IjRePw82fd36irtbFlTA+g47aaRxA/r+TVgxeEASUSSPZNT0coVrH/zFYaftpCIzBH88OgDqJKExWwhImkQY/7wRz669jIUxY2iasQOSmH89TcSlJTcofHsFRWse/8N6kalUx1oIevm6zGHhlFfWsL08y8hICSMg7t3sHfNSla99wYj553CCWed225feTu2sydrI0HhEYw74UT0PVX9t5cm2KMhIPjch8U0PJzaHw5Q9uJWAuckYhhkRTRKuKscNG4to3FHBeZxUchhvq1kq2kaYi8ssVkjTFx470S2/1LI/m3l7FlXgiBCSLSF2ZcOJX1yNFIPOhc38dG335K/dTPBMXFEz13A7AXze3zMvsTlUMjZWYlmEHvFkuand+mUwhIfH8+jjz7K4MGeXBxvvPEGZ555Jps3byYzM5Nbb72Vn3/+mbfffpvk5GS+++47brjhBmJjYznzzDOP2G9QUBC7d+9u0+ZXVnqXoHAT8y9P4/s3drHzu93EDJ7UIzdUTVUp+d3pqI1Ofq52QXA4gnct2uFwMGrWiSx7+xUCjWYik1MYff7F1JUUs/7NV7As+Qo0jbSJUxn7hz+y+723+ebevyLJOlInTCHt9DOxxMUfFnnhttkoXLmCTR++Q0z6UM6+w5Me3N7YSEHeXpLShyJ7laYho0YD0Giz8cqdt5L9wzdYomO58m8P8MMH77D9h2+IGzmWg1kbGDH/NA7uyGbdpx9y6g23kpIx3OeToaoqyJ1Is16y8Ssat3yKZrS2Wklqid5o88kIrSI7oKXCcatDNMBRuA9Hsm9D2qUAPRG/H0X1p3up+qDtb1/QiwTOiCNobpJPxwQ8CmAvPXXrTTJj5icyZn736zl1FQ2NUTNO4Pw5vZdVurdRFJWSvBo2Z5WSu6YYoVFh9jUZx32+nd8igtZNW29oaCiPPfYY11xzDcOHD+eCCy7g3ntbqnqOGzeOU045hQcffLDd819//XX+9Kc/UV1d3R0xqK2txWq1UlNTQ1BQ0LFP8NMGRVGpK7dTtKOYnz/IQ0BjwXUZJI/ruNOja/dGSu+5GdXuwjxmFGH/eLnd4w4sGE9DfgO5s+OZ9/A7GEIiUV0u3DYbeqsVW1kp5VuyiJ0+05NYCvjp1pvQLBas4RHs3biOC9/6sLm/6t272L34Yw7m7KDRZmP0nJOIGDma0rWr2bNxLQ7FTXhUDDHDhjPs4suQzeYOX5OmaTxx2TkEp6RRvT+P+NETiB8ylIiERIaMHA1AzpbNfPHEw2BvJHrSTEbOOYkRozzm/uLiYoqKiggNDSUpKYlDhw55wlwDA9m5cyfjxo1Dlo/83LDvi8eQZJmEBbce8RhVVak6lEP98ucJyF9Cw4jL0EUNbbOM07ytNWXIaNZPAK2Nm8yvlZpftuQRmzmVGbNmd+xD6yRKjQNnUQOaU0EK0KOLD0DUd64WTkd548F7mX72BaRm9l76+b7ggYcfRLE1oNbVMP3iKzl50sAvXNma+ioHO7NKyN5aRkNuHaJTRTFJRA8P5eQzBx/mN+Snf9PR+bvLPiyKorBo0SIaGhqYMmUKANOnT+fzzz/n6quvJjY2lqVLl5KTk8PTTz991L7q6+tJSkpCURRGjx7Ngw8+yJgxY456jsPhwNGqiFltbW1XL+U3T12lna//9QvlNRIm2YlelnC4JaoO1R5RYdHcblzZq9CPntHsFOouOohqdxH99KscuOg8RMvNuEuKMU89AfOZ11Fx75XYtu5GsloY9No/+fqp/zCtpgpDSCSiTofe6llPN0dEkji3rel6+j8eIfv1/+FqsHHmky+02RecPpRJd/6NSYCztoafHriHA1s2E5KSwuwHHiY0OaXLn40gCNz437cpKzxESGQUAUGHr/kPGTWGM/58D9nLf6Jozy4+/eA9DhYUkJPjSY8eHBxMbW0tdrsdg8GzdOR2u7Farfz8889ERkai1+upra3FbDZz6aWXcujQIb766itiq7YxNCkC1WmjdOtPIEpEjpqPKEkcWPIMQvYiRFQwBiMOP5eQi54gTPKta5pYuAi1B0OrJasBUy9V2fUsCQ3cJ++v1qyl4NBBVFVFVRVURfFuq2iqiqooaKqKo6qChx97qq/F7RE2rS5k5Tu7ERQNOd7MsDnxjBgVSURi4ID+v/VzbDp9Z8vOzmbKlCnY7XYCAgJYvHgxGRkZADzzzDNcd911xMfHI8syoijyv//9j+nTj1xBc+jQobz++uuMGDGC2tpann76aaZNm8aWLVtIS0s74nmPPPIIDzzwQGfF94Pnpl1VbCNv1T7y1x+irFrCKCuccPFQSrcdwtHgIHXGYAZPOrJ1peKeq6j9ZTO6SCvGIWlIgRYEWcRVWU/tq48RMDoV0RpMwMRZNCz5hIpXX8VV3UjKym3NptqMT1/DaO7Yk5A+MJBxfzyylaH5uCArJ//72Y59EB3EaDaTMHjIUY9JGzmKtJGjePPh+xkzaRpl9TZOPfXUo36HwaO4bN26FafTSXR0NG+//TYffPAB+/btY9asWYwYeg7V7/+egqdPwh2RiajYKfrhHyBIoLMQ88clyMaeDTUXRbFH8rD0Bb2d6bY7ZOfvY39REaqmgqahqhprF39AxrxTsFgsyJKEKEqIoogsS0iihCSJSJJE5Kmn9bX4PUJFQT0r39lNRGYoZ12RgcHccxmD/fQ/Oq2wpKenk5WVRXV1NR9//DFXXHEFy5YtIyMjg2eeeYY1a9bw+eefk5SUxPLly7nhhhuIiYlh7ty57fY3efJkJk+e3Px+2rRpjB07lmeffZZnnnnmiHLcdddd3Hbbbc3va2trSUhIOOLxv1WK91ax7t1NVJU7cSsCkqjhUkScqg4RhZgokRlnD2LI9EQMZh2ZMzv2GQaefTlln24g8eVHcR3Yi1pTi+pWib5nEsZZCxHNAc3Hmmaf024fqgbScfZApKkqkZFRTJ3TsbBpWZYZO3Zs8/vf/e535OTkcOKJJxIT46kobb3p054QtcMcVxWONQ1hgHhjvv/GK4Qnp6A3GBAEAUEUGTR9NheeNB+dj61o/R1N08jZXMa3b+xAtuo555rh6Hpo2dBP/6XT33q9Xt/sdDt+/HjWr1/P008/zVNPPcXdd9/N4sWLOfXUUwEYOXIkWVlZPP7440dUWH6NKIpMmDCBPXv2HPU4g8HQbF730z7ZS3JYvvgAVoub5MwQdCY9brsLvUVP1PA44oeFdflHX/bIfSQ9dR9yxgzkjBld6sPucLPz0xcxBkcSN/4EAgaN7lI//QlVVZDkrt9IIyIiiOhnZQOOPwvLwFBY5IoSfnfXPZh/o/c5p91NcV4N23ZUkJ9dDiV2gtKtXHj9SL+y8hul22q6pnmiO1wuFy6X67AoCUmSOnWz0zSNrKwsRowY2IX2+gOrPtsHgoxeJ2Cvc5B2Qhqx6UfP/lj7ysOUv/E+1rkzwWUj5PZ/IQa1TKCao5HKf/4efWIC5pMv6pZ8J1z5eyp2rafiwF5KcrKZ+bdXutXfsairtJP1wwEO7qikrtKOJIuExlgYPD6KzOmxSLruLxVoqoZ0nD39Hn8KywCZ7Kyhx6WyoqoaZfvryM+torTcRmOjgsPuxu1ScdncuOpdqA1uxEbFUxbCKBKcHszks9MYPDLcH/3zG6ZTd9a7776bBQsWkJCQQF1dHe+//z5Lly5lyZIlBAUFMWvWLG6//XZMJhNJSUksW7aMN998kyeeeKK5j8svv5y4uDgeeeQRAB544AEmT55MWloatbW1PPPMM2RlZfHcc8/59kp/g8w4J4X8tfupt+nYu1fhwNMbuO75k9o91r76Gw7dfBuBY5PQh5pw5mSjaTKFV56J2mhHkCRPwbL6MgJPOo3QB17rtnxhY+YRNmYeFVuWsv3Lt7rd39Eozqvh82eykHUiqWMiCY4y43YplOTXsmLRHnavLebMP41urvnSVQa6U2d7HE8KC5qGOGAmvOOjQnYT9noX33y6h0ObyhBtCqoIBOkQDRKSUULUiRgDdYTHWbBaDUSGmohPDSYkyjxgrGJ+epZO3Z1LSkq47LLLKCoqwmq1MnLkSJYsWcK8efMAeP/997nrrru45JJLqKysJCkpiYceeojf//73zX0cOHCgjRWmurqa66+/nuLiYqxWK2PGjGH58uVMnDjRR5f42yVj7mCGnZjKO3/+DlkQGDcv/rBj3Pu20rBkMWp1GQgCtRv2kbZxFwBKRRGOXz7DfMb1PVrPRhcYSsH+Ihbf4snVI+Dxb4kbNoJJf/inT8ZY/n4OoTEWzrh5NHpT26996f5aFj2ygSUvZXPGLUePTjsWpaWlKMpxMrl7EUURt7tz1X/7KxoDx+lWGyC+Nh0hZ2sZS17fAYpG8uQoxk+IISopyCdWTT+/HTqlsLzyytFN9tHR0bz22tGfvJcuXdrm/ZNPPsmTTz7ZGTH8dILaikZqGnXMn6eSELabxu+3oFSU4diehW3rDgSDkYCpExGDQgm/6DSMk1sSTElhMZgX/v4ovfuGoJSRXPTfr9vKnbeFda/9n8/GqK+yM2xqzGHKCkBEgicF/8GdVd0eJzw8HL3ed7Vv+gPHk4XF0Wjnk3/+Dak9paWhjMhgGUnWIYgCoiAgiAKCIHrKBYgex1dJEj2VvyXRE6Ujtf2TZBlBkhAlGVGUECTZs0+UPIq/0PrPo5Q4SxtQpWCPHN5cOeaqil77XHqS/G0VfP98NoFpQZx/7QgsvRTC7uf44/habPfTBkVR2fr1dgCkH16j1qgg6HVIgYEYx00l+NZHkEJ9Xy3WN/i26N+QCdFk/XAQg1nH0CkxmIP0aKpGRWE967/cBwKc/eexx+ynQxw/D8ZA5/3Q+jNCZAzn3fpXIuPaWhsP/u96Eg6toWD034g57VY0xY3mdqEpTjTFjaq40NxuVLcT1e1CdTlR3Q5UtxvF5UBzu1Bczpb9bhea2+XJleJ2efpQFfCGKKO6m7dVhw0t+1vU9As833kBEESG787j80uu8AiogTB+PGPOWdj0Fk3TPItGmubZbs4E6GnXmv7LNA1NUz1/aqvj8VRyThmSht7QvpLtcJRQVvYDDbZcNM2NyRhHWNgJBASkd+jzttU6+fo/W5BC9Fx52zi//4mfbuFXWI5Tqksa+P65XygrlZl2WhQpp73T1yJ1DkXxaQ2dKWenArD2szxWL85Fb5JR3CqKS8UcpOfk64cTMzjYJ2P5OmxWdSqecFy91Cc3fMXl4tC+fL7+4L3miU5TmyY8vHlCaJ40Wx8DTW1N2XbbTq4tGXi9yzUarSoJCC3XKwgICN5qAp72ps9ZFEVEUUCWdUiyx5rhFQhNbZENTaW+vqHdJaGIhX+n4tmfiMt6CBb+FWQdGHonW6pSUYJz39eYbru97Y5bWtI2OB1Ovrr7PtY/6U31IHj/8eo3zcHazb4eLZ8bze2CVyESmhUjac8esuPiOf2Rf7Qph6JpGvv2P09+/rOAhtk8CEGQKS5ezN7c/yMq8jSGDXsUSTryZ6RpGh+/vg2AS24f71dW/HQbv8JynKGqGtnf7mTNF4cwm1XOvn0c0akhfS1Wp9FEGQEVW+FeCtd8hSEoFL3Fiikqib1fvsrGDTk4FAGnW+CKu26lZGcWQeHhxM+7st3+JFlk+vlpjD05iYKcKk+UkCQSGmshNi0YSfaVcuQbR0mlwUXdsoM0bi1HqfZkdBbNMsYhIQSemIgusuPlBbqLzuVEdNrR6fXeuU705gXxKg1C6+WTpiUUWm0L3iUVsflYRAER75KIoCEgogkagibgVXdA9Ux6quZVPvAoIFqzMuJRfFRVQ1EV3C4XitvlyRkjCAiihCDjnSg9co6bOInQyKjDrlG2WAkTygA4+O9TSfjzV732+Wocu1Cf3qDnrH8/2iPjL//wE76/7CpS/3Y3GaM90ZklJV+Ql/cEyUl/IDHxenQ6T7p0VXVSUvIFO3b+FUGUycz49xH73bq2mNod1cy+LoPAdqpy+/HTWfwKy3FATZmN6pJGagrK2f1LLqXlRkZMCGDKpZPQGQZICOevkANC2byrms23/qm5TRJUDKKbhGgzZ1x3NYUbf2Tjxjy+/++zFFR4EpvdesJFiLojr5Gbg/SkjT98wvIp3XySVOqclD6XhdroxjIuCl1cAIIs4CptxLa5FNszm4m4ejiGlMPLBPQEZrORyMgo5p3VfgLA4wFRkijTotBm3UnMlPN7dWxBlNEc9l4dszUzzz+bkulTWH33feyMjmbWX/5ERcUyggJHkpr6lzbHiqKemJhz2LHzrxQXf3pUhWXjuiKkRAsZ4/rrsrOfgYZfYRnAlB2oZe27a9i/z/PfKAoqMTEiZ9066pj5Vvo7lqgEbnv3U1RFQdK3r4BEzTiP1jE9i29Z2D9ybHSvnih1vxSgORWibh2LHNz2yTTohHgK7l1F2X+3Ev9o1xL2dRZJ1qEqx0eUUHuUfvs8ARueQDGEEbj0bmqt0YSOO6XXxpdCQnpsucStuim1laJoClHmKPRS+74qUbExnPHqS2z4YSlrr78Bzh+JKeprKiqWExY2s82xNls+AIJwZOdyTdWwFdkITfEXovXjO/wKywBEVTV+fvEXdm11Yw10M+/ydGKGRmEJNhxXOUAESe5kEjYNoc+Ttglel8euo9pciBYdUuDhipqg632FTJblPk/NX1dpZ392OdWljaBBUISJ5BFh3a7KW3l/GmZ3DbZZ9yOsexWL2EhN4S7oRYVF0zSfO2ofqjvEc1nP8eOBH2l0NwIgizJTYqZw4+gbyQzPPOwcURSZOP9ECgenUHH66ew6ZzxZ2lUEBo4gKGgEgiBja8ijqno1JlMiY0YfOXdS1qpChConM0/wl0vx4zv6+u7upwtkf7uLXVvdzDw7jow5aUhS3+UyqKh38PaaA/yyp4yiGjt6WSQ9KpAzRsdycmb0caVAdQRBEDyOnt3AMiEa26YSyl/bRuAJ8ejjA0EUcJc10rCuCADrqYN8IW6HkHW6Pssto6kaaz7LZfP3BxHwKCqCADXljfzyYQ4jZsUz/bzBiF34DahuJ46Z9xK6/I/oxp2FYd4NVO9cSVj0YN9fyNHQWnka+4D9tfu5+KuLMckmrh1xLRlhGYiCSH5NPh/v+ZhLv7mU5+c8z5TYKc3n5BwooOLss5AVhUMTJmG4+x7mnXoSTudaSku/pqYmC01zYTImMCTtPmJizjmiw21lUT2/fLiHsJGhxKcNPP85P/0Xv8IywKgorGflZwWMnGRhxPyOhRb2FNsKarj81XU4XAonDI1kUkoodpfK5gNV3PDOJuYMjeTFy8ah60OFqvfRuh3dZEgKIvyq4VR/lkv5/7a12SeaZaynpxAwNbZbY3QGSafrMwtL9rJDbPruAJPOSGHk7PjmTMQuh8L2XwpY+dFeDGaZSWekdLrvgkdnkeDeAYAh1FNoMnjYNN8J3wkUJzTemYlOLEW99HP0GVOOfdIReH3761h0Fj464yOC9C1LMlNjp3J++vmMfWss139/PdlXZDfvqzvzDIIbbey69ErOuueOVr2dRGRk+9mx26O61Ma7T29GDtJx7lXDu3wNfvy0h19h6afUVznYvHgD1UW1xI+MZ/RpwxEEgZKcMjREJl00oa9F5K5PsokLNvHaVRMID2i7fPHTrhKufn0D9366jUfP6Vjl4uMBTcMn/gjGtBCi/jwOV7ENd2kDmgpyiAF9fCCCzyKaOoas03lyiPQB+7IrSBoexvgFyW3adQaJ0XMTWfnRXjZ8va/TCoumacS7dtCo6ikPnUJkVQl6a0SfZMEVRJGAf3vyJTU8fApyfXW3+nMqTkyyCVM7FhBZaP+WX3HH3Zjvvwejt0J4V8heW8TP7+xGNElccssYDO0kafTjpzv4v1F9hKqo5G0sonTXAeor67GEBDDi1FEEhZtRVY0lT/5MTZWGIOs48FUZ8aPqiUgMJHxQGJBPyb5aEoaG9uk15JXV8/tZqYcpKwCz0yMBeH/9wd+UwoKmtcqF0T0EQUAfY0EfY/FJf11F14cKS2i0hV1riijZV0tUclsHzoqCegACQjufOVUQBOy37KbiuTNIqFmG+tQQHKqM4f6SPveDUj67i4YfnkWIGIL5uqc6ff6F6Rdyef7lXLnkSi7LvIzMsEwkQSK3OpcPcz4E4JEZj7Q5x/zs0wCcfPVlnRrL7VI4uKuKZT/tp2FnDWEjQzn3quF+ZcVPj+D/VvUR6xdtYsPSWgLNdmS9yJ5djVQWrWTujbPYsHgrJaV6zr5tFCveXItRLxISY0bTNHKW7UYUFILCeiep1dGYnxnNS8vziAk2cdrIGIxeh9DC6kb+/V0OAO9fP7kvRewDur8k1N/Q6Qx95sMy/tRkinKr+ejRDcSmBROeEICAQEVhPQW7qwiNtXDmn7pW/8kYGk3AuU9SVl2CY92bhFas4tBj80i482cfX0UnZLruvyj7PMuAwseXoTkfRdB3LofJiIgRvHbSa/zf+v/j9mVtk9ElBSXx71n/Zk7cXEr21VJX0UhdUTWV8/7M+jIHK5/cSFRcAJOmxBKZ2H6ET0O1g91by8jaVELD3lpEtwbhBqZdMZRRk2P8CeL89Bh+haWXKd5TzrLX1lFeaWTERBPTrziBD+75DgBdYDBv3/UziioyaU4oMUM8URD79zj54ekfqS53U1FtZNqp0Vgj+l5heXDhcJxulb8s2sLdi7OJtRqxu1SKa+0EGmQeP28Uk1N6Mby6PxS31bTj7oatMxhQ+ig1v9Gi4+y/jiNnbQl5WWUc3FEJeJxvZ12cTvrkaORuRE7VfnE/ibZ1VKnBVOqSCb3keV+J3iWkiHikCE/ZgMZFgbh/+QTd8NlIIWEInahRNTpyNO+e+i7FDcXk1+SjaipxAXEkBSWx+dMd/O9fP+LWPJ+biILJYCAgPhyAAz8XcuDnQkaelMj4uYkgwMHd1WTvKKMopxqhzIEmgBxvZvjJiYwcE0VorOW4+9776X/4FZYeRNM0asvtBIYamqMY8tflUl5pJDJez7TLJuF2qTTUe37oudm1ZI4LYNJFEzAFeG5OJ/xuBuveX0floWrCYvRMv3w48RmRfXZNrQkwyDx3yVhuLa3nlz1lFHujhIZEBXJCegSBRl3vCtQP7pe+8mHpT+gNesz5+9jz6sueTLRuF6rLWy/H5fbWzVE8tXdcLlSnC5xOVJcLHA7CFiwg+bwLujy+JIkMmxrDsKld9684EjEX/os9b9/JoD99RIjZdzlDthfW8POuUg5VNSKKAqkRAczPiCIhtOMZirXxv4Of/o3r50dR9DKG+zZ1Wo5oSzTRlpbEbdlLdrP62xIyRgaSsSADa6QJg1lu85112Fy8+1wWW789wNZvDzS3q8E6wlKtjDwlhcEjwjEG9PLv289vHr/C0oPkrDrAD2/lAnD2baMIjQ+i9EADAKWHnLicCkaLjgv/MYvivBrC4gIIiW7rr2Awycy4amqvy94ZBkcGMDgyoK/F6Cf4tmijr1BcLhpKSgABQRIRRLE5Vb4geWsUNW2LTan3RQRJwqI3kLltJ46ICFTBkx9HlGVEnYyo0yGZTN73OgSdHtFoQDIYEQ16ardsofKHH7qlsPQkjroqRGMgso+UlUanwl8WbeGr7CICjTIp4RZcisZHGw/x0Fc7+MMJqfxlfnqHlFrz+XfA+XegOR047k6l8a4MNIcN+ep30A/vWjTTth/2ER8rM/uGIy/VGsw6rrp9AnWVdgrzanArKolpIf70+n76HL/C0oMkjY7F8OEeHA6RT57YgjlAwlYPE+cEkzxpMEaL5wklIMTI4HH+m0F3id5WzLp5c9EcdkIuvJAhN9zU+0L00yWh7S+8QP0XXyJGRuKtRNhctRdN9RQd9L4XWu3Hu18/fjzD//HPTo/rqqvDUVrq+wvyEc66KiSj75yaH/1mJz/tKuWpC0Zz2sgYZK9l1eZ08+qKfB7/LofwAANXTet4Hh1Bb8D4+CEAGv7vbNSq4i7J5nYpNNg0EjI6ppwFhhpJ9yspfvoRfoWlBzGYZMRAPCXqdW5s9WbU8CpWRlSyKj8PMd9bbVbwVPgV8SwnNL0XfvVeFDxtotB0noDobZ83bCLWwIGdjr+7xFsg4fMfyHv3bar//SQbfvyplbXjVw4u3lxdWuuG9g5pmrRVz8SteSd2NLV5QvdM9p59mdXViDfe2nMX2UUEUcR63rlkXn99r47rrqtDNPdtlFN7aKoKgoCjphSdD5eClu8p5/zx8SwcE9em3ayXuenENB7/LocHvtjRKYWlDarapdDr6lIb3z25EpcqMeykYV0b24+fPsavsPQgDTVOGstFhp4WTESGAVVT0TQrmvdJVkP1zIOaitrU5q1Kqza/eivW0mq/pqFC8zkflNuIObiLaRl9k/Sqv5F84cU0TJ2GqqqoitqiswhNL15NxbujtUGk2ToiCB5lRJLAuzTStIwiSDKInmrASJKnTZYQBJG1l1+Orj/UM/oVok7n8S3pZRRbA5Kl7x3EW+OoLER8KpNGzIhiCKYL/uuzvofFBPLt9hIunpREenRgm30/7/JYmk4d0R1fHAU6+P3SNI2ivdVsWbyV/DwXJlnhrL9MJCzOv3zrZ2DiV1h6EINFRpUFyvYbOWH+CGR9z0xkuUs/or6xjqKyAwiCiCgK3tBar1VGEBEEEAXRs43Q4r+AgMlg7pOEWUpFkcdyAR6LhWfDm6pca9mHt95KU3vTa5NVRFVBVdG8obeiKBKY3Hup69sgCBz4+ht01iDP/4FAs38IQKVOhxYR4T3U+//glbnpVRAENE1DURSP0qWqbbbba/s1mrcAY9NrQ1k5icbeN++rjY00fvYFG7ZsRROEtstlTZ+LAN4Pqvm9R6nUiLrwQuJP7nhdH7dTobbCjtGiwxSoO2x5TnHYaDy4jWBRxa26CLp/2xF66hr3nZbJZa+s5eSnlzMhKZTBUQG4FZXsglp2FtVyQnoE/z5/VJf7d+7NRRhVc8zj8jYUsuqdrdQ06gnQO5l8ciIjT0nvsXuQHz+9gV9h6UF0eokTLh/G0jd28uL9q5l5WgpDx0Y2pxf3FeMjY/jiwH5+rFgNeFcv8M7lrV+9839TmwYc0gxcG2Fk4fiTfSrTsbCv+orCv/wFY2JES2ObyUWgJeqn9XY7x3onQtOwXq4B0w7Rl15K1caNOIuK0JqUsCarWKOdiqwsKi+/rI1C8ettTdOaFZcmpabptb0/aFF4mmg9UQuCgNtsoqETYbG+Iu2mW6hdcKrnM1DVVn4zLf4zmtr0XvV+eT3b5Uu+oWLpsg4pLKqq8cNrG9m7oRpN83wWOoObzJlxjDt5CEaLDtXZQOGTp6AagqnXDUeNm0Cij6832mrky5un89nmQn7aVcrWQ9VIgsCwmEBumzeEucMiu+XjZAqqRkofe8T9DpuLn55bTV6um5gImZnXjCAhIxzhN1bTy8/xiaA13S0HOLW1tVitVmpqaggK6l8lzSsK6/nkrR048+tRZYHgjBCmz4wnOSMMQRSwN7gwmOQ+uaks3vAtaCpnTVjQq+Pavn4T24ofCX/4jV4dty+xlZWx9rrrmP3pp7067sb33iN/927CwsOZfVMfOCJ3kZyXXsRRUsyI++4/5rF7NhTz3f92MHJ2BKlj47HVOtm1Op/92+sRBY2UkO1kqB8Tq9+O9EBlzwvfQzT+NRUkb2ZfrbXSDvVKMEtqbqRRCGPGhUMYOiu5XzqA+/Hzazo6f/stLL1AWGwA190xkdryRjauLmT72mK+/s9WDIkWJJ2ILbcOLUjHpX8eS3BU7zooqjY71s2rqc/NwZ5fiDEt2bM8JMkgSl4fDsnrr+Fpb2rz7Jeh6RhJ8uwXJZDlVvtb9SXpQJJQK4oQDB3PSXE8IAgCxj5Ylvli926mBAYybObMXh+7O9QVF3qW+zqA6l0OjB8aRdQgK5IsMnhcFLZaJ+sXbyR/fQJ73Q9gEOpIfuYnUqZnkDwqsktVnvsS0//lttuuKCrf/+07NJOb8+6aTkgv30f8+OkN/ApLLxIUbmL26amccFoK234pZPm7u5v3CbUuDu2r7XWFxXSgDmvWPpxpddi25CG6azz+IKrS4huiekz1mve9x4yvtuxviqJRFO+22rIEoLYy9astywCNB+owju5aSvUBi+YNTeplxhuN5B0q4KSRA6umk2pvRGcN7tCxKaOjCIrYxdcvbAM0RElF1msYzQLWCBPjzh1HRFII+9bsIS+rlN3/3UGAeTMzLxnBoHHxPXodvcH+LaVUVes5/64pfmXFz3GLX2HpAwRBIG1cZBuFZfgZyWROiD7KWT2EJuOYdzahF59Pb5ZSLHnsMZSq6l4csR+gKGi97NxsKy8np7KSwbG+zxLb0xgkHeaojsmtM0hc8sBsSvfXUpJXSUONjYaaRuorbVQU2ji4K4/0yUHMvXI8ky+CsgO1rHt/HV+/nMPwzfuZftUUpAFmbWlN5b5CjHonEUnWvhbFj58ew6+w9AKaprF5VSG7dlSgaRpDh4SSvbEEAFUvcv7t44hKCDxGLz0km8OBENb7VZ/VunrEgN/Wk6DWBwpLXWkptWYzmePG9eq4vkBQFDRJorrUhtupYrTIWKyGdn29KgrrKdxdgaSTsARbCI4KQtZ7nJX3byti07dF6PQtqeQjEoM45fY5bP9xD8s/OoAlZAvjzxm4Fj/VrSEKx4U7oh8/R8SvsPQCm1cVsvqt3RBtRADWbKpAMYic/PvhpI2M6DMP/pXf/4Tu40WId97V62Pbd+zAMu34yxujKAr22loEt9ubU6cFe2mpxw+oFwlLSSHG6eSdpUu578QTe3Xs7qBpGoXuFPJXhqKsWtPcLukU0idGMG5BOkHhJhRF5YunV1OQ4zhyZ4JKyuggpp03vG2zIDB0ZiqrP83H0WDvqUvpFYJiQrE5anA2utGb/Ld1P8cn/m+2j2mocbBvZyUHC+twuzV0OpG9q4vRQvTcdL+nJlBlUQN6o0xAiKFPZS1buZqo++5j8uQJvT62IzeXuGee6fVxe5qVF1+CsboaNSQE+HUgh0DArN51fM1bvpwivR69w8Hrd93F6VdfTVhaWq/K0BXyNxWzty6NhMEio04ZgcEs01jnZPeafHatKWPHqnKGTQkDJApy7My6eDBDJ8cjiAIuh4LLoaC4VFRVIyDEcMRUAjt+3oPLLZF5ctdzo/QHotIigXyK8mpIyvxtZ7z2c/ziV1h8SHWJjbf/sQZBAcUiIcgiQr0bQdGwxJj5avjcSQAAJ5ZJREFUz32ryJwSzewFKX0tKgCa201oQN+UhRctFvQD0K/iaDhtNiK2bCFh5QoCwvrHpDFk/nyuj43FGh3NY//5D8++8w4AJ+j1nHD33X0s3ZGRDJ5bU0CACUGA4Egz0YOsDBoZgcuhsHrxDrYtK0HTBIbPDGP4zKSWc2WxuU7Xsdi9PJeUNAPBkQM7Yi04yoxedlKRV+pXWPwct/gVFh/iaHQjKBA4KBC3QaSh0IageBYF6ivtiA6VbV/vZ+oJiRj6g9nW5UKn85eI9wUHlv9CxW23IV1zdb9RVpqIHe5ZCrn//vtRVZU37/4bWxsbOaFvxToqiZnhTDwxnM1Li9m5ZQsAwWYnUy8ewaDxccy8cASTFw5DVbQOKyft4XKBOXjgF/irr3LgdOswW/vWauvHT0/SD2bN44eo5CBS5yewd2MJequexDHhpKUEE5tsRdZLvPbQWkS9iKzvH9EImtuNrg+ynx4nuQqbqcrNpeiOOxi66EOsg/qoJEAH+e/dd2MTRK6+6Y99LcpREQSBCeePZPy5I6gpa6Qkt5J1i3aw/M1sBo33FBb0RcboqEQz+3fUoqnagM0G63YqvHn3Kgw6N8njEvpaHD9+eoz+MXMeR5x8dho3PTSd6/86kfmnp2IyySz9YR+v/mMNaHDF7RP6Tfhkha0RTe4DnVVRen/MbuK02VCPIPeu554j7KYb+72yAnDmJZegd7torBwY2V4FUSAowoTqUmhsVIlK8O3SzbCTRlPbYGTbj3sHrCKds/ogAPOvG90ta5MfP/0dv4WlmxzKrea7L3Kxldu9NVHwJE1TNKQ6NwCqWSJpQiSz5yf3uaNtG9zuPlkSUp3OPim22FV2f/wxNU89jRpsRTWbGfXEE5ijo1GcThpragj++hsO7NrN4EsuOWIfaqMbe04V7jIbmqohhxgxDglB6kUTvqZp/PjWWzRIEi998gl/HzHiiP5LqqZid9sxykZEoef+r+wNLhrrnLidKm6n4nl1KbjsbuoKq6jcV8Gh3AZsbj0J8QZOuGGKT8ePGRxMxhgdyz8+yLYf9zB4XDQJ41KJTAocMFlw96/LITrSTeLIqL4WxY+fHqVTCssLL7zACy+8wL59+wDIzMzkvvvuY8ECTx2a+vp67rzzTj799FMqKipITk7m5ptv5g9/+MNR+/3444+59957yc3NJTU1lYceeoizzjqra1fUy3z25g4osROcZsVd78JtVwhKCsQcbiQlMYi4lGCCwo0+cWytqlpHQeG71NRk4XbXoNMFY7WOJT7uUqzWzueQCBc0Aoy9vySEy4WmaTiLikDTEM1m5ODgo56iaRpL9i3h072fsqtyFzaXjTBTGBOiJ3DpsEtJD03vMXGrn3yS4D/cQPolF7Pv++/Jvv53IIpoOhlRp0OcMYOw2Ngjnl+/soCab/ehOVXEAB2CJKDUOkGAgMmxWE8dhNALk+NPTz/DXrOZP156KWGDDy8UqWka3+R/wwe7PyC7PBuX6kIv6hkVOYoL0y9kXtI8nzloa5rGksd/IS/XxZGy/0ooBBjdJKUHkXn6cKKSfZ8UTRAEZv9uBkN2VZD91SaylpWx7sdqAGITROb8bhJB4Safj+srNFWj4IDKyBl+ZcXP8U+nih9+8cUXSJLEYO/N7o033uCxxx5j8+bNZGZmct111/Hzzz/zv//9j+TkZL777jtuuOEGPv74Y84888x2+1y9ejUzZszgwQcf5KyzzmLx4sXcd999rFixgkmTJnX4Qvqq+OGXi3az78eCw265l/1zik9vdPn5z5KX/xQWSxphoTPR6cNwOsupqFiKzZZH2uC7SUy8plN9fnrldSx44VkMpq47HdY56/g452NWFa6i2FaMTtSRFpLGguQFzIyf2e4Epzoc5J1xpmdpSAB3eQVDN2864hiqpnLH8jtYsm8JE6MnMj56PIG6QIoaivjxwI8UNxTzyIxHWDDItwUcS7OzqTjvfAAGrV+HMbDzyf1s2WVUvrMLy5QYgk5IaLaoqI1uGtYXU/N1PoGzE7CelOxL0dvl4OrVvPLttwCMAs66//42+/+55p98sPsDpsZOZUbcDEKMIVQ0VrD80HLWFq/l8ozLuX3C7T6RpXBPFYv/vZnx82JJGBmNrBeR9ZLnVed51RmkXo9gUxWV0v11rHovi6KDCqKgkJikkjg2mYRRCVgjTf2qoGDepiK++e9OFt46mrj03k8A6cePL+jo/N3tas2hoaE89thjXHPNNQwfPpwLLriAe++9t3n/uHHjOOWUU3jwwQfbPf+CCy6gtraWb775prnt5JNPJiQkhPfee6/DcvRlteb6Kjv7sitY5k21HzUpkoWXDkPWST7p32bLZ/WauQxK/iODBt3S5oapaSq7d99HQeF7jB/3MVbr6A73+9mlV3L6m68idnF5Zm/VXn73/e+odlQzOXYySUFJONwOtpZvZVflLuYlzeP/Zv4fsnh0Q17OtOkMWbniiPuXHVzGTT/dxGOzHuPk5JPb7HOpLq5ecjVZZVksu2AZocbu37Q1TUMQBNbdfjvSTz9jbmgg5L13iR7TeStWxXu7UCrtRN44ut39h+78BYD4R2d0R+Sjkv/LCoRGG8nz5/P+P/9JXYON82+8AWt8Sw2dnKoczvn8HP426W9cOPTCw/p4Lus5XtzyIi/MfYHpcdO7LdOe9cV898oOrn1iBgZz//S7cDkVtn27k/2bDlBUrEfVRAJMduJTjMSMSsUSGoDbqVB9oIiK/FJstS7cbg1FAbNFJDDMRGB0CGEpMcQPDUPW++Z+AFBZ2MC2b7LYtr6RhEECp95+IuIAdRr246fHqzUrisKiRYtoaGhgyhTPuvL06dP5/PPPufrqq4mNjWXp0qXk5OTw9NNPH7Gf1atXc+utt7ZpO+mkk3jqqaeOOr7D4cDhaMluWVtb29VL6TYBIUbyi+sBuPJf07D42C+hsfEQAJGRpxz2dCcIIiGhUykofI+qqlWdUlgETeuysgLwwOoHCDIE8c6p7xBtaVsH6Yf9P3Dr0lt5dN2j3DP5ni6PAVDcUIwsyEyPPXyi1Ik6EoMSySrLoqihyCcKy4YrryJg7Vq0xEQGv/sOYkAAgXFxXepLDjVi31mJ81Ad+vi2Fhp3zVGys3YDe4OLwj3VOO1u1Jr9fLb0a2INevZu3058VBQ/FBQQGNV2CaHGUQNAZlhmu32mWD25g3Krc32isNQVViGiIBt8N4n7Gp1eYszpwxlz+nCcdjeFu6s4tHkPh3ZXsWt7S9VkvewiLEwhwKpD0ktIsoit1kHJgQb2bnfgWFKBLLmJS4DkyekMPyGp3fFcDoWaMht15XYaymtoKK/CVlWPvc6JpmkoiobTrmKzCdTWGzHqnUw6OZYxpw/3Kyt+fhN0WmHJzs5mypQp2O12AgICWLx4MRkZGQA888wzXHfddcTHxyPLMqIo8r///Y/p0498gysuLibqVzfPqKgoiouLjyrHI488wgMPPNBZ8XuMiZNj2Le0gKXf5HPqhUN92ndw8DgMhmi2bb+ZIWn3Ehw8CVGUUVUXlVUryc19HJMxkcTEa3067rHYW72XKzKvOExZAZiTOAeAD3Z/0G2FZVbCLJ7Y+AS/++F33DbuNkZFjEIWZeqd9Xy//3uWHVrG1NipR5xsO4qtrIycF15EyM+n8fzzGHPnnejN3YtKCZwVj31PFaXPZWFIC0EfF4AgCbhKbdh3ViIF6Qm/bkS3xmiodnBgVzm5W4ooyavDXtPWaBrGNCJTA1G0reTn5xMjCCgOB2Irh+vREaNJsabwp5//xE1jbmJG/AxCjaHNS0LPbH6GoaFDuWTYkR2LO4Pb7kIW1H4TMXcs9EaZ5FERJI+KADzWF0eDC1knYbDIR1wm0jSN6hIb+evyWP11Gfv35dJQ7WTSwpZsw7XlNpa+9AsFh0RUzaPAiYKKyeDEbNEwmUUEUUCSBYIjjEQFGokZPojkUdFIuoHx+fnx4ws6rbCkp6eTlZVFdXU1H3/8MVdccQXLli0jIyODZ555hjVr1vD555+TlJTE8uXLueGGG4iJiWHu3LlH7PPXP/Ymk/zRuOuuu7jtttua39fW1pKQ0Hc5CKISgxh5WjLZn+9j3+gIkof6LnmYJJkZPfp1dmz/M5uzLkcUDejkYFzuKlTVSVDQGDIz/o0odtKBtguLgW6XQsHuKhrrnMyxnMKb294kOSiZOUlz0ImeCbDSXsnzWc8D8Nyc5zo/yK+ItkTz3/n/5d6V93LlkivRiTpMsok6Zx0aGvOT5nPflPu63H/p1q3kPf0MlJZiPuN0Rn3/HTqDb6xkolEm8vejaNhYQmN2ObZNJWiqx/ISODuBgMkxiF1cEqkqbmDpB9sp3Omx7ukDIWpQACkjYkjKjMBglinOqyHnpxx2b2skIjyTSx+6sd3flk7S8fL8l3lwzYPct6rtZykgMDdpLn+b9LdjLu91FFNYIE6tbMDmP9HpJXQdWOIRBIGQaAshZ4xg1AKVF/+4lE3f7icpM4zoNI81cM07qykvVZm2MJnItGgCw4yYA/UD8nPx46cn6fTdR6/XNzvdjh8/nvXr1/P000/z1FNPcffdd7N48WJOPfVUAEaOHElWVhaPP/74ERWW6Ojo/2/vzqObuq79gX/v1eRR8iAJzzOeMQYzhoAJU0oehSZk5ZeWhjS8Xwq0NHnrvbTvpW2a1ZXyaMaV1f7yWykNGWh4kLQNCZkAmxLA4ICxAQ94wGDwCPKAbdmSNd39/nBxUDwLGQuxP2v5D6Sro3M3G+72ueecO2g0xWAwDBp1+TaVSgWVmy4q7jI3NxpleQ04Wdji1oIFAAL8p2L27E/Q3X0OXd1nYLd1/3OV0AwEBg6/PNWdqo9cwvG/1cJs60+bcCzAo/4x+IXtP+Gr8EFkYCSsDisajA1Qikr8au6vsChq5GfnkCQBY+j7dN10fLzmY5S2luJ8+3mY7WaE+oZi1pRZiAqMGvXzQznzu62wFJ4AgoIRtWkjohZOzDwSQS4iYG44Aua651EEvV0WfLWnApfPXIfMhzD/4QSkzomCn3pwwRqTHoqY9PmIO9mIA+/UoCL/EjKXJw7Zrt5Pjz8u+SOu9l5FeVs5uq3d0Cg1yNJlQeenc0vfb/AN9gMgwGK23zV7h8gUIp58fRE+e+kf2PtaMWYt1WH6qkzYLA6EaglZ90/cSjfGvMEt/7pERLBYLLDZbLDZbIPmRMhkMkiSNOzn58+fj7y8PKd5LAcPHsQ999xzq127LRw2CTt+fwoWgxmirX/IImOadkK+SxAEaDTZ45qn4i4Wsx2Hdl9CkFrEA/+eg5Bwf5R8WYfiA8DLwTvQOKUCV9EIpUyJpKAkLI5ejGCf4FHblXp7IcjGNo9BFERk67ORrc++pXOx9/XBZjbD5/33Mf18xS3N47mdSCKUHWvAsd21EJUSZq6Kxpz7p47ptkDinEgkn2zAkb9fQZ/Zjlmrh784hvmHDXmbz500uv5bbecPXcKM7yZ71MqbiaT0kWPNs8tw6m8lOH2oDUX5X4EgR3L63VG0MXYrxlWw/PKXv8TKlSsRHR0No9GIPXv24KuvvsL+/fuhVquRm5uLn//85/D19UVsbCyOHDmCnTt34rXXXhtoY/369YiMjMS2bdsAAE8//TQWLVqEF198EWvWrMEnn3yC/Px8FBQMv2rEk9htDtiaTNDGBWLGkmiExanv+AepfZvN6kDhX6tAELFkUw7C4vv3w5BJVgBA7ZfdAKKREBCGpZtnQ584tomvkkRoPNuMmpBc1Pz+CHqvdcJhJ0CpglwuQKP3Q0i8FqFJOoQnBMEn4Nb/U6/59FN0/PH/Qd3QgB4Pe+bPUBw2CVfrunDxXAsuFF9DXydBG+eL1T/NgW/g2G8BCoKAZT+bh8YtX+LkF02YEh+M6Gn6Cez5yHQxgcjI9kfhF024XNyE1b/KdesqGk8mU4iY//1ZyFhhRkNpC2QKEUlzeEt9xkYzroLl2rVreOyxx9DS0gKNRoOsrCzs378fy5cvBwDs2bMHzz77LNatW4eOjg7ExsZi69at2LRp00Ab9fX1Tr/R3nPPPdizZw9+/etf47nnnkNiYiI++OCDce3BcjsZO8zY92E1Oi4b4av1wYrvJgIC0N5tQdIM3S0tZe653ofm2k5IBARpfREaGQDFBK6ioDH8UutwSNj+1BEAgEIB6KK/Wekye20GZnw3FSajFYba6yh4/xy+fr8Eq58ffr4SAHS09KJ0Xzkulnaiz6GASj8Hmo5e+AXIIVcpIPr6wNZnR1tTLy5dsMBxsP+WocbHgpQFUchekz6m+QNO31lZiZpfPweZTof0d96G2sVVP+5CROhqNaOppgP11QZcKuoEAKjUgGQnSA5AcgDkAEACBDlBF++L72xIRWSyayuhBEHAY6/fj0+3HsFnb5zDig1pSJzj2u00d1i8aS6mHGvAP3ZdQHVBAzKWxE1aXyaDOtQXGfd5xpPbGbsT3PI+LJ7idu3D8o/PLqLysytDvvcvP81CTHrIuLf0tphs+OzDarR8bXDagE5SiUi4JxzLVidOyNOdP1n3ONbsem/EYy6casbBt6vg5y9i/YuLIJMPf24HXj2KSzUWREfLED0rGlFZ4QgJ94cgCCAiNJ5vw+kPzqHZIEIl2pCUpUHK8lSExWuGnWBIRDC296HpfCsuHLuEhnoHFKIdqbNCMX11BjS60TfnMzW3oHT9esS+/BLCXdhLxV16Oy2oONGAyxUGdDSa4bD0n7MyEIBDhCgXEJmm7p/QqZJDoZLD10+JyKmhCI0KcNvSVYdNwv7XCnD5khVzV4Qh56GMEW/JdF4zwdjRB5lcgH+QCv5BqhEL86aqdpx4rxjd3RIEAIJA8FEBGq0KgfoAKHwUaL98Ha1XLei1qSBAwkPP5CAsafRbiIwx7zPh+7DcLWxWBwoOXoa5z4HEBA3m3huFlgYjOuq6IXbbnY79/I1SJCyLwsqHk8fc/vmSa8jfVQVYJeQ8mICZCyIgk4noajPj6+NNuFjQjIaqDjz+HznwDXDfNvpEBAH9F9G2ph6o/OTQx6oHXRS1MRrIYIc6QI6uVjNCwv2HbTN343yE7K/GxZONOP7xFdDHDfBTWBEe4wtDoxlGixJBfnYs+X4qku+JGdPcC0EQoNb6Qr0oBmmLYtDVasa5j8tQdbodZUWF0Kj6oAmWwT88BFMyIhCdGjJoh2FTSzOklJRJKVZIIlypaMOp/RfQeskMCECgXo6pc3RIyAxHeFLQbZ90KlOIWPnzhSj8yxmczDPg2oUOLN4812n/IIvJhguFjag4UIO27sH981dYsXTjDERnOk+OrytpwRfbKxESSEibpwcIkOwOmDpMuG4ww9DcDptDhCaAEJcehIjsGERl6IacMMwYYzfjEZZRlJ1oxtGdVQN/dviI0GWGIDoqEGE6f/T1WGHstsLSZ8e1xh60VXdi7X/NQljcyH0wdvRh7/vnYTzfiYBUDdY+noGA4MFb5BsajNjzWglAhKQF4bj/oalj2ruiq9WEjpZeGFrNaO0wg4igDlTCVyVHa7sZV5t7gJKL6PP9ZoKwSrQhd10qpi5w3tjqcnEz8t8ug8WhQFioHdO/l4mEmWEjjiTZLA60XOzE+S8q0NHcC11MAJKXpCBmms4tEyxtVgcuFTXj8qkG9LT1wtRtQbfVBxBEBCitiM0IRsqyFIQlaHCtoAB1e/di/k1zqW4Hh13C3179Gm11ffAJEpC9JBaZC2MmZLTMVdXHruDY7io4JAFR0XLoU/RorriG5hYJEkSEayVkrcmAPj4YDruEnk4LjK29OP33SigVEh592Xnn4a/+/wlcOm/EE39YwctyGWNjwiMsbpKcrcPRfZdAnVb46H0QGqdGU10X2s62Q7R/U+uRAAj//KOxqw9hGD7oRISdL5+Gw+rA4sdTMW1e+LAXcX10IDb8Zi6+/KAadYea8HGnFcsfSoKPvwIKpczpomDusaKyxICTRxohNZn6v0sEpIB/bmxldkCwSZAC5FBpfRB9TyymZkdjSmIwejotOLy9GMd2Vw4qWOJyIvBEVhgufN2Ic59W4sCOKvi+V4r7Hs9E/Oyh50AoVLJ/LqkdeVmzqxRKGVIWRCNlwTeTFft6bWg834q6glpcLL2OijMlCFBZER9tgUx5+ydCGy53o62uD3PXxCPnO3EeuRImZWEsYmdG4MxH5bhSeg2Nh5qh9pcw94E4JC+MH/R08eAwf7SIQG+fgLhpgyctByfo0FdqAmG4RxoyxphruGAZhcpPgY0vzEfp1y0o+OgibPXd2PjcPIiiAIvJDrlChEwpwmGT0HC+Axq9L7RRIz8kT5II1GlFxtIoZM0f/im/NwQE++DhjVk4tO8iKg824C/Frd+0JRf6rwwSIDoIBMAnKRD3/t90RCUGw1/jvAHVcJvyGQ09MHY7EJ8cMGQfZAoRqQtjkLowBob6bvz1v0/j6F/Khi1YJoOPvwJJsyOQNDsCkkRorm7Hub1lKL8gB4SF6H3vLGYuTURoZMBtKR50sYEQZASbzeaRxcoNPv4KzH9sBuaP4dhOgwmfv34K2hA5FqzPGfS+b2ggCCKsd9H+Koyx24MLljGQK2SYuTAK0XEa7HnxND56pxyPPJnldN9dJhOROHNsy0RlMhGxi8JRld+IxqYePLgubdQnOwuCgGVrknDv0lhcreuCxWyHqc8Ok7l/Ho0oCghWqxCdGjzis4yGunDWl13DF2+cg04vw5Kfjn7Z6moxAgB0cUGjHjtZRFFAVJoWUWn3wdjRh6L9taguvIYLhR1QBgJJOXpMuzcOoZH+E1ZMdLWaQQ7AX+3607A9CRHhy5cLoJADq365yGkOEhHhWl0XSj6qgIjh911ijDFX8RyWcTpb2Izj71WBQlUITVAjPlaN6Bg1dDGBUPqMvf4jIlScuorDf70AmB1IXRaF+1YluO0Jz+Pxt2cPwGwR8P0Xl476/Q1lBux7oxxKmR3/+odl414RNZkcdgn1le0oPVqH5iojJJsAhT+gTwhAaFgAgnSBUIf6wV+jhG+gEg6bBN9ApctLy//6aiGuN5ux4fe5k/L36m7WPjv+/G9HkbVQj2nLEmCzOnC9yYiGU3W4UmOE2a6Ej9yG+zfPRFSGe3fGZYx5L57D4mYOu4ROgwkpmVpo/2MGvvpHPTrqjWgrbkWx1H9rZvHjaZg2e2w7hAqCgMy54UiersOhTy+i5kADOtrM+D9PZk3wmQwmkwsgM8FhkwZdWIkIVrMd7U09KP2kHBdrbZgSKmHlL3LvqGIFAGRyEfHTdIifpoPDLuFKRRuqihpw9VI3WqqNkKxDPHBTJESmBeI7T8wY18Z1bY1GGC6Yce+jiV5RrAD9u7QmJStResyA0mOGgdcDlFbEp2kwdVkKIqYG85ODGWMTgkdYxqDxYif2vnEOosnR/8IUH0SkBEMdqIRMAC6XtaP3Sg+CZoZi3Y+nu/QdeX+/gKrDjdj4ysJxjdS4Q0t1G/a9XgIHiVCIDshFglxGkCTAbJPDgf4Lrkpmw9zVCchckeTRczJc5bBLMHVb0dtpgbnHBrlcRGNtK87mNUKuEvDQv89BaMTQc3xuJkmE3VuPo7fTin99afEd80TisSAiXG8xoa/XClEuIkjn55YdiBljdy8eYXGjyoo2iCYHguMDkTY3DOWV7WgsbYPQaRtYCeEf5Y/vPZLq8ndMm6lHTV4DGquvI2H67R1OD0/R4ofbclH7dT0sXWZYTRbYzTaIChkC9GoEhAUhODwAoZH+d9yoynjI5CICQ3wQGPLNnJPo9BCkz4/G3189iQ+3ncTDv5gNXfTIBfHxj6rR2WTFksdTvKpYAfpHBkMi/AEMvx8PY4xNBB5hGQOHTcKhzy6iOq8BkAnwS1DD2muDo8kEgTCwhFNQilDE+EPlp0BycjBSp+mg0fsOOxpRV96Gs+cMaL7QCbrWB1KJeOL5eUPux8ImV1+vDf/zuwIIMgFP/G7xkMf0dllQkn8JpfnNiM0OwqqNg1fRMMYYczbW6zcXLONg7OhD4ZEGXL7YCaVKjqzpOkzN1MJfo8SHO8ph7LZAphBhMdpgbzZBlABJLYcuORg5s6Ygafo3m6aVHGlE4e4aSP4yBE8NQkZ6KJKzdPAPGn6FD5tcNUUtyNtRibnfi0Nsug5ypQhzjw3tzUac/7oebXV9gAAkz9Ni6bppXj0axRhj7sIFyySz9tnReKGzfwSl8jqEdgtU8QHIXRYLU68NR/fUIDgtGOt+ms07gt4hJInw8R9OoaWqB87bohH8QkVkLY5F5oJoqPx4TgdjjI0VFywepuasAXkfXQAMFgCAf7Iajz01c8SHCTLPZO2zo6OlF5KDoPKVQ6PzhXycT49mjDHWjyfdepjkbD2Ss/Xo7bJAJheh8pN75Uqbu4HSR46weM1kd4Mxxu4qXLDcZiPtQssYY4yxofH9CMYYY4x5PC5YGGOMMebxuGBhjDHGmMfjgoUxxhhjHo8LFsYYY4x5PC5YGGOMMebxuGBhjDHGmMfjgoUxxhhjHo8LFsYYY4x5PC5YGGOMMebxuGBhjDHGmMfjgoUxxhhjHo8LFsYYY4x5PK95WjMRAQC6u7snuSeMMcYYG6sb1+0b1/HheE3BYjQaAQDR0dGT3BPGGGOMjZfRaIRGoxn2fYFGK2nuEJIkobm5GYGBgRAEYbK7g+7ubkRHR6OhoQFqtXqyuzPpOB7OOB7OOB7OOB7OOB7OvC0eRASj0YiIiAiI4vAzVbxmhEUURURFRU12NwZRq9VekVDuwvFwxvFwxvFwxvFwxvFw5k3xGGlk5QaedMsYY4wxj8cFC2OMMcY8HhcsE0SlUuH555+HSqWa7K54BI6HM46HM46HM46HM46Hs7s1Hl4z6ZYxxhhj3otHWBhjjDHm8bhgYYwxxpjH44KFMcYYYx6PCxbGGGOMeTwuWFxUU1ODNWvWQKvVQq1WY8GCBTh8+LDTMUVFRVi6dCmCgoIQHByMFStW4OzZsyO2a7FY8LOf/QxarRb+/v5YvXo1GhsbJ/BM3GO0eLz77rsQBGHIH4PBMGy7ixcvHnT8o48+ejtO6ZZMVDy8NT9uePfdd5GVlQUfHx+EhYVhy5YtI7brrflxw3jj4c35MdS/lTfffHPEdr05P1yJx52aHwOIuSQpKYkeeOABOnfuHNXU1NBPfvIT8vPzo5aWFiIi6u7upuDgYPrRj35EVVVVVF5eTmvXriW9Xk9Wq3XYdjdt2kSRkZGUl5dHJSUldN9999H06dPJbrffrlNzyWjxMJlM1NLS4vRz//33U25u7ojt5ubm0pNPPun0uc7OzttwRrdmouLhrflBRPTqq69SREQE7dq1i2pra6m8vJz27ds3Yrvemh9ErsXDm/MDAL3zzjtOf9cmk2nEdr05P1yJx52aHzdwweKC1tZWAkBHjx4deK27u5sAUH5+PhERFRUVEQCqr68fOKa0tJQAUG1t7ZDtdnZ2kkKhoD179gy81tTURKIo0v79+yfobG7dWOLxbQaDgRQKBe3cuXPEtnNzc+npp592Z3cn3ETFw5vzo6Ojg3x9fYeNz3C8NT9ciYc35wdR/wV6796942rbW/ODaPzxuFPz42Z8S8gFoaGhSEtLw86dO9Hb2wu73Y4//elPmDJlCnJycgAAKSkp0Gq12LFjB6xWK8xmM3bs2IGMjAzExsYO2W5xcTFsNhtWrFgx8FpERAQyMzNx4sSJ23JurhhLPL5t586d8PPzw8MPPzxq+7t27YJWq0VGRgaeeeaZgSdze6qJioc350deXh4kSUJTUxPS0tIQFRWFRx55BA0NDaO274354Uo8vDk/btiyZQu0Wi1mz56NN998E5Ikjdq+N+bHDeOJx52aH04mu2K6UzU2NlJOTg4JgkAymYwiIiLozJkzTseUl5dTYmIiiaJIoihSamoqXblyZdg2d+3aRUqlctDry5cvpx//+MfuPgW3Gks8bpaenk6bN28etd3t27dTXl4elZWV0e7duykuLo6WLVvmxp5PjImIhzfnx7Zt20ihUFBKSgrt37+fCgsLaenSpZSSkkIWi2XYdr01P1yJhzfnBxHRCy+8QCdOnKAzZ87QK6+8Qn5+fvTCCy+M2K635gfR+ONxJ+fHDVyw3OT5558nACP+FBUVkSRJtHr1alq5ciUVFBRQcXExbd68mSIjI6m5uZmI+ucozJkzh9avX0+nTp2iwsJCWrt2LWVkZAx7n3G4hFq2bBlt3LhxQs99KO6Mx81OnDhBAOj06dPj7tPp06cJABUXF7vjFMdlsuPhzfmxdetWAkAHDhwYaN9gMIx7uNpb8sOVeHhzfgzllVdeIbVaPa4+eUt+DGW0eHhafriCC5abtLa2UmVl5Yg/ZrOZ8vPzSRRF6urqcvp8UlISbdu2jYiI3nrrLdLr9eRwOAbet1gs5OfnR7t37x7y+w8dOkQAqKOjw+n1rKws+s1vfuPmsx2dO+Nxsw0bNlB2drZLfZIkadB92NtlsuPhzfnx9ttvEwBqaGhwOkav19P27dvH3CdvyQ9X4uHN+TGUgoICAkBXr14dc5+8JT+GMlo8PC0/XCG/hbtJXker1UKr1Y56nMlkAgCIovMUIFEUB+4hmkwmiKIIQRCc3hcEYdj7jDk5OVAoFMjLy8MjjzwCAGhpaUF5eTleeukll87pVrgzHjf09PTgww8/xLZt21zqU0VFBWw2G8LDw136/K2Y7Hh4c34sWLAAAFBdXY2oqCgAQEdHB9ra2oad8zUUb8kPV+LhzfkxlDNnzsDHxwdBQUFj7pO35MdQRouHp+WHSya7YroTtba2UmhoKD300EN09uxZqq6upmeeeYYUCgWdPXuWiIgqKytJpVLR5s2b6fz581ReXk4//OEPSaPRDAzrNTY2UkpKCp08eXKg7U2bNlFUVBTl5+dTSUkJLVmyxOOXnY0lHje89dZb5OPjM6jKJxocj9raWvrtb39LRUVFVFdXR59//jmlpqbSjBkz7sp4EHl3fqxZs4YyMjLo+PHjVFZWRqtWraL09PSBbQDutvwYbzyIvDc/9u3bR9u3b6eysjKqra2lP//5z6RWq+mpp54aaOduyg9X4kF0Z+bHzbhgcVFRURGtWLGCQkJCKDAwkObNm0dffPGF0zEHDx6kBQsWkEajoeDgYFqyZAkVFhYOvF9XV0cA6PDhwwOvmc1m2rJlC4WEhJCvry+tWrXKaWm0pxpLPIiI5s+fTz/4wQ+GbOPb8aivr6dFixZRSEgIKZVKSkxMpKeeeora29sn8lTcYiLiQeTd+dHV1UUbNmygoKAgCgkJoQcffNDp3O62/BhvPIi8Nz++/PJLys7OpoCAAPLz86PMzEx6/fXXyWazDRxzN+WHK/EgunPz4waBiGgSB3gYY4wxxkbF+7AwxhhjzONxwcIYY4wxj8cFC2OMMcY8HhcsjDHGGPN4XLAwxhhjzONxwcIYY4wxj8cFC2OMMcY8HhcsjDHGGPN4XLAwxhhjzONxwcIYY4wxj8cFC2OMMcY8HhcsjDHGGPN4/wtalexMxYfJHAAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"computing all county centerpoints, then plot them\")\n",
    "countyCP  = list()\n",
    "cutCountyList = list()\n",
    "for c in range(nCounties):\n",
    "    cTL = countyTractList[c]\n",
    "    countyCP.append(getHDcp( [tractCP[v] for v in cTL], [tractPop[v] for v in cTL], [i for i in range(len(cTL) ) ] ) )\n",
    "    if countyCP[c].disjoint(countyGeom[c]):  #possible with weird-shaped county\n",
    "        countyCP[c] = nearest_points(countyGeom[c],countyCP[c])[0]\n",
    "    plotPoly(countyCP[c].buffer(0.03))\n",
    "    plotPoly(countyGeom[c],0.5)\n",
    "plotPoly(MAP)\n",
    "plt.show()   \n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "207f3a55-e361-4777-ae46-41fe3d54a4b8",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "This code block identifies whole districts to be cut out of the map\n",
      "For IN my input file says to cut out 0 districts out of 9\n",
      "here are your cut districts\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# updated NCUTDISTRICTS (district slice-out) code vs. vanillaRefine - this WORKS\n",
    "print(\"This code block identifies whole districts to be cut out of the map\")\n",
    "unclippedMAP = MAP\n",
    "trimDF = pd.read_csv(\"state_map_files/cutNclipPolyLists.csv\")\n",
    "stateRows = trimDF[\"state\"].to_list()\n",
    "DFrow = stateRows.index(STATE)\n",
    "nClips = trimDF[\"nClipPoly\"][DFrow]\n",
    "nCuts  = trimDF[\"nCutPoly\"][DFrow]\n",
    "nCutDistricts = nCuts\n",
    "nStops = trimDF[\"nStopLines\"][DFrow]\n",
    "nDistricts = trimDF[\"nDistricts\"][DFrow]\n",
    "stopLines = list()  #the 'stoplines' stop wedge growth that hops across concave map areas (not currently used)\n",
    "cutCountyList = list()\n",
    "allCutLists, allCutPops = list(), list()\n",
    "print(\"For\",STATE,\"my input file says to cut out\",nCuts,\"districts out of\",nDistricts)\n",
    "if nCuts > 0:\n",
    "    cutList = list()\n",
    "    cutXs = ast.literal_eval(trimDF[\"cutXs\"][DFrow])\n",
    "    cutYs = ast.literal_eval(trimDF[\"cutYs\"][DFrow])\n",
    "    cutPoints = [Point(cutXs[i],cutYs[i]) for i in range(len(cutXs)) ]\n",
    "    for cutNo in range(nCuts):\n",
    "        print(\"performing cut no\",cutNo,\"for state\",STATE)  #first two cutPoints must form the cutLine\n",
    "        cutNotDone = True\n",
    "        thisCutPoints = [ cutPoints[int(4*cutNo)],cutPoints[int(4*cutNo+1)],cutPoints[int(4*cutNo+2)],cutPoints[int(4*cutNo+3)]  ]\n",
    "        while cutNotDone:\n",
    "            cutPoly = Polygon([thisCutPoints[0],thisCutPoints[1],thisCutPoints[2],thisCutPoints[3] ])\n",
    "            cutLine = LineString([thisCutPoints[0], thisCutPoints[1] ] )\n",
    "            cutList = list()\n",
    "            cutPop = 0.\n",
    "            for c in range(nCounties):\n",
    "                if cutPoly.intersects(countyGeom[c]):\n",
    "                    if cutPoly.contains(countyGeom[c]):\n",
    "                        cutList = cutList + countyTractList[c]\n",
    "                        cutPop += countyPop[c]\n",
    "                    else:\n",
    "                        for t in countyTractList[c]:\n",
    "                            if cutPoly.contains(tractCP[t]):\n",
    "                                cutList.append(t)\n",
    "                                cutPop += tractPop[t]\n",
    "            print(\"the total proposed cutPop is\",cutPop,\". Compare to\",int(statePop/nDistricts) )\n",
    "\n",
    "            doIcut = input(\"enter 1 to apply the cut\")\n",
    "            if str(doIcut) == str(1):\n",
    "                cutNotDone = False\n",
    "                allCutLists.append(cutList)\n",
    "                allCutPops.append(cutPop)\n",
    "            else:\n",
    "                print(\"Here is the state and the last proposed cutPoly.\")\n",
    "                plotPoly(cutPoly)\n",
    "                plotPoly(MAP)\n",
    "                plt.show()\n",
    "                print(cutPoly)\n",
    "                oldPts = list(cutPoly.exterior.coords)\n",
    "                newPtXs = ast.literal_eval(input(\"enter alternate [ x0, x1 ] for the first two points\") )\n",
    "                newPtYs = ast.literal_eval(input(\"enter alternate [ y0, y1 ] for the first two points\") )\n",
    "                thisCutPoints = [Point(newPtXs[0],newPtYs[0]), Point(newPtXs[1],newPtYs[1]),oldPts[2], oldPts[3] ]\n",
    "allCutVTDs = list()\n",
    "for L in allCutLists:\n",
    "    for v in L:\n",
    "        allCutVTDs.append(v)\n",
    "print(\"here are your cut districts\")\n",
    "plotPoly(MAP)\n",
    "for i,L in enumerate(allCutLists):\n",
    "    cutGeo = tractGeom[L[0]]\n",
    "    for v in L:\n",
    "        cutGeo=cutGeo.union(tractGeom[v])\n",
    "    plotPoly(cutGeo,2)\n",
    "    plotCenter(i,cutGeo)\n",
    "    plotCenter(allCutPops[i],Point(cutGeo.centroid.x,cutGeo.centroid.y-0.5) )\n",
    "plt.show()\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 325,
   "id": "4c915415-6c44-4c43-9826-b565cebed95a",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Write the vtd cutlists to a file\n"
     ]
    }
   ],
   "source": [
    "print(\"Write the vtd cutlists to a file\")\n",
    "cutDistrictNo = list()\n",
    "for v in allCutVTDs:\n",
    "    for i,L in enumerate(allCutLists):\n",
    "        if v in L:\n",
    "            cutDistrictNo.append(i)\n",
    "            break\n",
    "nbrDF = pd.DataFrame( {\"vtdNo\":allCutVTDs,\"cutDistrictNo\":cutDistrictNo} )\n",
    "outname = STATE+\"wholeDistrictCuts.csv\" \n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "nbrDF.to_csv(outpath)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "17721728-e5c0-4787-b430-9d7d94970667",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "countyPop = [0. for c in range(nCounties)]\n",
    "for t in range(nTracts):\n",
    "    countyPop[countyNo[t]] += tractPop[t]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "02f95c46-5073-4b9d-817c-16a57d5ebb52",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "9\n"
     ]
    }
   ],
   "source": [
    "print(nDistricts)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "f3073320-8d92-45ba-beb2-fb8c08d7170d",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Removed all whole districts.  Finalize stats before skewing outcroppings.\n",
      "Of the total statePop 6785528.0 we ignore 0.0 as it is cut out of the map\n",
      "This excluded pop comes from a total of 5 tracts\n",
      "Our final adjusted number of state districts, excluded fixed cut-out is 9 rather than original 9\n",
      "Each district will be drawn to house 753947.556 = 1/ 9 of non-cutout state pop 6785528.0 vs original= 6785528.0\n",
      "Here is a county-level modified map with each county's fraction of a district pop\n",
      "working on county 0\n",
      "working on county 20\n",
      "working on county 40\n",
      "working on county 60\n",
      "working on county 80\n",
      "here is the IN map excluding cut and unpop coastal tracts\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"Removed all whole districts.  Finalize stats before skewing outcroppings.\")\n",
    "trueCountyPop = [countyPop[c] for c in range(nCounties)]\n",
    "trueCountyGeom = countyGeom.copy()\n",
    "countyPop = [0. for c in range(nCounties)]\n",
    "trueStatePop, true_nDistricts = np.sum(trueCountyPop), nDistricts\n",
    "trueCountyTractList = [list() for c in range(nCounties)]\n",
    "# minTractPop = 4.5  #already defined above\n",
    "populatedTractList = list()\n",
    "countyTractList = [list() for c in range(nCounties)]\n",
    "statePop, excludedPop = 0., 0.\n",
    "\n",
    "for t in range(nTracts):\n",
    "    trueCountyTractList[countyNo[t]].append(t)\n",
    "    if t in allCutVTDs or t in skipList:  #  or vtdPop[t] < minTractPop:  #need to keep low-pop vtds as VEST may have assigned votes to them\n",
    "        excludedPop += tractPop[t]\n",
    "    else:\n",
    "        populatedTractList.append(t)\n",
    "        countyTractList[countyNo[t]].append(t)\n",
    "        countyPop[countyNo[t]] += tractPop[t]\n",
    "        statePop += tractPop[t]\n",
    "        #tractPop[t] = max(tractPop[t],0.000001)  #avoid possible later div/zero errors for nil-vote vtds\n",
    "print(\"Of the total statePop\",statePop+excludedPop,\"we ignore\",excludedPop,\"as it is cut out of the map\") #,\n",
    "#\"or in sparsely populated areas (<\",minTractPop,\") per geom\")\n",
    "print(\"This excluded pop comes from a total of\",nTracts -len(populatedTractList),\"tracts\")\n",
    "true_nDistricts = nDistricts\n",
    "nDistricts -= nCutDistricts\n",
    "print(\"Our final adjusted number of state districts, excluded fixed cut-out is\",nDistricts,\"rather than original\",true_nDistricts)\n",
    "aDP = statePop/float(nDistricts)\n",
    "print(\"Each district will be drawn to house\",r3(aDP),\"= 1/\",nDistricts,\"of non-cutout state pop\",statePop,\"vs original=\",trueStatePop)\n",
    "print(\"Here is a county-level modified map with each county's fraction of a district pop\")\n",
    "\n",
    "vtdGeom = tractGeom.copy()\n",
    "nVTDs = len(vtdGeom)\n",
    "\n",
    "cutCountyList, uncutCountyList = list(), list()\n",
    "for c in range(nCounties):\n",
    "    if c%20 == 0:\n",
    "        print(\"working on county\",c)\n",
    "    if len(countyTractList[c]) == 0:  #no vtds added to county b/c all were in cut lists:\n",
    "        cutCountyList.append(c)\n",
    "    else:\n",
    "        uncutCountyList.append(c)\n",
    "        countyGeom[c] = tractGeom[countyTractList[c][0]]\n",
    "        for t in countyTractList[c]:\n",
    "            countyGeom[c] = countyGeom[c].union(tractGeom[t])\n",
    "uncutMAP = MAP\n",
    "MAP = countyGeom[uncutCountyList[0]]\n",
    "for c in uncutCountyList:\n",
    "    MAP = MAP.union(countyGeom[c])\n",
    "print(\"here is the\",STATE,\"map excluding cut and unpop coastal tracts\")\n",
    "\n",
    "for c in uncutCountyList:\n",
    "    plotPoly(countyGeom[c])\n",
    "    FONTSIZE = 12\n",
    "    if countyPop[c] / statePop < 0.02:\n",
    "        FONTSIZE = 7\n",
    "        plotCenter(r3(countyPop[c]/aDP),countyGeom[c], FONTSIZE)\n",
    "    else:\n",
    "        plotCenter(round(countyPop[c]/aDP,2),countyGeom[c], FONTSIZE)\n",
    "plotPoly(trueMAP,0.1)\n",
    "for c in cutCountyList:\n",
    "    plotPoly(countyGeom[c],0.2)\n",
    "    plotCenter(\"cut\",countyGeom[c],6)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "0062ac21-3328-4616-99ed-70c53e62b308",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now finalize the map topology before any squish operations.  Plot countyPop/aDP\n",
      "Working on county  0 distances\n",
      "Working on county  20 distances\n",
      "Working on county  40 distances\n",
      "Working on county  60 distances\n",
      "Working on county  80 distances\n",
      "the max LAT-scaled distance between counties is 4.23338\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter user-picked max district diameter, or 0 to accept 4.23338  4.23\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Working on county  0 neighbors\n",
      "Working on county  20 neighbors\n",
      "Working on county  40 neighbors\n",
      "Working on county  60 neighbors\n",
      "Working on county  80 neighbors\n",
      "I have also identified each county's neighbors.  Let's visualize the counties with two or fewer neighbors\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#CHANGE- do not use clipLines to find outcroppings.  Instead, find boundary counties with low neighborcounts\n",
    "print(\"Now finalize the map topology before any squish operations.  Plot countyPop/aDP\")\n",
    "preSquishCountyGeom = [countyGeom[c] for c in range(nCounties)]\n",
    "maxD = 0.\n",
    "for c in range(nCounties):\n",
    "    if c%20 == 0:\n",
    "        print(\"Working on county \",c,\"distances\")\n",
    "    if c not in cutCountyList:\n",
    "        plotPoly(countyGeom[c],0.2)\n",
    "        plotCenter(r3(countyPop[c]/aDP), countyGeom[c], 7 )\n",
    "        for cc in range(c+1, nCounties):\n",
    "            dist = getLongDist(countyCP[c],countyCP[cc],xScale)\n",
    "            if dist > maxD and cc not in cutCountyList:\n",
    "                maxD = dist\n",
    "                #print(c,cc,maxD)\n",
    "print(\"the max LAT-scaled distance between counties is\",r5(maxD))\n",
    "plotPoly(MAP)\n",
    "plotPoly(MAP.centroid.buffer(0.5*maxD))\n",
    "plt.show()\n",
    "inputD = float( input(\"enter user-picked max district diameter, or 0 to accept \"+str(r5(maxD))+\" \") )\n",
    "if inputD > 0:\n",
    "    maxD = inputD\n",
    "neighborCountyList = [list() for c in range(nCounties)]\n",
    "for c in uncutCountyList:\n",
    "    if c%20 == 0:\n",
    "        print(\"Working on county \",c,\"neighbors\")\n",
    "    for cc in uncutCountyList:\n",
    "        if cc > c and cc not in cutCountyList:  \n",
    "            if countyGeom[c].intersects(countyGeom[cc]) :\n",
    "                neighborCountyList[c].append(cc)\n",
    "                neighborCountyList[cc].append(c)\n",
    "print(\"I have also identified each county's neighbors.  Let's visualize the counties with two or fewer neighbors\")\n",
    "hasFewNeighborCs, has1neighborCs = list(), list()\n",
    "plotPoly(MAP,0.15)\n",
    "for c in uncutCountyList:\n",
    "    if len(neighborCountyList[c]) == 2:\n",
    "        hasFewNeighborCs.append(c)\n",
    "        plotPoly(countyGeom[c])\n",
    "        plotCenter(c+0.2,countyGeom[c])\n",
    "        for cc in neighborCountyList[c] :\n",
    "            plotPoly(countyGeom[c],0.5)\n",
    "    if len(neighborCountyList[c]) < 2:\n",
    "        has1neighborCs.append(c)\n",
    "        plotPoly(countyGeom[c])\n",
    "        plotCenter(c+0.1,countyGeom[c])\n",
    "        for cc in neighborCountyList[c] :\n",
    "            plotPoly(countyGeom[c],0.2)\n",
    "plt.show()   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "d63e9f85-336f-4e38-8ed7-75035e9845f4",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "continuing from above, develop corner county blocks from each low-pop corner county until it hits 0.125 of 753947\n",
      "checking if county 64 with pop 25222.0 and 1 or 2 neighbors is less pop than 94243\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Below I plot these again by county no, with faded neighboring counties\n",
      "0   [64, 25, 62]\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now finalize the corner lists.  Remember, our avgDistrictPop and normal pop threshold are 753947.556 94243\n",
      "let's decide whether to delete, accept, or modify list [64, 25, 62] with pop 70483.0\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 0 to ax, 1 to accept, or type in a [replacement list] (must start with same c as orig list) [64, 25, 81]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "OK, I will replace [64, 25, 62] with [64, 25, 81]\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 1 if you want to manually add another corner-county cluster 1\n",
      "Type in a [county list], where the corner county is first in the list.  Or type 0 to stop [75, 43, 16]\n",
      "enter 1 if you want to manually add another corner-county cluster 0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Our final pops and fused-county lists are...\n",
      "238369.0 [64, 25, 81]\n",
      "118146.0 [75, 43, 16]\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#copied 2/17/24 from CO\n",
    "\n",
    "aDP = float(statePop)/nDistricts\n",
    "maxCCBratio = 1./8.  #adjustable max fraction of district pop for corner county blocks.  Let's try 3/16\n",
    "maxCCBpop = maxCCBratio * aDP\n",
    "print(\"continuing from above, develop corner county blocks from each low-pop corner county until it hits\",r3(maxCCBratio),\"of\",int(aDP) )\n",
    "CCBlist, CCBpop, passThruList = list(), list(), list()  #\"waiveThru\" counties get chance to join a cluster even if high pop\n",
    "nFuses = 0\n",
    "for c in has1neighborCs:\n",
    "    print(\"checking if county\",c,\"with pop\",countyPop[c],\"and only 1 neighbor is less pop than\",int(maxCCBpop),\"vs districtPop\",int(aDP) )\n",
    "    if countyPop[c] > maxCCBpop:\n",
    "        plotPoly(countyGeom[c])\n",
    "        plotCenter(c,countyGeom[c])\n",
    "        nc = neighborCountyList[c][0]\n",
    "        plotPoly(countyGeom[nc],0.5)\n",
    "        plotPoly(MAP,0.2)\n",
    "        print(\"county\",c,\"has pop\",countyPop[c],\"and its only neighbor has pop\",countyPop[nc],\"vs districtPop\",aDP,\". Default = keep un-fused\")\n",
    "        print(\"enter 0 to keep\",c,\"as an unfused collection of units, 1 to fuse as one unit and stop, 2 to force-add at least the next closest county\")\n",
    "        fuseChoice = input(\"0, 1, or 2.  Any other input taken as a zero\")\n",
    "        if fuseChoice == 0:\n",
    "            keepUnfused = True\n",
    "            break\n",
    "        elif int(fuseChoice) == 1:\n",
    "            CCBlist.append([c])\n",
    "            CCBpop.append(countyPop[c])  \n",
    "            hasFewNeighborCs.append(c)  #this adds this [c] to the final list of fused units, but will fail to find more in below\n",
    "        elif int(fuseChoice) == 2:\n",
    "            CCBlist.append([c,nc ] )\n",
    "            CCBpop.append(countyPop[c] + countyPop[nc])\n",
    "            hasFewNeighborCs.append(c)\n",
    "            passThruList.append(c)   #pass on thru to the below 2neighbor logic even if too high-pop to qualify\n",
    "    else:\n",
    "        hasFewNeighborCs.append(c)  #normal case; we'll handle in next, more general, for loop            \n",
    "        \n",
    "for c in hasFewNeighborCs:\n",
    "    print(\"checking if county\",c,\"with pop\",countyPop[c],\"and 1 or 2 neighbors is less pop than\",int(maxCCBpop) )\n",
    "    if countyPop[c] < maxCCBpop :\n",
    "        CCBlist.append([c])\n",
    "        CCBpop.append(countyPop[c])\n",
    "        CCBno = CCBlist.index([c])\n",
    "    if c in passThruList:\n",
    "        CCBno = CCBlist.index([c,neighborCountyList[c][0] ])\n",
    "    if countyPop[c] < maxCCBpop or c in passThruList:            \n",
    "        CCBstarter = c\n",
    "        canAdd = True\n",
    "        while canAdd:\n",
    "            nbrSet = set()\n",
    "            for cc in CCBlist[CCBno]:\n",
    "                nbrSet = ( nbrSet.union(set(neighborCountyList[cc])) ).difference(set(CCBlist[CCBno]))\n",
    "            nPop = [countyPop[cc] for cc in nbrSet]\n",
    "            nDist = [countyGeom[cc].centroid.distance(countyGeom[CCBstarter].centroid) for cc in nbrSet]\n",
    "            idx = np.argsort(nDist)\n",
    "            nbrList, newList = list(nbrSet), list()\n",
    "            for i in range(len(nDist)):  #add counties, closest to starter that will fit until over\n",
    "                cc = nbrList[idx[i]]\n",
    "                if CCBpop[CCBno] + countyPop[cc] < maxCCBpop:\n",
    "                    newList.append(cc)\n",
    "                    CCBlist[CCBno].append(cc)\n",
    "                    CCBpop[CCBno] += countyPop[cc]\n",
    "                    #print(\"adding county\",cc,\"with pop\",countyPop[cc],\"to list started by\",CCBstarter,\".Cluster pop now\",CCBpop[CCBno]  )\n",
    "            if newList == list():  #no eligible neighbor counties found; stop\n",
    "                canAdd = False\n",
    "                for cc in CCBlist[CCBno]:\n",
    "                    plotPoly(countyGeom[cc])\n",
    "                    plotCenter(CCBno,countyGeom[cc])\n",
    "plotPoly(MAP,0.2)\n",
    "plt.show()\n",
    "                    \n",
    "print(\"Below I plot these again by county no, with faded neighboring counties\")\n",
    "plotPoly(MAP,0.15)\n",
    "for L in CCBlist:\n",
    "    print(CCBlist.index(L),\" \",L)\n",
    "    for c in L:\n",
    "        plotPoly(countyGeom[c])\n",
    "        plotCenter(c,countyGeom[c])\n",
    "        for cc in list(set(neighborCountyList[c]).difference(L) ):\n",
    "            plotPoly(countyGeom[cc],0.4)\n",
    "            plotCenter(cc,countyGeom[cc],8)\n",
    "plt.show()\n",
    "rejectList = list()\n",
    "print(\"Now finalize the corner lists.  Remember, our avgDistrictPop and normal pop threshold are\",r3(aDP), int(maxCCBpop))\n",
    "for i,L in enumerate(CCBlist):\n",
    "    if L[0] not in passThruList:  #if we forced the fused-counties list above, don't give option here to modify\n",
    "        print(\"let's decide whether to delete, accept, or modify list\",L,\"with pop\",CCBpop[i] )\n",
    "        isOK = input(\"enter 0 to ax, 1 to accept, or type in a [replacement list] (must start with same c as orig list)\")\n",
    "        if not (isOK == 1 or isOK == str(1)) :\n",
    "            if isOK == 0 or isOK == str(0) :\n",
    "                rejectList.append(L)\n",
    "            else:\n",
    "                notGood = True\n",
    "                while notGood:       \n",
    "                    Lnew = ast.literal_eval(isOK)        \n",
    "                    if len(list(set(Lnew).difference(set([c for c in range(nCounties) ] )))) == 0:\n",
    "                        notGood = False\n",
    "                    else:\n",
    "                        print(\"Oops!  You didn't enter a valid list.  Try again as [\",L[0],\", n1, n2, ... ] where n1, n2 are county integers\")\n",
    "                        isOK = input(\"Try again here \")\n",
    "                print(\"OK, I will replace\",L,\"with\",Lnew)\n",
    "                CCBpop[i] = np.sum( [countyPop[c] for c in Lnew] )\n",
    "                CCBlist[i] = Lnew.copy()\n",
    "for L in rejectList:\n",
    "    del CCBpop[ CCBlist.index(L)]\n",
    "    del CCBlist[CCBlist.index(L)]\n",
    "stillAdding = True\n",
    "while stillAdding:\n",
    "    addMore = input(\"enter 1 if you want to manually add another corner-county cluster\")\n",
    "    if int(addMore) != 1:\n",
    "        stillAdding = False\n",
    "    else:\n",
    "        isOK = input(\"Type in a [county list], where the corner county is first in the list.  Or type 0 to stop\")\n",
    "        if isOK == 0 or isOK == str(0) :\n",
    "            print(\"OK, we'll stop adding corner clusters\")\n",
    "            stillAdding = False\n",
    "        else:\n",
    "            notGood = True\n",
    "            while notGood:       \n",
    "                Lnew = ast.literal_eval(isOK)        \n",
    "                if len(list(set(Lnew).difference(set([c for c in range(nCounties) ] )))) == 0:\n",
    "                    notGood = False\n",
    "                    for L in CCBlist:\n",
    "                        if set(L).intersection(set(Lnew)) != set(list()) :\n",
    "                            notGood = True\n",
    "                            print(\"OOPS! The following inputted counties are already in\",L,\":\",set(L).intersection(set(Lnew)) )\n",
    "                            isOK = input(\"Try again here \")\n",
    "                    if notGood == False:\n",
    "                        CCBlist.append(Lnew)\n",
    "                        CCBpop.append( np.sum( [countyPop[c] for c in Lnew] ) )\n",
    "                else:\n",
    "                    print(\"Oops!  You didn't enter a valid list.  Try again as [\",L[0],\", n1, n2, ... ] where n1, n2 are county integers\")\n",
    "                    isOK = input(\"Try again here \")\n",
    "print(\"Our final pops and fused-county lists are...\")\n",
    "allFusedCounties = list()\n",
    "CCBgeom = [dummyPoly for L in CCBlist ]\n",
    "CCBcp = list()\n",
    "for i, L in enumerate(CCBlist):\n",
    "    CCBcp.append( getHDcp([countyCP[c] for c in L], [countyPop[c] for c in L], [ j for j in range(len(L)) ] ) )\n",
    "    print(CCBpop[i],L)\n",
    "    pops, CPs = list(), list()\n",
    "    for c in L:\n",
    "        if c == L[0]:\n",
    "            CCBgeom[i] = countyGeom[c]\n",
    "        else:\n",
    "            CCBgeom[i] = CCBgeom[i].union(countyGeom[c])\n",
    "        allFusedCounties.append(c)\n",
    "        pops += countyPop[c]       #  IS THIS EVEN USED?\n",
    "        CPs.append(countyCP[c])   #  IS THIS EVEN USED?\n",
    "        plotPoly(countyGeom[c])\n",
    "        plotCenter(i,countyGeom[c])\n",
    "plotPoly(MAP,0.2)\n",
    "plt.show()\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "206c9372-8ec8-4190-93ed-04df286466e0",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "now identify the border counties + border fused units, and interior small counties with pop < 15078\n",
      "We defined a total of 11 unit (but not corner-cluster) counties in the map, excluding the cut-out districts\n"
     ]
    }
   ],
   "source": [
    "maxWholeBorderCountyPop = 0.02 * aDP   #to encourage contiguity, border counties > 0.02 aDP will be forced whole\n",
    "maxInteriorBorderCountyPop = 0.02 * aDP\n",
    "print(\"now identify the border counties + border fused units, and interior small counties with pop <\", int(maxInteriorBorderCountyPop))\n",
    "unitCounties, borderCounties = list(), list()\n",
    "for c in uncutCountyList:\n",
    "    if countyGeom[c].intersects(MAP.exterior):\n",
    "        borderCounties.append(c)\n",
    "        if c not in allFusedCounties:\n",
    "            if countyPop[c] < maxWholeBorderCountyPop:\n",
    "                unitCounties.append(c)\n",
    "    else:\n",
    "        if countyPop[c] < maxInteriorBorderCountyPop:\n",
    "            unitCounties.append(c)\n",
    "print(\"We defined a total of\",len(unitCounties),\"unit (but not corner-cluster) counties in the map, excluding the cut-out districts\")        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "e0ff719c-59dc-4827-a522-11bd352f7524",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "For this state, do we have a lot of populated fragmented VTDs?\n",
      "314 fragmented VTDs out of 5159\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FYI, here are the locations of fragmented VTDs with pop > 8000\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"For this state, do we have a lot of populated fragmented VTDs?\")\n",
    "nFragmentedVTDs,fragmentedVTDs = 0, list()\n",
    "for v in populatedTractList:\n",
    "    c = countyNo[v]\n",
    "    if c not in allFusedCounties and c not in unitCounties: \n",
    "        if vtdGeom[v].geom_type != dummyPoly.geom_type :  #a multipoly vtd-based unit\n",
    "            nFragmentedVTDs +=1\n",
    "            fragmentedVTDs.append(v)\n",
    "print(len(fragmentedVTDs),\"fragmented VTDs out of\",nVTDs)\n",
    "fragPop = [tractPop[v] for v in fragmentedVTDs]\n",
    "plt.hist(fragPop)\n",
    "plt.show()\n",
    "print(\"FYI, here are the locations of fragmented VTDs with pop > 8000\")\n",
    "for v in fragmentedVTDs:\n",
    "    if tractPop[v] > 8000:\n",
    "        plotPoly(vtdGeom[v])\n",
    "plotPoly(MAP,0.1)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "71d771f8-dbe2-48f9-a702-9f66a62d1174",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now writing the master list of units, which may be individual vtd's (+surrounds), whole counties, or corner county clusters\n",
      "I split up 314 fragmented VTDs. Now define unit neighbor lists and fuse geometries of surrounds.\n",
      "looking for surrounds, now working on vtd 0\n",
      "looking for surrounds, now working on vtd 500\n",
      "looking for surrounds, now working on vtd 1000\n",
      "looking for surrounds, now working on vtd 1503\n",
      "looking for surrounds, now working on vtd 2003\n",
      "looking for surrounds, now working on vtd 2504\n",
      "looking for surrounds, now working on vtd 3005\n",
      "looking for surrounds, now working on vtd 3505\n",
      "looking for surrounds, now working on vtd 4005\n",
      "looking for surrounds, now working on vtd 4505\n",
      "looking for surrounds, now working on vtd 5005\n",
      "After surround checks, we appear to have 5212 building blocks defined. We captured 234 surrounded VTDs\n",
      "working on unit neighbor lists for county 0\n",
      "working on unit neighbor lists for county 20\n",
      "working on unit neighbor lists for county 40\n",
      "WARNING - unit 3803  = vtd 5547 in county 46 has only 1 neighbor= [3838] . Optional triage in next block\n",
      "working on unit neighbor lists for county 60\n",
      "working on unit neighbor lists for county 80\n",
      "All done creating unit lists\n"
     ]
    }
   ],
   "source": [
    "#3/2/24 - split up all multipoly VTDs into fragments, divvy pop by area\n",
    "unitPop, unitCP, unitGeom, nbrUnitGeom, allUnits = list(), list(), list(), list(), list()\n",
    "vtdUnits, countyUnits, borderUnits = list(),list(),list()\n",
    "countyUnitList = [list() for c in range(nCounties) ]\n",
    "surroundedVTDs, surrounders = list(), list()  #vtds that are surrounded by another vtd - problem for later enclaves, xfer their pops to surrounders\n",
    "#These surrounded VTDs don't get transferred to the unit list\n",
    "print(\"Now writing the master list of units, which may be individual vtd's (+surrounds), whole counties, or corner county clusters\")\n",
    "for c in unitCounties:\n",
    "    unitCP.append(countyCP[c])\n",
    "    unitPop.append(countyPop[c])\n",
    "    unitGeom.append(   countyGeom[c] )\n",
    "    nbrUnitGeom.append(countyGeom[c] )\n",
    "    countyUnits.append(c)\n",
    "    allUnits.append(c+0.5)  #use non-integers to avoid vtd and county and cluster confusion\n",
    "\n",
    "nVTDneighbors = [0 for v in range(nVTDs)] #this loop -- just checking for surrounded VTDs\n",
    "lastVTDneighbor = [-999 for v in range(nVTDs)]\n",
    "\n",
    "nFragmentedVTDs,fragmentedVTDs, coastalFragmentedVTDs = 0, list(), list()  #a prev version treated coastal separately\n",
    "fragVTDgeom, parentVTDno, fragVTDpop = vtdGeom.to_list(), [v for v in range(nVTDs)], tractPop.to_list()  #these lists will expand to include vtd fragments \n",
    "origVTDgeom = vtdGeom.copy() #we create a parallel fragVTDgeom list which grabs the 1st fragment, then append fragments to the total list\n",
    "origVTDpop = tractPop.copy()\n",
    "VTDchildren = [[v] for v in range(nVTDs)]  #the list of all fragment numbers associated with the original VTD, including ones that get surrounded\n",
    "countyFragVTDset = [set(countyTractList[c]) for c in range(nCounties)]\n",
    "for v in populatedTractList:\n",
    "    c = countyNo[v]\n",
    "    if c not in allFusedCounties and c not in unitCounties: \n",
    "        if vtdGeom[v].geom_type != dummyPoly.geom_type :  #a multipoly vtd-based unit\n",
    "            nFragmentedVTDs +=1\n",
    "            fragmentedVTDs.append(v)\n",
    "            geos, areas = [geo for geo in vtdGeom[v].geoms ], [geo.area for geo in vtdGeom[v].geoms]\n",
    "            for i, geo in enumerate(geos):\n",
    "                if i == 0:\n",
    "                    fragVTDgeom[v] = geo\n",
    "                    fragVTDpop[v] = tractPop[v] * areas[i] / np.sum(areas)  #overwrite, then distribute balance below\n",
    "                else:\n",
    "                    fNo = len(fragVTDgeom)\n",
    "                    fragVTDgeom.append(geo)\n",
    "                    fragVTDpop.append( tractPop[v] * areas[i] / np.sum(areas) )\n",
    "                    parentVTDno.append(v)\n",
    "                    countyFragVTDset[c].add(fNo )\n",
    "                    VTDchildren[v].append(fNo)\n",
    "                    nVTDneighbors.append(0)\n",
    "                    lastVTDneighbor.append(-999)\n",
    "                    \n",
    "print(\"I split up\",nFragmentedVTDs,\"fragmented VTDs. Now define unit neighbor lists and fuse geometries of surrounds.\")\n",
    "\n",
    "debugV = -7616\n",
    "for kk,V in enumerate(populatedTractList):\n",
    "    if kk%500 == 0:\n",
    "        print(\"looking for surrounds, now working on vtd\",V)\n",
    "    c = countyNo[V]\n",
    "    if c not in allFusedCounties and c not in unitCounties:\n",
    "        for v in VTDchildren[V]:\n",
    "            for vv in countyFragVTDset[c].difference({v}) :\n",
    "                if fragVTDgeom[vv].intersects(fragVTDgeom[v]):\n",
    "                    nVTDneighbors[v] +=1\n",
    "                    lastVTDneighbor[v] = vv\n",
    "                    if v == debugV:\n",
    "                        print(\"I just added neighbor\",vv,\"to magicV\",v)\n",
    "                #if nVTDneighbors[v] >= 4:  #Enough to have >=2 even after surrounds.  Will do full neighbor list later\n",
    "                #    break\n",
    "            if nVTDneighbors[v] < 4:  #OK if a vtd has only 1 intracounty neighbor IF it touches another county, it's not surrounded\n",
    "                for cc in neighborCountyList[c]:\n",
    "                    if fragVTDgeom[v].intersects(countyGeom[cc]):\n",
    "                        if cc not in unitCounties + allFusedCounties:\n",
    "                            for vv in countyFragVTDset[cc] :\n",
    "                                if fragVTDgeom[vv].intersects(fragVTDgeom[v]):\n",
    "                                    nVTDneighbors[v] +=1\n",
    "                                    lastVTDneighbor[v] = vv\n",
    "                            if nVTDneighbors[v] == 1:\n",
    "                                print(\"WARNING. vtd frag\",v,\"in county\",c,\"intersected county\",cc,\"but had no intracounty neighbors\")\n",
    "                                plotPoly(fragVTDgeom[v],2)\n",
    "                                plotCenter(\"iso\",fragVTDgeom[v])\n",
    "                                plotPoly(countyGeom[cc])\n",
    "                        else:\n",
    "                            nVTDneighbors[v] +=1\n",
    "                            if nVTDneighbors[v] == 1:\n",
    "                                raise Exception(\"neighborless vtd fragment\",v,\"neighbors a unit or fused county\",cc)                                \n",
    "            if v == debugV:\n",
    "                print(v,\"has\",nVTDneighbors[v],\"neighbors.  its last is\",lastVTDneighbor[v])\n",
    "                \n",
    "for loop in range(3): #to catch surrounds of surrounds\n",
    "    for V in populatedTractList:\n",
    "        c = countyNo[V]\n",
    "        if c not in allFusedCounties and c not in unitCounties: \n",
    "            for v in VTDchildren[V]:\n",
    "                if nVTDneighbors[v] == 1:\n",
    "                    vv = lastVTDneighbor[v]\n",
    "                    if v in surrounders:  #transferring surrounded of surrounds to master surrounder\n",
    "                        for sNo, s in enumerate(surroundedVTDs):\n",
    "                            if surrounders[sNo] == v:\n",
    "                                surrounders[sNo] = vv\n",
    "                    surroundedVTDs.append(v)\n",
    "                    surrounders.append(vv)\n",
    "                    nVTDneighbors[vv] -=1\n",
    "                    nVTDneighbors[v] -=1 #in case this surrounder becomes a later surroundee\n",
    "                    fragVTDpop[vv] += fragVTDpop[v]\n",
    "                    fragVTDpop[v] = 0\n",
    "                    if lastVTDneighbor[vv] == v:  #find another neighbor in case this surrounder is also a surroundee in loop 2\n",
    "                        for vvv in countyFragVTDset[c]:\n",
    "                            if vvv not in [v,vv]:\n",
    "                                if fragVTDgeom[vvv].intersects(fragVTDgeom[vv]):\n",
    "                                    lastVTDneighbor[vv] = vvv\n",
    "                    if lastVTDneighbor[vv] == v:\n",
    "                        print(\"WARNING.  We did not find another neighbor of surrounder\",vv,\"other than surroundee\",v)\n",
    "                    if loop > 0:\n",
    "                        print(\"On loop\",loop+1,\"for county\",c,\" we found that vtd frag\",v,\"now has only 1 neighbor\",vv)\n",
    "            \n",
    "for V in populatedTractList:\n",
    "    c = countyNo[V]\n",
    "    if c not in allFusedCounties and c not in unitCounties: \n",
    "        for v in VTDchildren[V]:\n",
    "            if nVTDneighbors[v] >1:\n",
    "                unitCP.append(fragVTDgeom[v].centroid)\n",
    "                unitGeom.append(fragVTDgeom[v])\n",
    "                unitPop.append(fragVTDpop[v])   #for now, ratio pop by area, not block decomposition\n",
    "                vtdUnits.append(v)   #if a border unit, we'll catch in below big loop, after checking for surround\n",
    "                allUnits.append(v)\n",
    "#for V in populatedTractList:\n",
    "#    c = countyNo[V]\n",
    "#    if c not in allFusedCounties and c not in unitCounties:  \n",
    "#        for v in VTDchildren[V]: \n",
    "for V in populatedTractList:\n",
    "    c = countyNo[V]\n",
    "    if c not in allFusedCounties and c not in unitCounties: \n",
    "        for v in VTDchildren[V]:\n",
    "            if nVTDneighbors[v] == 1:  #a surrounded VTD, transfer its pop to surrounder unit.  Don't bother with shifting centerpoints\n",
    "                print(\"somehow we missed 1-neighbor vtd frag\",v,\" with last vtd frag nbr\",lastVTDneighbor[v])\n",
    "            if nVTDneighbors[v] == 0 and v not in surroundedVTDs:\n",
    "                print(\"WARNING. vtd\",v,\"had no found neighbors\")\n",
    "\n",
    "for i, L in enumerate(CCBlist):\n",
    "    unitCP.append( CCBcp[i] )\n",
    "    unitPop.append(CCBpop[i])\n",
    "    unitGeom.append(   CCBgeom[i])\n",
    "    nbrUnitGeom.append(CCBgeom[i])\n",
    "    allUnits.append(i+0.25)  #use alt non-integers to avoid vtd and county and cluster confusion\n",
    "\n",
    "nUnits = len(allUnits)\n",
    "print(\"After surround checks, we appear to have\",nUnits,\"building blocks defined. We captured\",len(surroundedVTDs),\"surrounded VTDs\")\n",
    "\n",
    "unitNbrs = [list() for u in range(nUnits)]\n",
    "countyUnitList = [list() for c in range(nCounties)]\n",
    "for c in uncutCountyList:\n",
    "    for v in countyFragVTDset[c]:\n",
    "        if v in allUnits:\n",
    "            countyUnitList[c].append(allUnits.index(v))\n",
    "\n",
    "sketchyList = list()\n",
    "for c in uncutCountyList:\n",
    "    if c%20 == 0:\n",
    "        print(\"working on unit neighbor lists for county\",c)\n",
    "    if c not in allFusedCounties:  #see a separate loop below for cluster-cluster neighbors\n",
    "        if c in unitCounties:    \n",
    "            u = allUnits.index(c+0.5)\n",
    "            for cc in neighborCountyList[c]:\n",
    "                if cc not in allFusedCounties:\n",
    "                    if cc in unitCounties:\n",
    "                        unitNbrs[u].append(allUnits.index(cc+0.5))  #we'll catch the complement in the cc county's loop\n",
    "                    else:\n",
    "                        for uu in countyUnitList[cc] :\n",
    "                            if countyGeom[c].intersects(unitGeom[uu]):\n",
    "                                unitNbrs[u].append(uu)\n",
    "                                unitNbrs[uu].append(u)\n",
    "            for i,geo in enumerate(CCBgeom):\n",
    "                if geo.intersects(countyGeom[c]):\n",
    "                    unitNbrs[u].append(allUnits.index(i+0.25) )\n",
    "                    unitNbrs[allUnits.index(i+0.25) ].append(u)\n",
    "        else:  #non-unit county      \n",
    "            for u in countyUnitList[c] :\n",
    "                for uu in list( set(countyUnitList[c]).difference({u}) ) :\n",
    "                    if unitGeom[u].intersects(unitGeom[uu]):\n",
    "                        unitNbrs[u].append(uu )  #will catch complement later in this county's loop\n",
    "                for cc in neighborCountyList[c]:\n",
    "                    if cc not in allFusedCounties and cc not in unitCounties: #see an above block for handling unitCounties\n",
    "                        for uu in countyUnitList[cc]:\n",
    "                            if unitGeom[u].intersects(unitGeom[uu]):\n",
    "                                unitNbrs[u].append(uu )\n",
    "\n",
    "            for u in countyUnitList[c] :\n",
    "                for i,geo in enumerate(CCBgeom):\n",
    "                    if geo.intersects(unitGeom[u]):\n",
    "                        unitNbrs[u].append(allUnits.index(i+0.25) )\n",
    "                        unitNbrs[allUnits.index(i+0.25) ].append(u)\n",
    "                if len(unitNbrs[u]) == 0:\n",
    "                    print(\"ERROR - unit\",u,\" = vtd\",allUnits[u],\"in county\", c,\"has no neighbors\")\n",
    "                if len(unitNbrs[u]) == 1:  #after fragmentation, the piece we selected is surrounded.  KISS - take on this neighbor's neighbors                       \n",
    "                    print(\"WARNING - unit\",u,\" = vtd\",allUnits[u],\"in county\", c,\"has only 1 neighbor=\",unitNbrs[u],\". Optional triage in next block\")\n",
    "                    sketchyList.append([u,unitNbrs[u][0] ] )\n",
    "\n",
    "CCBunits = CCBlist.copy()                        \n",
    "for i, geo in enumerate(CCBgeom):  #this loop: only cluster-cluster intersections.  Cluster-vtd and cluster-county neighbors already found above.\n",
    "    for ii in range(i+1,len(CCBgeom) ) :\n",
    "        if geo.intersects(CCBgeom[ii]):\n",
    "            unitNbrs[allUnits.index(i+0.25) ].append(allUnits.index(ii+0.25) ) #all CCB-county, CCB-vtd intersxns already covered\n",
    "            unitNbrs[allUnits.index(ii+0.25)].append(allUnits.index(i+0.25) )\n",
    "print(\"All done creating unit lists\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "3ed5ebb3-f0ab-42c1-b0f1-34ebf9124dc0",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Here are the neighbors for unit 3803 in county 46\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "troubleUs = [3803]\n",
    "for u in troubleUs:\n",
    "    plotPoly(unitGeom[u],1.5)\n",
    "    for c in range(nCounties):\n",
    "        if u in countyUnitList[c]:\n",
    "            print(\"Here are the neighbors for unit\",u,\"in county\",c)\n",
    "            plotPoly(countyGeom[c],0.15)\n",
    "            plotCenter(\"county\"+str(c),countyGeom[c])\n",
    "    for uu in unitNbrs[u]:\n",
    "        plotPoly(unitGeom[uu],0.5)\n",
    "        plotCenter(uu,unitGeom[uu])\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "8378940d-4387-4188-8ae1-a62010500ecb",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now build the border topology\n",
      "counties and clusters done, now working on (frag) vtd-based units\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"Now build the border topology\")\n",
    "borderUnits, borderType = list(), list()\n",
    "for c in borderCounties:\n",
    "    if c in unitCounties:\n",
    "        borderUnits.append(allUnits.index(c+0.5))\n",
    "        borderType.append(\"county\")\n",
    "for i,L in enumerate(CCBlist):\n",
    "    if CCBgeom[i].intersects(MAP.exterior):  #should always be the case\n",
    "        borderUnits.append(allUnits.index(i+0.25))\n",
    "        borderType.append(\"cluster\")\n",
    "print(\"counties and clusters done, now working on (frag) vtd-based units\")\n",
    "for c in borderCounties:\n",
    "    if c not in unitCounties + allFusedCounties:\n",
    "        for u in countyUnitList[c]:\n",
    "            if unitGeom[u].intersects(MAP.exterior):\n",
    "                borderUnits.append(u)\n",
    "                borderType.append(\"vtd\")\n",
    "    \n",
    "for i,b in enumerate(borderUnits):\n",
    "    plotPoly(unitGeom[b])\n",
    "    if borderType[i] == \"cluster\":\n",
    "        j = int(allUnits[b])\n",
    "        for c in CCBlist[j]:\n",
    "            plotPoly(countyGeom[c],0.2)\n",
    "            plotCenter(\"fused\",countyGeom[c], 6)\n",
    "for c in unitCounties:\n",
    "    plotPoly(countyGeom[c],0.4)\n",
    "    plotCenter(\"unit\",countyGeom[c],8)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "937d923d-9e95-45e9-9aef-77cb4377781d",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "checking that the list of borderUnits is contiguous all around\n",
      "number of border units = 191\n",
      "border is discontig if we skip 501\n"
     ]
    },
    {
     "data": {
      "image/png": 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qN/4KT+l+o4sYU5K/loc+//EAat/ZgvLnXgAKX0BS3x6BDtRCAHrXJBEY3Auh91eS2fyUABjUEBEZxn7NeNivGd/svprNmwGrDWptHSRFhmSzBUY6JTApKQm95y1E73kLodbWouYfb8H90bvBvqFS/fNMkgJdK4KfpZMfwH711cYVPIhBTbQxqCEiijlaXR08ZefhKTuPmjFjAACpoy/BwFdfN7hksUNJS0OPu+8F7r637YPX3wt00/JDrWFQE2UCgl1qiIgMJkT4oA3JbsegV16G/9w5QNNQ9dor8B75ysAShtv87tPYfmwbBALPkcB78CUEIFRoQjTaJwL9hdoQOk6FhoHJfTB+8BSMGfEd2O2ZUb2m7sCgJtoEEr46k4jIKM6PPsTJBT+C72wNej/0/cAoIlkCIAfeJTlQmy7LeifZWOBIyUSmLQNzvvlSsE+zhND/yZIEyZICKFZIkgxZVgJ7OtgqIDQNh4/uwO5P/x9e//O3oAqBUb0uxviLpuOiYTdBlpsfsi6EgFfVYLNEZkh7JDGoiTYuk0BEZBjXx3vgO1sDADj729+1emzKxYO6o0jtcu1VD+Pl0rXQADgc0RnOLckyhg75BoYO+Qa+A8DrrsYnpeux6Z+/xy93P42e1jSMzx2Pa0fORu9eefr33vvjCtj+vQFJqT0BAL6kHhhsOYc+USllxzCoiTZNY58aIiKDpN95H4SrLjixngrfqQpUbd6B1NGXwtLDEaipCS6HIFutKF80LzCpnqwE3httS7ICWCyQZAWW/oOQcfudUSm3JMuY8bVvY/2Ox/DQrWujco7GkpLTMW70wxg3+mEAwNmKUuz59zr84h8/xDm/E19zDERfdx8MPFOJMU/ugawoEJqGqvMVWPKXffhFt5SydQxqoo0dhYmIDGPNzkbv/1qsf/afPQv/6e9Bq74A74Xzgf4panB2YSGCMw0H30VguHJgdmGhf4YmoPlUCJ8Gx823Qu7g7Lvtdf3V87Fu3bWoc55Fqr13VM7Rmt5Zl+HWbxThVgCa6sMXn7+F9SVv4cUMBcqr38OoPqNxx8XfwPWDLkVNUizU0zCoiTp2FCYiih2W3r0xcOObXc6nct3/ovyZ51H3ziY4bvpWBErWlKQouGforXhtx2J87+bfRuUc7SUrVlx0yR1YcskdWALgdHU1NuzfjhUfvozHdhxBtjwBwFhDywgA7MEabQKsqSEiMhn72MDcNzV/i+4Q8K+Pfwy7z+yDy10V1fN0VHZ6OuZfdxv+cu9SvD1zDYYMPGZ0kQAwqIk+wbWfiIjMxnbR12AbkAnZnhrV88iKFXcNmIo/73wiqufpCqffiR7JDqOLAYDNT9HH0U9ERKYkPF7UvPsBvHffDMhysIOxHFhSoGHnYkUBFBnCB6SMHQvJkgQolkC6xQJJtgCKpT7NakXadddBttsBAFMnPIGHNtyAu711sCVFN4jqjFpfLdKsaUYXAwCDmugTItCznoiITKXn7Nlwffg+hKoBqhroUKyq0Pz+QEfjBune05XQal2oeffDQEdk0XreOU8sQs+ZswEASlIKbsu9Hv/37hLcM3lpN1xZx9T56pBqjY1gi0FNtAkO6SYiMiN/2Qlobg+k4CR+ktUKyWbTJ/WT5OAEf7KMpMGDgp8DLyk06Z8kBdba1HOVcOHNrRAed9i5brphCR7e+A1M93tgtRi/cGRDNd4a1tQkCiE4+omIyGyEEDi38Q3Y+veBJTMjfDg4Atv1w8C1+hXCNQGI4HGhIeMifNvWvxfs114fdj6LzYH8PqOxac/zuPX6nxlz0S1gTU0iEWBHYSIikxFOJyCAzHkLkXHLLd1yztsmPYu5f7wJ065b3OISBkao9dUiLYk1NYmBHYWJiAwhhMD53/wS6rlzgY64kOr/OZaCayU1fDVOD34GoPeNDO3TXIHmITmt+x7mNnsmru95CbZ99EtMuWZBt523LXW+OmSlZBldDAAMaqKPMwoTERnCV3YSFb/8LSzpyZAswX+HQ/1XRKPOukI0eBP1S2KHd3gJ26+kJ8M2eHC0LyPM3ZMK8eO/TMfkq+fHzGLJLr8LKdYUo4sBgEFN9DGoIaIEodXV4cspE+GvrAPkUK0GALm+9kOSJUhWBbItCX2f/zns106IXnmqAxPW9f/DOqSMuCxq5+lO9vR+GOUYjN0lv8N1V/3Q6OIAANx+N5KVZKOLAYBBTfQJEVzmnojI3LxlZfBX1qHHPfcg+eKLgkOafYDfBxF693khPC6c/cMGOD94P6pBjVpdDQBQ0mNjYrhImTGpEI+/NStmghqP6kGyhUFNQhCcUZiIEoR6/jwAIPN7DyBp0KAWjxOahrNrNkDJGRDd8lQFghrZYa6gJqPXMAxL6YN9/96Aq0bcZ3RxAs1PlthofoqNBjkzY/MTESUI/9lzAAAlM7PV47SamkCflF7RXXlaqwqWx2RBDQDMvuEZvPzJ/xhdDACB5iebEhtz5zCoiTaOfiKiBKFWnIJkkSCntj5niVpZCQBQevaIbnnOnYFsUyBZzNco0Tv7cvSxpuHA528ZXZSYan5iUBNtrKkhogShniuHYre12eTuDwY1lp49o1ueyrOQ7UlRPYeRHphQgP8tXmZ0MeBWWVOTOBjUEFGCUM+fgZLW9i/2+pqa6AY12oXzUOyxUYMQDbn9r4FNUvDVkR3GFkQAshQb4URslMLEBLhMAhElBrXyPBRH29Plq2dPAwCUjIzolqfqApS02Ji+P1oeuOZxrNnzrLGFiKFnnPkaGmONQMxMkEREicl/7hyO3nw9NNj02XMDizBK9TPoys1sBxdmbDjPDGQ5kC7LwWNkPd395TGkXDKszfKoFScBCShfODeQn6IAsgJJVgLnViyBfEPpYe9yoI+MrDQ4zgIoMiQlkB7a7zlaBmvvHtG/wQYaOnQyPLufQtnJYvTLHWtMIdpYcbw7MaiJNk1DTIWxRJRwfGVl8FYJ9LjjG7D0SA8uvKgBmhrcVoMLMIbSg9tCazYdQkCoav3CjMH0lEuGocc9s9ssT/KoMUgZ+hbcnx4M5NtwMcjQdmiBRy20CKTQ9zddDBINFosMP1fadeOjdFdjxwNjfozCt/8T4/uMgiwpkKXAKuBKg22rYsPkcT9Gckp0m/yMxqAm2jQNUFhTQ0TGEX4/AKDX9+fANqztmpRoS50wEal/2x61/EWDQEyyWqN2nlhxycW34yHVg1rXOQihQRMaNM0feBcqhKbh8zP/wv/b/ihm37wq8gWIod/tDGqiTKhqoEqUiMggwusLvPt8Bpeke0iyHGimMrog3WjkZfe0uv/rfi8eevU63OupQZItwvP2xFDzU5eqEIqKiiBJEubPn6+nCSFQUFCA3NxcpKSkYNKkSSgtLW01n9WrV+P6669Hz5490bNnT0yZMgUfffRRk+NefPFFDBkyBMnJyRg9ejTefffdrhS/Wwi/H5IldpaIJ6LEkzRkMGS7FcdmfBsX1r8cqMmghKJYknBL/2/gjZ0/M7ooUdXpoKa4uBirVq3CyJEjw9KXLl2K5cuXY+XKlSguLkZOTg6mTp2KmpqaFvPasWMH7rvvPmzfvh179uzBwIEDkZ+fj7KyMv2Y1157DfPnz8fixYvxySef4Prrr8dNN92EY8eOdfYSuoffD5hw4iciih/W7GwM27odaePH4tRTRTh6+zfhPnjQ6GJRN5t2w5PYfOo9+H1uo4sSNZ0KamprazFz5kysXr0aPRvMMyCEwIoVK7B48WJMnz4dI0aMwNq1a+F0OrF+/foW83v11VcxZ84cjBo1ChdffDFWr14NTdPwzjvv6McsX74cDz74IL7//e/jkksuwYoVKzBgwAC89NJLnbmEbsPmJyKKBZbMTOSu/D0Grvk91JpaHL79dpwuWAStrs7oolE3sVrtmJw9DpvfLzS6KFHTqaBm7ty5mDZtGqZMmRKWfvjwYZSXlyM/P19Ps9lsmDhxInbv3t3u/J1OJ3w+H3r16gUA8Hq92Lt3b1i+AJCfn99qvh6PB9XV1WGv7iZUlc1PRBQzUq8dj6Gbd6LPQw+g8k9v4MspN6Bm89+NLhZ1kzsmPo2/HP0HNNUfsTxFDHWq6XAVwsaNG7Fv3z4UFxc32VdeXg4AyM7ODkvPzs7G0aNH232Oxx57DP369dODprNnz0JV1WbzDZ2zOUVFRViyZEm7zxtpQohA85PCoIaIYoeUlITe8xci/c77UP7YPJyY919Iu3oNcp77Jay5uUYXjyLA7apExZlSnD7/OSouHEFFbRkqnBU47bmAM6oHh49sx7BhUyNyLimGumR3KKg5fvw45s2bhy1btiA5ueWppxuv+yGEaHMtkJClS5diw4YN2LFjR5NzdDTfRYsWYcGCBfrn6upqDBgQ3aXuwwQ747H5iYhiUdKAARiw7s+o+cdbKH/ypzj1Xw9j4IY3jS4WdVH5qU8w8x+zkJ82BFn2LGSl9cOI/tchu9fX0Kf3pUix94rYuYSInVoaoINBzd69e1FRUYHRo0fraaqqYteuXVi5ciUOBjuelZeXo2/fvvoxFRUVTWpZmrNs2TIUFhbi7bffDuuA3Lt3byiK0qRWpq18bTYbbDbjFtkSqgoAbH4iopglSRLSb74VtW/9Cd4GgzMofuX0vRKXWTLwgym/QK9ew6N6Lr/wQ5Fj5xnXoT41kydPxv79+1FSUqK/xowZg5kzZ6KkpARDhw5FTk4Otm7dqn/H6/Vi586dGD++9VkdX3jhBTz99NPYtGkTxowZE7YvKSkJo0ePDssXALZu3dpmvoYKTngF1tQQUYwTqsolXUxk5ojv4tWdi6N+Hp/qQ5IcOyuhd+hp63A4MGLEiLC01NRUZGZm6unz589HYWEh8vLykJeXh8LCQtjtdsyYMUP/zuzZs9GvXz8UFRUBCDQ5PfHEE1i/fj0GDx6s18ikpaUhLS0NALBgwQLMmjULY8aMwbXXXotVq1bh2LFjePjhhzt/9VEWmsWTNTVEFOuE3x9YW4nimtddhdMV/4YsKXi78lM86DwLu7131M7n03ywyLHzwz3iJVm4cCFcLhfmzJmDyspKjBs3Dlu2bIHDUT+D4bFjxyA3+EXw4osvwuv14q677grL68knn0RBQQEA4J577sG5c+fw1FNP4dSpUxgxYgT+/ve/Y9CgQZG+hIipb36KnT84EVGzVBXgD7CY5nOex+kzpTh97iDKL3yF8toynHZWoMJbDT8CfTitkoIsW0/k2LPw8LDpsCopUS2T0+dEsqXlPrbdTRKx1ssniqqrq5GRkYGqqiqkp6dH/Xz+M2fwxfU3oP9LL8Lx9a9H/XxERJ11fNZ0QFMx4NU3jC5KRFSc/je2l6yCEAICAn7Nh1pvLWp8tSh3n8dZ1Ynn8n+L3NwxbWfWBk1o8Kle+Hwu+PzBly/4Ul3w+d3w+dzwqW74VQ98fk8gTfPA5/fCp3rg07zwqb7AftUDn6caF1znUeGrgT84ZNoiW5Fl64Fsew5y0vsju8dw5GRehKzel8KaFN3gpSUHzh3A9uPbMXfU3Kiep73Pb1YhRBFraogoXghVhWyimpoPD2xEee1JjB4wEZIkQZGtcNh7I82eheysEXjuzZlYuu3HSJdt8Ak/fEKFL7gYZEdXaJQBWCHBKsmwSgqssgUWSYFVVmCVrLDKluDLGngpFljlJFjkJFgVK1IUG6xKCqzWHrBakmBVUmBJy0KPnsOQ1esiWK3GDXhpi9vvRrISOzU1fNpGkfAHgxq2UxNRrFNVwGaeFa1dvlqM6jceE67+UbP7F96yFjV1p5FkSYHFkgKrNQVWayoUS+x0eo0Hbr87ppqfGNREk8rRT0QUH4RfNdUPMJfPiRRby80U9tQ+sKf26cYSmZNbZU1NwuA8NUQUN1TNkIlChRCAEIHJSjUNsFrbPVlra5y+OqQkZUSghNQa1tQkEH1It4l+/RCROQnVj9qP9+PwzZOCQYYIBByaFvgsBIQm6reDx9Rvo35bPx4Njg9tNwhkBNB42aBe374F2U+90OXrcakupCQzqIk2j+pBelL0B960F4OaaArW1MBinnZqIjKnXt/7IWq3bQ5MwBd86dtS8LMkAbISvk9Wmt9WQtuh4xV9u/77SvC4wL7zv/sfeA9/FZHrcfndSEnuEZG8qGUuvwtZ9iyji6FjUBNFnHyPiOJF+h33IP2OewwtQ/WfX45Izbbf58YFXy1SUiK3xhE1z62y+SlhsPmJiKj9hM8PX/U5VL76MuxXXwtbXl6rx7tdlThy7F18eepjfFV5EEfqTsKt+SFDwrDUXGSkD+ymkicuj9/DjsIJI9T8xNFPRERtSho4GBc27UT500VIu+prGLA+MBFgddVxfHX8XRwu/wRfVn6BY64z8ENFsmTB4NS+GNLzIky+5D4MHjghqksCUFMu1cWamkShz1PD5iciomZpXi/8FRXwnz6NlCm3wn/pSFRueAWfnj2E51++FhoE0mQbhjkGYmjmJbjjqrkY2H88rLZUo4tOCNbUMKhJDEJl8xMRJS61tg7+0+Xwnz4Nz6mTqCo7grqyo/CWn4JWcRaWs1Ww1bjDvuNPUuDtlYYhN8/EytmPG1Ryai+36oZNiZ0ZjxnURJM++om3mYjMQwgBtbIS/tOn4Ssvh+vUCVSdOAzXyRPwnS4HKs7Ber4GVpcv7Hsehw2+zHSgTyasIy6BPXcAMvoNQWq/gbBmZ8OSnQ05LS0i89RQ93D5XUixGLPuVHP4tI0iLpNARPFG+P3wnz0Lf3k5vKdPo7bsKGrKjsB9qgzq6QpIZ84j6XwtFL+mf0eTAE9PO9TMHpCyesN2zVik9huIjP7DkNI3F5acHFiysiDbYucXPUWGx+9hTU2i0JufWFNDRDFAra0L9F+pqIDn9ClUlx1GXdkxeE6fgnb6DJSzF5B0wQm5wYR4qkWGJzMNau+eULL6IPmKK5DWbxDS+w+BrW8uLNnZsGRm8t+5LhI+HzSnE5rbA+F2QahqYAStpgVmp9c0QFUhQu+qBmiBd6E2OC6YrqkqhOqH6vdDVX3QVD80nw+a6oOq+gOf/YF3ofr14zVVBVR/MP/gK5gnVA0ieB6h+iFUFeNrvgJGXgB6x0YHbf5XGE3BId1sfiKiaNLcbvjPnIG/ogLe06dRffIIak8GghV/RQXksxdgPV8Lq8cf9j1fihXeTAdEn16wDBuClAn9kN5/KBz9BsGakwNLdjaUHj3YHBRlalUVDky6ARaXN2rnEBIgZAlCkgLvsgwhS0BwG7IEoQQmRhQN0/TjZEAJpiuBiRMVv4qRB8/D/dlBpE1gUGN6bH4iokiq+ecnOPjGK7Ccq4Kv4gyks+dhPV+DpLrwh2Gos62W2QOWPn1gu+xypPYdgPTcwUjKzoY1KwuWPn0gp3IEUSzwHjkCi8uLrMceg23IYEg2W6DmS1ECzw9ZgRQMJMLeG+8PzeLc0nuEuT/7DIdvvwNKuiPieXcWg5oo4ugnIoqkL178OZLe2wvvsH5QsvogaegwpPbtj/TcwUjO6QtLVlag74rDwdqVOOI9eRIA0OOO26FkxM96VWp1NQBAdjCoSQwc/UREEZRxyeWo/ehfGP3GVgYtJnLh2CH4bBbI6bGzMGR7aDU1ABBTgRiftlEk/CogSVGp9iOixJN11bXw/uZ/cexnP4XI6gW/1w3V44bm8UD1eqCFXj4/Bs/+AXqNv8HoIlM7eGouwG9PirtAVa0OBjVpaQaXpB6DmigSqp+1NEQUMfYrroC3Ryr8b7wBNckCzapAWBUIqwXCYgGSLIDVCtuXZSjr+ScGNd3Ae6IMny5ZCMt7+wC9E26wQ67SsDNucx1yA58tVXUQNqvRl9JhWk01pJQUSElJRhdFxyduNPlV9qchoohRMjJwxQcft3ncx1MnIJn/9kSV5nbjq//5OVz/ux5aWgrSf/wILPZUaH5fcJi0Ghg2HRyaHT50un5ItKb6AVVF76vGGX1JHaZW10CJof40AIOaqBKqyrkbiKj7CQFJYrN3NAghcG7T33Ds2aeQdKEWyTO/jWH/+d8JOZJMq6mGHEMjnwAGNdGl+llTQ0TdTxMJv5Cu5vEEJo6LIO+x4/i04L+R/MnnkMeNQF7BUtiGDInoOeJJoKYmtjo3M6iJIuFnnxoi6n6SpkGSEjeoObvpbzgz/ydRyVtkZyD7f36FXpOnRiX/eKLV1kB2xE4nYYBBTVQJ9qkhIiMIAbjc8J440WRKff1dtDztfvPvgWNTr7kG1qwso6+wVbacvhCKDEltX01N6sQbkHHrt9o8TrIlIe2GG7iGVZDmckO2240uRhgGNVEUGP3EoIaIupnVCvxlE778y6aIZ61lOHDpng9ieqoKx6ircGlpaZvHCVXFZ5eNgH3qN5Bxy7RuKJm5CI8HUs+eRhcjDIOaaPKrkBTeYiLqXpf//lV4jx1vOqV+cMp8yHJwev3G781Mw99gmv0Dd98B5ctj8B45AtvQoUZfZpdJigJNAvwej9FFiUua1wPJFjvDuQEGNVElVDY/EVH3Sxo0CEmDBkU83yFPLMGx+x8w1ahOzSLD73UbXYy4JFxuyLZko4sRJnbrD81A9UOymud//ESU2DR34OEvxdiDrCuERYHqY01NZ2hOZ8wNZWdQE0XCrwJsfiIikxDuwMNfTjFPUKNZZKheBjWdoTmd7CicSATnqSEiE/G56wAAUnJsBzVqdTXcBz4FZCnwb7Ak632FbEOHhNUuCIuCqn9swj8Pf9Hu/FP69EXeo0/G3VpNkabV1cVcTQ2DmigKzFPDoIaIzMHnrIWQAMka2+sUffrM41DefKfZfeqNN2DEit/qn23fnIy6vXuBzw+1K29LjQtq+S6oD82DJcZG/nQn4fdDeDysqUkoHP1ERCbiddZCtSoxX0Phra6CuGhAIHgRAtA0CFXDwSWPwfdhMf654IeB2htZBiQZyZddGtiWZUih9OA25MBnKfhZfHUUWvkeyCkpRl+moTSXCwAgpzKoSRgc/UREZuJ31UFNioPHhuqHsCc3WcIg8667cep/fw/vF18G1scKBjwQ0IOfwLuABIR/FkI/Tr5sKKQEn4BPczoBgDU1CYWT7xGRifhdTkgAanfuBGSlvs9Kw/lu5GbmuQnVfITNhSOHzYGDhn1fGs6P04laoZaWqOk//T70n35fBO4EaXWB/lXsU5NABJufiMhEknr0glrrwfGHHu7W82qyBBF6SRLQ8LMsAZIceJclCFmG9UIdfGMu7dYyJhqtjjU1CUeoqqkmqSKixDboB49AvXNGYLqKxmtHaZred6XhmlHQtKbrS2lCX08q8B0VCKZpqgpN9UPz+6Fpfojg59C7FlqHSvUH0v0qhNAaHKMCqoqBN7a9lhN1HpufEpHfD3DyPSIyCUmSYMnMNLoYFAP05qcYC2o4+V4UBToKM6ghIiJz0WtqYqxPDYOaKOLke0REZEaasw6QpJibiJFBTTT5OPqJiIjMR3M6IaekBEapxZDYKo3JsPmJiIjMSKurgxRjE+8BDGqiKjD6iTU1RERkLprTCcUeW/1pAAY10eX3ByaUIiIiMhHN6WRNTaIJ1NTE9sJvREREHaXV1cXccG6AQU1UcfQTERGZkeZ0mi+oKSoqgiRJmD9/vp4mhEBBQQFyc3ORkpKCSZMmobS0tNV8SktLceedd2Lw4MGQJAkrVqxocozf78dPf/pTDBkyBCkpKRg6dCieeuopaJrWlUuILr/K0U9ERGQ6wumMuTlqgC4ENcXFxVi1ahVGjhwZlr506VIsX74cK1euRHFxMXJycjB16lTU1NS0mJfT6cTQoUPx3HPPIScnp9ljnn/+efzmN7/BypUr8emnn2Lp0qV44YUX8Otf/7qzlxB1HP1ERERmpNWZqKamtrYWM2fOxOrVq9GzZ089XQiBFStWYPHixZg+fTpGjBiBtWvXwul0Yv369S3mN3bsWLzwwgu49957YWthOfc9e/bgtttuw7Rp0zB48GDcddddyM/Px8cff9yZS+gWwu/n6CciIjIdzVkH2Syjn+bOnYtp06ZhypQpYemHDx9GeXk58vPz9TSbzYaJEydi9+7dXSrohAkT8M477+Dzzz8HAPzzn//Ee++9h5tvvrnF73g8HlRXV4e9uhVHPxERkQnFak1Nh9tGNm7ciH379qG4uLjJvvLycgBAdnZ2WHp2djaOHj3aySIGPProo6iqqsLFF18MRVGgqiqeffZZ3HfffS1+p6ioCEuWLOnSebuCzU9ERGRGmhn61Bw/fhzz5s3DunXrkNzKeg+SJIV9FkI0Seuo1157DevWrcP69euxb98+rF27FsuWLcPatWtb/M6iRYtQVVWlv44fP96lMnSUUFVIXKWbiIhMJlZHP3Xoibt3715UVFRg9OjRepqqqti1axdWrlyJgwcPAgjU2PTt21c/pqKiokntTUf993//Nx577DHce++9AIDLL78cR48eRVFREb773e82+x2bzdZiH51uweYnIiIyGeHzQXi9MRnUdKimZvLkydi/fz9KSkr015gxYzBz5kyUlJRg6NChyMnJwdatW/XveL1e7Ny5E+PHj+9SQZ1OJ+RGC2cpihLTQ7rZ/ERERGajOZ0AEJPNTx164jocDowYMSIsLTU1FZmZmXr6/PnzUVhYiLy8POTl5aGwsBB2ux0zZszQvzN79mz069cPRUVFAAKBz4EDB/TtsrIylJSUIC0tDcOHDwcA3HrrrXj22WcxcOBAXHbZZfjkk0+wfPlyfO973+v81UcZ134iIiKz0YOaGKypiXg1wsKFC+FyuTBnzhxUVlZi3Lhx2LJlCxwOh37MsWPHwmpdTp48iSuvvFL/vGzZMixbtgwTJ07Ejh07AAC//vWv8cQTT2DOnDmoqKhAbm4uHnroIfzsZz+L9CVEDpufiIjIZLS6OgCAHINrP0lCCGF0IbpLdXU1MjIyUFVVhfT09KieS2gaPrv0MvR99ln0uHN6VM9FRETUXVz/+heOfPseDPm/vyD54ou75ZztfX5z7acoEX4/ALD5iYiITCWW+9QwqImWYFADdhQmIiITieU+NQxqokSoKgBAsjCoISIi89D71DCoSRxsfiIiIjPS6pyALENqZRJeozCoiZZgTQ1HPxERkZmEZhPu6koB0cCgJkr0mhoGNUREZCJaXV1MNj0BDGqiRni9AAApycBlGoiIiCIsVtd9AhjURI0e1NiSDC4JERFR5DCoSUCaxwMAkJIY1BARkXloTmdMzlEDMKiJmlBNjWzkKuFEREQRxj41CUh4Qn1qWFNDRETmEaipYVCTUIQ32PzEmhoiIjIRzemExJqaxFI/+ok1NUREZB5aXR0U9qlJLKGOwjKDGiIiMhHW1CQg4fUBYPMTERGZC4d0JyDh8QTWxuCClkREZCIMahKQ8HpYS0NERKaieb2Az8d5ahKN8HrZSZiIiExFq6sDAMgprKlJKJrHw07CRERkKsLtBgDI9hSDS9I8BjVRIrw+Nj8REZGpCH0JoNh8vjGoiRLh8bD5iYiITEXzhJYAis3nG4OaKGFHYSIiMptYny2fQU2UaF4vpCSr0cUgIiKKGL35yZZscEmax6AmSoTHCzlG2xyJiIg6Q58tn81PiUV4vTFbPUdERNQZItinJlafbwxqooQdhYmIyGzYpyZBBToKM6ghIiLzqO9Tw6AmoWheLyffIyIiU9E8HkCSIFljcyAMg5ooER5vzE5ORERE1BnCHehaIUmS0UVpFoOaKOHaT0REZDZqdTWU9HSji9EiBjVRorldkFNicxw/ERFRZ6hVVVB6ZBhdjBYxqIkS4XJDSo7NBb+IjFRQUABJksJeOTk5+n4hBAoKCpCbm4uUlBRMmjQJpaWlYXmsWrUKkyZNQnp6OiRJwoULF7r5KogSk3rhApSMHkYXo0UMaqJEc7kgpzCoIWrOZZddhlOnTumv/fv36/uWLl2K5cuXY+XKlSguLkZOTg6mTp2Kmpoa/Rin04kbb7wRjz/+uBHFJ0pY6oULUHr2MLoYLbIYXQCz0txuSGx+ImqWxWIJq50JEUJgxYoVWLx4MaZPnw4AWLt2LbKzs7F+/Xo89NBDAID58+cDAHbs2NFdRSYiBIIay0VfM7oYLWJNTRQInw/w+SCz+YmoWV988QVyc3MxZMgQ3Hvvvfjqq68AAIcPH0Z5eTny8/P1Y202GyZOnIjdu3cbVVwiCtJqa6GkOYwuRosY1ESBvjaGnUENUWPjxo3Dyy+/jM2bN2P16tUoLy/H+PHjce7cOZSXlwMAsrOzw76TnZ2t7yMi42hOJ+TUVKOL0SI2P0WB5nQCAKRkNj8RNXbTTTfp25dffjmuvfZaDBs2DGvXrsU111wDAE3mwBBCxOy8GESJRHM6IdvtRhejRaypiQLhdgMAm5+I2iE1NRWXX345vvjiC72fTeNamYqKiia1N0TUvYQQwZoaBjUJRXMFgxp2FCZqk8fjwaeffoq+fftiyJAhyMnJwdatW/X9Xq8XO3fuxPjx4w0sJREJrxdQ1ZiuqWHzUxQItwsAIHFIN1ETP/nJT3Drrbdi4MCBqKiowDPPPIPq6mp897vfhSRJmD9/PgoLC5GXl4e8vDwUFhbCbrdjxowZeh7l5eUoLy/HoUOHAAD79++Hw+HAwIED0atXL6MujcjUQl0rGNQkGM0VCGo4Tw1RUydOnMB9992Hs2fPok+fPrjmmmvwwQcfYNCgQQCAhQsXwuVyYc6cOaisrMS4ceOwZcsWOBz1Iy5+85vfYMmSJfrnG264AQCwZs0a3H///d16PUSJQoT6i8bws00SQgijC9FdqqurkZGRgaqqKqRHce2Kmu3bceI/5iDv3V2w9OkTtfMQERF1F88XX+CrW7+FQRvWw37lld167vY+v9mnJgpCHYVjOZolIiLqiPrmp9gd0s2gJgr0jsIc0k1ERCahBzUc/ZRYNJcTktUKycIuS0REZA7x0FGYQU0UCLebTU9ERGQqpg9qioqK9CGYIUIIFBQUIDc3FykpKZg0aRJKS0tbzae0tBR33nknBg8eDEmSsGLFimaPKysrw3e+8x1kZmbCbrdj1KhR2Lt3b1cuISo0l5tNT0REZCpanROQZUg2m9FFaVGng5ri4mKsWrUKI0eODEtfunQpli9fjpUrV6K4uBg5OTmYOnUqampqWszL6XRi6NCheO6555pduRcAKisrcd1118FqteIf//gHDhw4gJ///Ofo0aNHZy8hajSXk8O5iYjIVEJLJMTykiWd6vRRW1uLmTNnYvXq1XjmmWf0dCEEVqxYgcWLF2P69OkAgLVr1yI7Oxvr16/HQw891Gx+Y8eOxdixYwEAjz32WLPHPP/88xgwYADWrFmjpw0ePLgzxY864WLzExERmYvmjP0f7J2qqZk7dy6mTZuGKVOmhKUfPnwY5eXlyM/P19NsNhsmTpyI3bt3d6mgb775JsaMGYO7774bWVlZuPLKK7F69epWv+PxeFBdXR326g6am81PRERkLporthezBDoR1GzcuBH79u1DUVFRk32hRegaLzyXnZ3dZIG6jvrqq6/w0ksvIS8vD5s3b8bDDz+M//zP/8TLL7/c4neKioqQkZGhvwYMGNClMrSXcLsgcd0nIiIyEc3phBTDw7mBDjY/HT9+HPPmzcOWLVuQ3EpNROP2NiFEl9vgNE3DmDFjUFhYCAC48sorUVpaipdeegmzZ89u9juLFi3CggUL9M/V1dXdEthoThdX6CYiIlMRTpPV1OzduxcVFRUYPXo0LBYLLBYLdu7ciV/96lewWCx6DU3jWpmKioomtTcd1bdvX1x66aVhaZdccgmOHTvW4ndsNhvS09PDXt0hsDR77M64SERE1FGa2YKayZMnY//+/SgpKdFfY8aMwcyZM1FSUoKhQ4ciJycHW7du1b/j9Xqxc+dOjB8/vksFve6663Dw4MGwtM8//1xfBC+WaC5XzHemIiIi6gitzhnTSyQAHWx+cjgcGDFiRFhaamoqMjMz9fT58+ejsLAQeXl5yMvLQ2FhIex2O2bMmKF/Z/bs2ejXr5/eL8fr9eLAgQP6dllZGUpKSpCWlobhw4cDAH784x9j/PjxKCwsxLe//W189NFHWLVqFVatWtX5q4+SeIhmiYiIOkJzOmFpYdqVWBHxefwXLlwIl8uFOXPmoLKyEuPGjcOWLVvgcDj0Y44dOwZZrq8kOnnyJK5ssOLnsmXLsGzZMkycOBE7duwAEBj2/Ze//AWLFi3CU089hSFDhmDFihWYOXNmpC+hywLNTwxqiIjIPOLhB7skhBBGF6K7tHfp8q76fNw16PX9B9H7Bz+I2jmIiIi606EpU5F+883IWvDjbj93e5/fXPspCuIhmiUiIuoIzeWCbI/t/qIMaiJM+HwQPl/Md6YiIiLqiHj4wc6gJsI0lwsAOPqJiIhMQ6gqhMvFoCbR6Euzs6MwERGZhOZyAwCDmkSjBzUx/ocnIiJqL81ZBwCQYvzZxqAmwjQnm5+IiMhcRJz8YGdQE2GhaDbW//BERETtVd8KEduDYBjURFjoDx/rVXRERETtFS9dKxjURJgIjX6K8T88ERFRe+kje2N8EAyDmgjTo1n2qSEiIpPQ6uLj2cagJsK0Oiek5GRIimJ0UYiIiCIiXn6wM6iJMM3livk/OhERUUdoTiekpCRIVqvRRWkVg5oIi4dppImIiDoiXp5tDGoiLF7+8ERERO2lOevi4tnGoCbCtLo6SDG+iikREVFHaE5nzI98AhjURJxWWwslzWF0MYiIiCJGczrjYv41BjURptXWQnYwqCEiIvMQcdK1gkFNhKm1tZDTYnsaaSIioo7QnC7IKQxqEo5WWwslNc3oYhAREUVMvAyCYVATYVptLeQ0BjVERGQeDGoSFIMaIiIyGwY1CUioauAPzz41RERkIgxqEpBwuwEgLjpTERERtRfnqUlAWiio4eR7RERkEkII1tQkIs0VDGqSkw0uCRERUWQInw/w+xnUJBrhCizNLiWzpoaIiMxBOIPPNgY1iUVvfkphTQ0REZmDFgxq4qG/KIOaCNJcLgCAnMKaGiIiMgc9qGFNTWIJjX6SGNQQEZFJ6EENRz8lFv0Pz47CRERkEqypSVBqVTUgSVylm4iITINBTYJSq6ugpKdDknlbiYjIHLQ6BjUJSauuhpyebnQxiIiIIkZzOgFJghQHXSsY1ESQ5nTFRSRLRETUXprTCTklBZIkGV2UNjGoiSDN7WInYSIiMhXN5YQUByOfAAY1ESVcbg7nJiIiUxFxsu4TwKAmojS3mzU1RERkKoHmJwY1CUe43ZC4RAIREZlIPPUXZVATQYGaGjY/ERGReYQ6CscDBjURpLldXMySiIhMRXOxpiYhCZcbko1BDRERmYfmdEK2s6Ym4WhuN2tqiIjIVDSXExJrahKPcLkgsU8NERGZiKjj6KeExCHdRERkNhrnqUk8QtM4pJuIiExHc7k4+inRCI8HADikm4iITEMIEaipSYRlEoqKiiBJEubPn6+nCSFQUFCA3NxcpKSkYNKkSSgtLW01n9LSUtx5550YPHgwJEnCihUrOnxeo2luNwCwozAREZmG8HoBTTN/TU1xcTFWrVqFkSNHhqUvXboUy5cvx8qVK1FcXIycnBxMnToVNTU1LebldDoxdOhQPPfcc8jJyenUeY0mXC4AYEdhIiIyDc3pBABzj36qra3FzJkzsXr1avTs2VNPF0JgxYoVWLx4MaZPn44RI0Zg7dq1cDqdWL9+fYv5jR07Fi+88ALuvfde2Gy2Dp83FrCmhoiIzEYEgxpTj36aO3cupk2bhilTpoSlHz58GOXl5cjPz9fTbDYbJk6ciN27d3etpK2ctyUejwfV1dVhr2jR9JoaBjVERGQOoZqaeJl8z9LRL2zcuBH79u1DcXFxk33l5eUAgOzs7LD07OxsHD16tJNFbPu8LSkqKsKSJUu6dN72EnpNTXz84YmIiNqixdmzrUM1NcePH8e8efOwbt06JLdSIyFJUthnIUSTtGict7FFixahqqpKfx0/frzTZWiL5gr+4VlTQ0REJqE5A60Q8RLUdKimZu/evaioqMDo0aP1NFVVsWvXLqxcuRIHDx4EEKix6du3r35MRUVFk9qbSJ7X4/FAUZQm37PZbK320Ykk4Q42P8XJH56IiKgt8fZs61BQM3nyZOzfvz8s7YEHHsDFF1+MRx99FEOHDkVOTg62bt2KK6+8EgDg9Xqxc+dOPP/8850uZFvnbS6g6W6sqSEiIrOJt2dbh4Iah8OBESNGhKWlpqYiMzNTT58/fz4KCwuRl5eHvLw8FBYWwm63Y8aMGfp3Zs+ejX79+qGoqAhAIPA5cOCAvl1WVoaSkhKkpaVh+PDh7Tqv0bRQNNtNNUNERETRFnq2mbL5qT0WLlwIl8uFOXPmoLKyEuPGjcOWLVvgcDj0Y44dOwZZru/Oc/LkSb1mBwCWLVuGZcuWYeLEidixY0ekixgVwuWGlJwMSeYkzUREZA7C5QIUBbBajS5Ku3Q5qGkcdEiShIKCAhQUFLT7O4MHD4YQokvnNZrmdkNmLQ0REZmI5gos1NyVwT7didUKESLcrrjpSEVERNQemtsFKU7mqAEY1ERMKJolIiIyC+FyxdVCzQxqIkRjTQ0REZlMvP1gZ1ATISLO/vBERERtYfNTgtI8bi5mSUREphL4wc6gJuEEhnTHzx+eiIioLZrLFVetEAxqIkRzs/mJiIjMRbD5KTEJlwsSm5+IiMhENDY/JaZATU38/OGJiIjaorlccdVflEFNhGju+PrDExERtSXQChE/P9gZ1ESIcLkh2RjUEBGRecRbKwSDmggRfj8ka8TXByUiIjKM5o6v6UoY1ESKqgKyYnQpiIiIIkY4nWx+SkRC0yApvJ1ERGQOwu+H8PnY/JSQWFNDREQmork9AMDmp0TEmhoiIjIT4XICAJufEhJraoiIyEQ0txsAIDOoSTysqSEiIjPRXC4AiKslgPgUjhTW1BARkYmIYE0Nm58SjNA0AGBNDRERmYbmDNbUMKhJMKoaeGdNDRERmYTmDgQ1EpufEgtraoiIyGyEMzD6SbanGlyS9uNTOBL8/sC7wmUSiIjIHPSOwpynJrGwpoaIiMxGq3NCSk6GpMRP1wo+hSOBfWqIiMhkNJcrrjoJAwxqIoI1NUREZDaa0wnZbje6GB3Cp3AkBIMayLydRERkDgxqEpRgUENERCajuZyQ7Gx+Sjwi8CZJkrHlICIiihDBmpoEJVhTQ0RE5qI5XZBTGNQkHhGsqgFraoiIyBzYpyZRhfrUsPmJiIhMgkFNggpV1EgygxoiIjIHze2Kq9mEAQY1EaL3FDa2GERERBEi3B5INgY1iUdvfuLtJCIicxAeDyRbktHF6BA+hSNBsKaGiIjMRfN4ICezpibx6EGNscUgIiKKFOF2s/mJiIiI4pvQNAivl81PCSnU7CRaP4yIiCgeCK8XANj8lJD0oEYzthxEREQRINxuAIBksxlcko5hUBMJoeURBKtqiIgo/mkeDwDW1CSoUE0NgxoiIop/ek1NEmtqEk596xODGiIiin/1NTUMahKPxJoaIiIyD+F0AgAkrtKdePQaGq79REREJqAFgxo5NdXgknQMg5qICAQ1EmcUJiIiE1Dr6gAAcmoC1dQUFRVBkiTMnz9fTxNCoKCgALm5uUhJScGkSZNQWlraaj6lpaW48847MXjwYEiShBUrVjR7rrFjx8LhcCArKwu33347Dh482JXiRw6XSSAiIhPR9KAmQWpqiouLsWrVKowcOTIsfenSpVi+fDlWrlyJ4uJi5OTkYOrUqaipqWkxL6fTiaFDh+K5555DTk5Os8fs3LkTc+fOxQcffICtW7fC7/cjPz8fdcEbbyg9qGHFFxERxT+trg6wWiEnJcCMwrW1tZg5cyZWr16Nnj176ulCCKxYsQKLFy/G9OnTMWLECKxduxZOpxPr169vMb+xY8fihRdewL333gtbCxP9bNq0Cffffz8uu+wyXHHFFVizZg2OHTuGvXv3duYSIktfpZs1NUREFP+0OicUe3w1PQGdDGrmzp2LadOmYcqUKWHphw8fRnl5OfLz8/U0m82GiRMnYvfu3V0raSNVVVUAgF69erV4jMfjQXV1ddgrGgQXtCQiIhPR6urirukJACwd/cLGjRuxb98+FBcXN9lXXl4OAMjOzg5Lz87OxtGjRztZxKaEEFiwYAEmTJiAESNGtHhcUVERlixZErHztlygwJsks/mJiIjin+Z0xl0nYaCDNTXHjx/HvHnzsG7dOiS3MnVy41FAQoiIjgx65JFH8K9//QsbNmxo9bhFixahqqpKfx0/fjxiZQgj2PxERETmodXVQbabvKZm7969qKiowOjRo/U0VVWxa9curFy5Uh+NVF5ejr59++rHVFRUNKm96awf/ehHePPNN7Fr1y7079+/1WNtNluLfXQiiqOfiIjIROK1+alDNTWTJ0/G/v37UVJSor/GjBmDmTNnoqSkBEOHDkVOTg62bt2qf8fr9WLnzp0YP358lwoqhMAjjzyC119/Hdu2bcOQIUO6lF9EMaghIiITidegpkM1NQ6Ho0kfltTUVGRmZurp8+fPR2FhIfLy8pCXl4fCwkLY7XbMmDFD/87s2bPRr18/FBUVAQgEPgcOHNC3y8rKUFJSgrS0NAwfPhxAoHPy+vXr8cYbb8DhcOj9dzIyMpCSktLJy4+M0IzCnHyPiIjMQKurgyUz0+hidFiHOwq3ZeHChXC5XJgzZw4qKysxbtw4bNmyBQ6HQz/m2LFjkBt0qj158iSuvPJK/fOyZcuwbNkyTJw4ETt27AAAvPTSSwCASZMmhZ1vzZo1uP/++yN9GR3EmhoiIjIPze2GZDe2wqAzuhzUhIKOEEmSUFBQgIKCgnZ/Z/DgwfXDolvQ1n5DsfmJiIhMRHg8kJPia4VugGs/RQZnFCYiIhMRXi+kOJtNGGBQExGCMwoTEZGJMKhJZKGWMcY0RERkAsLrhdQdU6JEGIOaSAg2P3FGYSIiMgPN64WUZDW6GB3Gp3AkcEZhIiIyETY/JTKOfiIiIpNQL1wA/H4o6RlGF6XDGNREgmCnGiIiMgdfRQUAwNov1+CSdByDmggQep8aBjVERBTfhNsNAJDtJl+lm1rA5iciIjIJzRUMapKTDS5JxzGoiQQGNUREZBKaywkAkJLjb5kEBjWRwBmFiYjIJOqbnxjUJKT6GYWNLQcREVFXsfkp0emtT4xqiIgovgm3C7BYIFk5+V5iYp8aIiIyCc3ljstaGoBBTYQEgxouk0BERHFOc7sgpTCoSVxcpZuIiExCuNyQ43DkE8CgJiKEzwcAcdn+SERE1JDmZvNTQtODmjhc/IuIiKgh4XZBSmFNTcJiTQ0REZkFOwonOAY1RERkFuwonOAY1BARkVmwo3CCE15vYKIiDukmIqI4p7ndkNmnJnEJn4+1NEREZArCxeanhCZ8Po58IiIiUwgM6WZNTcJiTQ0REZmF5nZBZk1N4hJeHySLxehiEBERdZlwuSHFaU0Nn8QRcPbFF40uAlGX1e7cCe+x44AiBzq9y6F3BZAlSIoCSDIkpXFa433B7zY6XrIogKJAslgC+xSl/l1Ps0CyNEhn53uibhfPMwozqImA1OuuQ9377xtdDKJO8544geP/MQdQlECCqtavaWYkWdaDH0lRAqMMW9qW5eb3W4LBkqIAFgVSKMCSQoGbBEAKnEuSAsGaVL8NqeHnpsdLshTIq9njpUC5pPpjGh8vhfbJMiCh0fGhz42O19NaOF6Wg2Vs/XgpWN7Q8WGfO3G8JKH+PjY+XmpYFqnp8bIcvBdS4G/OtfQMIYSI647CDGoiIPnSS+E9etToYhB12vm1L0NJT8fw7dvChnIKTQM0TX+HqjZJE6oKCBHcJwBNbZqm+iFULfiuQvjVwHF+FUL1B47zqy3v9wfzVP0NvqM1SmvHfp8fmuoJ7NdEoIyaBiHqtyFE4LO+rQECgc+aBkAErkn/boP9oeMb7ocIfG6Ydyh/TYNA/XebK0vCCgU3DWvtGr4rSrBWsdG7YmkxXa9lbCE9bH8z6ZIiBwPkDqTrQXTjQLW9nxsEj40/NxdcNglmpWYCygbBdqM8QvOuxWtHYQY1kSA0QGE1OcUntaoKF/78Z2Te/90mc1PozVAGlY3Q4SAoLCDTggGX0JoNqsL268c3CvY00Wh/fX76foTyC363meP1vFs9PpSuBoLS0HsoSO1yulofmKsqhNcLobqbpofeu5gez5SMdKOL0CkMaiJAaALC64Pzk08C/wOGqP+FJeq3A/+YoMGvL9G+/cF8hGj4uYX9+jkb5dPoHxD9Hxv9l2eDX5eN94vm/nETnfhu8PsN713jX6IibGejfW18hmi0u63vN/56a8dHM+9mPjfWsCq+xe3mjw+vxm+4HfjbufZ9Avh86DljRutlIEPoTTLB/kUMMONHWLAT/PdbhIK6xoFoWDBaH/g1/7m5YLTlz2HBb+OAFU0/S1Yr7GPGGHfjuoBBTQTIdjv8p07h6H0meCiE2uMbVVeGVV02bPuW5UBVZ6iPQahfgNQon7Cqz/BTNm07b+Gh3anPjT92Ib9o5t3c55CGAU87tkXDiKqlIFEI/e8oOxzo/aMfwdK7d/PnJ6JO0Ws6OeVHt2FQEwG9H34I6d/MD3wIPcBD26EHndTgF1cLx+nPtGaPa5RPw31h+TSzHwi064Y65bUQbLBjHhERxTMGNREgWSyw5eUZXQwiIqKExt6tREREZAoMaoiIiMgUGNQQERGRKTCoISIiIlNgUENERESmwKCGiIiITIFBDREREZkCgxoiIiIyBQY1REREZAoMaoiIiMgUGNQQERGRKTCoISIiIlNgUENERESmkFCrdAshAADV1dUGl4SIiIjaK/TcDj3HW5JQQU1NTQ0AYMCAAQaXhIiIiDqqpqYGGRkZLe6XRFthj4lomoaTJ0/C4XBAkqRuO291dTUGDBiA48ePIz09vdvOm+h4343B+979eM+NwfvefYQQqKmpQW5uLmS55Z4zCVVTI8sy+vfvb9j509PT+R++AXjfjcH73v14z43B+949WquhCWFHYSIiIjIFBjVERERkCgxquoHNZsOTTz4Jm81mdFESCu+7MXjfux/vuTF432NPQnUUJiIiIvNiTQ0RERGZAoMaIiIiMgUGNURERGQKDGqIiIjIFBjUdMLnn3+O2267Db1790Z6ejquu+46bN++vdljz507h/79+0OSJFy4cKHVfL/88kvccccd6NOnD9LT0/Htb38bp0+fDjumsrISs2bNQkZGBjIyMjBr1qw28zWLaN338vJyzJo1Czk5OUhNTcVVV12FP/3pT50+t5kYec8B4G9/+xvGjRuHlJQU9O7dG9OnT4/EZcU8o+87AHg8HowaNQqSJKGkpKSLVxT7jLrnR44cwYMPPoghQ4YgJSUFw4YNw5NPPgmv1xvJy0sYDGo6Ydq0afD7/di2bRv27t2LUaNG4ZZbbkF5eXmTYx988EGMHDmyzTzr6uqQn58PSZKwbds2vP/++/B6vbj11luhaZp+3IwZM1BSUoJNmzZh06ZNKCkpwaxZsyJ6fbEqGvcdAGbNmoWDBw/izTffxP79+zF9+nTcc889+OSTTzp1bjMx8p7/+c9/xqxZs/DAAw/gn//8J95//33MmDEjYtcWy4y87yELFy5Ebm5ul68lXhh1zz/77DNomobf/va3KC0txS9+8Qv85je/weOPPx7R60sYgjrkzJkzAoDYtWuXnlZdXS0AiLfffjvs2BdffFFMnDhRvPPOOwKAqKysbDHfzZs3C1mWRVVVlZ52/vx5AUBs3bpVCCHEgQMHBADxwQcf6Mfs2bNHABCfffZZhK4wNkXrvgshRGpqqnj55ZfD0nr16iV+97vfdfjcZmLkPff5fKJfv37650Ri5H0P+fvf/y4uvvhiUVpaKgCITz75pEvXFOti4Z43tHTpUjFkyJCOXwgJ1tR0UGZmJi655BK8/PLLqKurg9/vx29/+1tkZ2dj9OjR+nEHDhzAU089hZdffrnVxbdCPB4PJEkKm8QpOTkZsizjvffeAwDs2bMHGRkZGDdunH7MNddcg4yMDOzevTuCVxl7onXfAWDChAl47bXXcP78eWiaho0bN8Lj8WDSpEkdOrfZGHnP9+3bh7KyMsiyjCuvvBJ9+/bFTTfdhNLS0mhcakwx8r4DwOnTp/GDH/wAr7zyCux2e6QvLyYZfc8bq6qqQq9evbp6WYnJ6KgqHp04cUKMHj1aSJIkFEURubm5Yb9k3G63GDlypHjllVeEEEJs3769zYi+oqJCpKeni3nz5om6ujpRW1sr5s6dKwCIH/7wh0IIIZ599lmRl5fX5Lt5eXmisLAwotcYi6Jx34UQ4sKFC+Kb3/ymACAsFotIT08XW7Zs6dC5zcqoe75hwwYBQAwcOFD86U9/Eh9//LG47777RGZmpjh37lw0LjWmGHXfNU0TN954o3j66aeFEEIcPnw4IWpqhDD235eGDh06JNLT08Xq1asjcVkJhzU1QQUFBZAkqdXXxx9/DCEE5syZg6ysLLz77rv46KOPcNttt+GWW27BqVOnAACLFi3CJZdcgu985zvtPn+fPn3wxz/+EX/961+RlpaGjIwMVFVV4aqrroKiKPpxkiQ1+a4Qotn0eGD0fQeAn/70p6isrMTbb7+Njz/+GAsWLMDdd9+N/fv3A0C7zh1P4uGeh/qRLV68GHfeeSdGjx6NNWvWQJIk/PGPf4zsDekm8XDff/3rX6O6uhqLFi2K+PUbIR7ueUMnT57EjTfeiLvvvhvf//73I3IPEo6BAVVMOXPmjPj0009bfblcLvH222836fsihBDDhw8XRUVFQgghrrjiCiHLslAURSiKImRZFgCEoijiZz/7WbvKEor+s7OzxdKlS4UQQvz+978XGRkZTY7PyMgQf/jDH7p2Awxi9H0/dOiQACD+/e9/h6VPnjxZPPTQQ0II0a5zx5N4uOfbtm0TAMS7774bdszVV18tHn/88Ujdim4VD/f9tttuC8tXURQ939mzZ0fhrkRXPNzzkLKyMvG1r31NzJo1S6iqGsG7kFgsBsVSMad3797o3bt3m8c5nU4AaNKeKsuy/uvyz3/+M1wul76vuLgY3/ve9/Duu+9i2LBh7SoLAGzbtg0VFRX41re+BQC49tprUVVVhY8++ghXX301AODDDz9EVVUVxo8f346rjD1G3/eW8lUURc+3PeeOJ/Fwz0ePHg2bzYaDBw9iwoQJAACfz4cjR45g0KBB7bnMmBMP9/1Xv/oVnnnmGX3fyZMn8c1vfhOvvfZaWF++eBEP9xwAysrK8PWvf12vkWxvfx1qhtFRVbw5c+aMyMzMFNOnTxclJSXi4MGD4ic/+YmwWq2ipKSk2e801/Z64sQJcdFFF4kPP/xQT/vDH/4g9uzZIw4dOiReeeUV0atXL7FgwYKwvG688UYxcuRIsWfPHrFnzx5x+eWXi1tuuSUq1xpLonXfvV6vGD58uLj++uvFhx9+KA4dOiSWLVsmJEkSf/vb3zp9bjMw8p4LIcS8efNEv379xObNm8Vnn30mHnzwQZGVlSXOnz8f1es2mtH3vaFE6VNj5D0vKysTw4cPF9/4xjfEiRMnxKlTp/QXdRyDmk4oLi4W+fn5olevXsLhcIhrrrlG/P3vf2/x+Ob+4w/9Y7F9+3Y97dFHHxXZ2dnCarWKvLw88fOf/1xomhaW17lz58TMmTOFw+EQDodDzJw5s82OamYRrfv++eefi+nTp4usrCxht9vFyJEjmwzB7Oi5zcLIe+71esV//dd/iaysLOFwOMSUKVOaVOOblZH3vaFECWqEMO6er1mzRgBo9kUdJwkhRDdWDBERERFFBRvuiIiIyBQY1BAREZEpMKghIiIiU2BQQ0RERKbAoIaIiIhMgUENERERmQKDGiIiIjIFBjVERERkCgxqiIiIyBQY1BAREZEpMKghIiIiU2BQQ0RERKbw/wEvqXlKerweWwAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"checking that the list of borderUnits is contiguous all around\")\n",
    "print(\"number of border units =\",len(borderUnits))\n",
    "for u in borderUnits:\n",
    "    isUnbroken, smallPieceList = isContiguous(list(set(borderUnits).difference({u})),unitNbrs)\n",
    "    if not isUnbroken:\n",
    "        print(\"border is discontig if we skip\",u)\n",
    "        for uu in smallPieceList:\n",
    "            plotPoly(unitGeom[uu],0.5)\n",
    "        plotCenter(u,unitGeom[u])\n",
    "        plotPoly(unitGeom[u])\n",
    "        #plotPoly(countyGeom[29],0.2)\n",
    "        #plotPoly(countyGeom[55], 0.2)\n",
    "        plt.show()\n",
    "borderSet = set(borderUnits)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "93603f77-77fa-4453-b54b-5ea07fcb6721",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "here, we identify 'border' units that aren't needed to define the map border\n",
      "Bueno! no 'border units' that could be eliminated from the border set\n"
     ]
    }
   ],
   "source": [
    "print(\"here, we identify 'border' units that aren't needed to define the map border\")\n",
    "canBeRemoved, powerNeighbors = set(), set()\n",
    "for u in borderUnits:\n",
    "    uNeighbors = list(borderSet.intersection(set(unitNbrs[u])) )\n",
    "    if len(uNeighbors) < 2:\n",
    "        plotPoly(unitGeom[u])\n",
    "        plotCenter(u,unitGeom[u])\n",
    "        uu = uNeighbors[0]\n",
    "        otherBorderNeighbors = set(unitNbrs[uu]).intersection(borderSet).difference({u})\n",
    "        if len(otherBorderNeighbors) > 1:  #this neighbor of our 1-border-neighbor border unit makes a border chain without the problem border unit\n",
    "            canBeRemoved.add(u)\n",
    "            powerNeighbors.add(uu)\n",
    "        plotCenter(uu,unitGeom[uu],6)\n",
    "        plotPoly(unitGeom[uu],0.5)\n",
    "        for uuu in set(unitNbrs[uu]).intersection(borderSet).difference({u}):\n",
    "            plotPoly(unitGeom[uuu])\n",
    "            plotCenter(str(uuu)+\"=N of\"+str(uu),unitGeom[uuu])\n",
    "        for uuu in set(unitNbrs[u]).difference(borderSet):\n",
    "                plotCenter(uuu+0.1,unitGeom[uuu],6)\n",
    "                plotPoly(unitGeom[uuu],0.1)\n",
    "        c = countyNo[allUnits[u]]\n",
    "        #plotPoly(countyGeom[c] )\n",
    "        #plotCenter(c, countyGeom[c])\n",
    "        plt.show()\n",
    "if len(canBeRemoved) == 0:\n",
    "    print(\"Bueno! no 'border units' that could be eliminated from the border set\")\n",
    "else:\n",
    "    print(canBeRemoved,\"is the list of 1-neighbor 'border' units that can be eliminated from the border set\")\n",
    "    print(\"... as they are enveloped on the border; the enveloping border unit has two other map-border neighbors\")\n",
    "    yesRemove = input(\"enter 1 to remove these from the list of border units\")\n",
    "    if int(yesRemove) == 1:\n",
    "        canRemove = True\n",
    "        for uu in powerNeighbors:\n",
    "            testSet = (borderSet.difference(canBeRemoved)).difference({uu})\n",
    "            if not isContiguous(list(testSet),unitNbrs):\n",
    "                canRemove = False\n",
    "                print(\"We can't complete the border if unit\",uu,\"is not included in the ring\")\n",
    "        if canRemove:\n",
    "            borderSet = borderSet.difference(canBeRemoved)\n",
    "            borderList = list(borderSet)\n",
    "            borderUnits = list(borderSet)\n",
    "            print(\"Success! we removed\",canBeRemoved,\"from the list of borderUnits\")\n",
    "    else:\n",
    "        print(\"Fine, be that way.  Sheesh, I will keep them.\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "b13c68e3-33ed-48b3-acca-78012ce0bf61",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "here is the final border set\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for u in borderUnits:\n",
    "    plotPoly(unitGeom[u])\n",
    "print(\"here is the final border set\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "173bb175-312b-4d08-a5b5-80a1d5d70416",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "True\n"
     ]
    }
   ],
   "source": [
    "print(isContiguous(borderUnits,unitNbrs)[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "5acda29e-28a9-474b-9706-20a79121a07e",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter the original HD polygon shape assignment csv, e.g. ./2024state_HD_output/FL7211convexHD2_26nW4_03Mar.csv or ./2024state_HD_output/IN5159convexHD2_9nW4_14Mar.csv ./2024state_HD_output/IN5159convexHD2_9nW4_14Mar.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "I have read back in the original HD shapes\n",
      "County numbers not in input file. Now I will assign each HD center to a county based on the county geoms\n",
      "I found 1 populd HDs whose centers fall outside vtd-based county lines.  Assign to closest county\n",
      "FYI, here are those manually assigned HDcenters to their counties\n",
      "2925 2.136900768812685e-05  is the HD row and its weight in the ensemble\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ready to capture unit centroids based on these HD poly shapes; see next block\n"
     ]
    }
   ],
   "source": [
    "#OPTION 1 - we already have an ensemble of HDpoly's and their weights  # for IN, start w/ option2 after clipPoly, then back to this block\n",
    "#read them in\n",
    "#determine each cluster's required area fraction capture to get 1.00 cluster use across the HD set\n",
    "#then determine total pop (including cluster in/out) for each HD, and total unit use\n",
    "#then move into triage\n",
    "infilename = input(\"enter the original HD polygon shape assignment csv, \"+ \n",
    "                   \"e.g. ./2024state_HD_output/FL7211convexHD2_26nW4_03Mar.csv or ./2024state_HD_output/IN5159convexHD2_9nW4_14Mar.csv\")\n",
    "shapeDF = pd.read_csv(infilename)\n",
    "HDvPop = shapeDF[\"HD-pop\"].to_list()\n",
    "HDweight = shapeDF['HDweight'].to_list() #shapeDF['HDwt'].to_list() or #shapeDF['HDweight'].to_list()\n",
    "HDarea = shapeDF['HDarea'].to_list()\n",
    "#tractPop = shapeDF['tractPop'].to_list()   #we will use vtd-mapped pops instead\n",
    "nHDs = len(shapeDF)\n",
    "hdCPx = shapeDF['centroid x'].to_list()   #note: these may be translated from outcroppings into a convex representation of the map\n",
    "hdCPy = shapeDF['centroid y'].to_list()\n",
    "hdCP = [Point(hdCPx[t], hdCPy[t]) for t in range(nHDs) ]\n",
    "HDradius0 = shapeDF['HDradius0'].to_list()\n",
    "HDradius1 = shapeDF['HDradius1'].to_list()\n",
    "HDradius2 = shapeDF['HDradius2'].to_list()\n",
    "HDradius3 = shapeDF['HDradius3'].to_list()\n",
    "HDangle0 = shapeDF['HDangle0'].to_list()\n",
    "HDangle1 = shapeDF['HDangle1'].to_list()\n",
    "HDangle2 = shapeDF['HDangle2'].to_list()\n",
    "HDangle3 = shapeDF['HDangle3'].to_list()\n",
    "HDradius, HDangle = list(), list()\n",
    "for t in range(nHDs):\n",
    "    HDradius.append( [HDradius0[t],HDradius1[t],HDradius2[t],HDradius3[t] ] )\n",
    "    HDangle.append(  [HDangle0[t], HDangle1[t], HDangle2[t], HDangle3[t]  ] )\n",
    "print(\"I have read back in the original HD shapes\")\n",
    "popHDlist = list()\n",
    "HDpoly = [dummyPoly for t in range(nHDs)]\n",
    "for t in range(nHDs):\n",
    "    if HDweight[t] > 0.000001:\n",
    "        popHDlist.append(t)\n",
    "        HDpoly[t] = buildArcPoly(hdCP[t],HDradius[t], HDangle[t], xScale)\n",
    "if \"pigs\" == \"can fly\": #countyNo in shapeDF.columns.values:\n",
    "    HDcountyNo = shapeDF['countyNo'].to_list()\n",
    "else:\n",
    "    print(\"County numbers not in input file. Now I will assign each HD center to a county based on the county geoms\")\n",
    "    HDcountyNo = [-999]*nHDs\n",
    "    for t in popHDlist:\n",
    "        for c, geom in enumerate(countyGeom):\n",
    "            if geom.contains(hdCP[t]):\n",
    "                HDcountyNo[t] = c\n",
    "                break\n",
    "    unassignedList = list()\n",
    "    for t in popHDlist:\n",
    "        if HDcountyNo[t] == -999:\n",
    "            unassignedList.append(t)\n",
    "    if len(unassignedList) > 0:\n",
    "        print(\"I found\",len(unassignedList),\"populd HDs whose centers fall outside vtd-based county lines.  Assign to closest county\")\n",
    "        for t in unassignedList:\n",
    "            minDist = maxD\n",
    "            for c in range(nCounties):\n",
    "                dist = countyGeom[c].distance(hdCP[t])\n",
    "                if dist < minDist:\n",
    "                    minDist = dist\n",
    "                    HDcountyNo[t] = c\n",
    "if len(unassignedList) > 0:\n",
    "    print(\"FYI, here are those manually assigned HDcenters to their counties\")\n",
    "    for t in unassignedList:\n",
    "        print(t,HDweight[t],\" is the HD row and its weight in the ensemble\")\n",
    "        plotPoly(hdCP[t].buffer(0.1))\n",
    "        plotCenter(int(HDvPop[t]),hdCP[t],6)\n",
    "        plotPoly(countyGeom[HDcountyNo[t]])\n",
    "        plotPoly(MAP,0.2)\n",
    "        plt.show()\n",
    "print(\"Ready to capture unit centroids based on these HD poly shapes; see next block\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "2fb6d6e3-6157-4728-a6e5-ea22ede3de03",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "OPTIONAL - write the unit topology to a file\n"
     ]
    }
   ],
   "source": [
    "date_ = \"14Mar24\"\n",
    "print(\"OPTIONAL - write the unit topology to a file\")   #including parent VTDs\n",
    "unitParentVTDno = [-999 for u in range(nUnits)]\n",
    "for u in range(nUnits):    \n",
    "    if allUnits[u] %1 == 0:\n",
    "        v = allUnits[u]\n",
    "        unitParentVTDno[u] = parentVTDno[v]\n",
    "\n",
    "unitVTDlist = [list() for u in range(nUnits)]\n",
    "for u in range(nUnits):\n",
    "    if allUnits[u] % 1 == 0.5 :\n",
    "        c = int(allUnits[u])\n",
    "        unitVTDlist[u] = countyTractList[c].copy()\n",
    "    if allUnits[u] % 1 == 0.25 :\n",
    "        CCBnumber = int(allUnits[u])\n",
    "        for c in CCBlist[CCBnumber] :\n",
    "            unitVTDlist[u] += countyTractList[c]\n",
    "    if allUnits[u] % 1 == 0:\n",
    "        unitVTDlist[u] = [allUnits[u]]\n",
    "        #for i,uu in enumerate(surrounders):  #no longer tracked\n",
    "         #   if u == uu:\n",
    "         #       unitVTDlist[u].append(surroundedVTDs[i])\n",
    "                \n",
    "unitNo = [u for u in range(nUnits)]\n",
    "unitCPx, unitCPy = [unitCP[u].x for u in range(nUnits)], [unitCP[u].y for u in range(nUnits)]\n",
    "onBorder = [0 for u in range(nUnits)]\n",
    "for u in borderUnits:\n",
    "    onBorder[u] = 1\n",
    "nbrDF = pd.DataFrame( {\"unitNo\":unitNo,\"centroid x\":unitCPx,\"centroid y\":unitCPy,\"unitPop\":unitPop,\"onBorder\":onBorder,\n",
    "                       \"neighborList\":unitNbrs, \"unitVTDlist\":unitVTDlist, \"unitParentVTDno\": unitParentVTDno} )\n",
    "outname = STATE+\"unitTopologies_\"+date_+\".csv\" \n",
    "outpath = \"state_map_files/\"+outname\n",
    "nbrDF.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "c47fa1ff-2bed-4641-96e9-8dbdb7cb6da9",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "working on cluster no 0 containing counties [64, 25, 81]\n",
      "halfway there! last use was 0.93553\n",
      "our final fractional capture area to normalize this cluster's usage is 0.33022 from 682 intersecting HDs\n",
      "working on cluster no 1 containing counties [75, 43, 16]\n",
      "halfway there! last use was 0.86194\n",
      "our final fractional capture area to normalize this cluster's usage is 0.4875 from 537 intersecting HDs\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#continuing w/option 1 - set the cluster area thresholds to unitize cluster use\n",
    "#NOTE -- THIS MAY NOT BE RIGHT -- DEPENDS ON HOW WE GENERATED THE HDpoly's\n",
    "\n",
    "CCBuse, CCBareaFrac, CCBarea = [0. for CCB in CCBlist], [0.5 for CCB in CCBlist], [geo.area for geo in CCBgeom]\n",
    "for j,geo in enumerate(CCBgeom):\n",
    "    nIntersections = 0\n",
    "    print(\"working on cluster no\",j,\"containing counties\",CCBlist[j] )\n",
    "    unitNo = allUnits.index(j+0.25)\n",
    "    HDfrac = [ 0. for t in range(nHDs) ]\n",
    "    for t in range(nHDs):\n",
    "        if HDcountyNo[t] in CCBlist[j]:\n",
    "            HDfrac[t] = 1.\n",
    "        else:\n",
    "            HDfrac[t] = HDpoly[t].intersection(geo).area / CCBarea[j]\n",
    "    idx = np.argsort(HDfrac)\n",
    "    i = nHDs\n",
    "    while CCBuse[j] < 1.000 - 0.5 * nDistricts*np.average(HDweight) and i > 0:\n",
    "        i -=1\n",
    "        nIntersections +=1\n",
    "        t = idx[i]\n",
    "        CCBuse[j] += HDweight[t] * nDistricts\n",
    "        if CCBuse[j] > 0.5 and CCBuse[j] - HDweight[t] * nDistricts < 0.5:\n",
    "            print(\"halfway there! last use was\",r5(HDfrac[t]))\n",
    "            plotPoly(HDpoly[t].intersection(MAP.buffer(1)),0.2)\n",
    "        #origHDlist[t].append(unitNo)  #postpone this until main loop\n",
    "        #origHDpop[t] += CCBpop[j]     #postpone until main\n",
    "    if i <= 1:\n",
    "        print(\"WARNING, only\",r5(CCBuse[j]),\" of a district's worth of ensemble intersected the cluster geometry\")\n",
    "        # Add more stuff here to inflate the poly and try again ...\n",
    "    else:\n",
    "        CCBareaFrac[j] = HDfrac[t]\n",
    "        print(\"our final fractional capture area to normalize this cluster's usage is\",r5(CCBareaFrac[j]),\"from\",nIntersections,\"intersecting HDs\" )\n",
    "        plotPoly(MAP,0.2)\n",
    "        plotPoly(geo,0.8)\n",
    "        plotCenter(j,geo)\n",
    "        plotPoly(HDpoly[t].intersection(MAP.buffer(1)),1.3)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "aad5e7db-93db-43d8-8196-dd6dd02f3014",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0.3302159914650618, 0.4874974707055787] [64, 25, 81, 75, 43, 16]\n"
     ]
    }
   ],
   "source": [
    "#print(\"I am temporarily overriding these area fractions to test our recovery from incorrect starting pts\")\n",
    "#CCBareaFrac = [0.17, 0.25, 0.1]\n",
    "print(CCBareaFrac, allFusedCounties)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "217527a2-0acf-43ec-9a25-09e0aecce76d",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "This is the main code to determine each HD's pop based on UNIT CP's that intersect the HDpoly\n",
      "We'll later add nearby or jettison faraway contiguous units until we approach the aDP\n",
      "  the HD pops and lists already appropriately include captured corner county clusters\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 1 to enforce areaFrac threshold capture for clusters; helps to even up their usage 1\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "enforcing areaFrac capture threshold of 0.33022 for CCBno, uNo 0 5210\n",
      "enforcing areaFrac capture threshold of 0.4875 for CCBno, uNo 1 5211\n",
      "working on HDno 0\n",
      "working on HDno 100\n",
      "working on HDno 200\n",
      "working on HDno 301\n",
      "working on HDno 404\n",
      "working on HDno 505\n",
      "working on HDno 605\n",
      "working on HDno 705\n",
      "working on HDno 808\n",
      "working on HDno 908\n",
      "working on HDno 1008\n",
      "working on HDno 1109\n",
      "working on HDno 1210\n",
      "working on HDno 1312\n",
      "working on HDno 1415\n",
      "working on HDno 1518\n",
      "working on HDno 1620\n",
      "working on HDno 1724\n",
      "working on HDno 1824\n",
      "working on HDno 1924\n",
      "working on HDno 2024\n",
      "working on HDno 2126\n",
      "working on HDno 2227\n",
      "working on HDno 2328\n",
      "working on HDno 2428\n",
      "working on HDno 2529\n",
      "working on HDno 2631\n",
      "working on HDno 2731\n",
      "working on HDno 2831\n",
      "working on HDno 2933\n",
      "working on HDno 3033\n",
      "working on HDno 3134\n",
      "working on HDno 3236\n",
      "working on HDno 3338\n",
      "working on HDno 3441\n",
      "working on HDno 3541\n",
      "working on HDno 3644\n",
      "working on HDno 3744\n",
      "working on HDno 3847\n",
      "working on HDno 3947\n",
      "working on HDno 4047\n",
      "working on HDno 4147\n",
      "working on HDno 4247\n",
      "working on HDno 4347\n",
      "working on HDno 4448\n",
      "working on HDno 4550\n",
      "working on HDno 4650\n",
      "working on HDno 4751\n",
      "working on HDno 4852\n",
      "working on HDno 4952\n",
      "working on HDno 5052\n",
      "working on HDno 5153\n",
      "all done assigning units to HDs based on original HD polygons\n",
      "Here is a scatterplot of active HD pop excess vs relative to target 753947.5555555555\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now, compute the current unit usage, plot its histogram weighted by unit pop\n",
      "unit avg and sd usage are 0.93134 0.13125\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "prior to correcting for discontiguity ...\n",
      "CCB cluster 0 with pop 238369.0 originally had use of 0.9995589142065882\n",
      "CCB cluster 1 with pop 118146.0 originally had use of 1.0002247430116806\n"
     ]
    }
   ],
   "source": [
    "#continuing w/option 1 - now we determine original (nonsmoothed) unit lists for the original HD polygons\n",
    "print(\"This is the main code to determine each HD's pop based on UNIT CP's that intersect the HDpoly\")\n",
    "print(\"We'll later add nearby or jettison faraway contiguous units until we approach the aDP\")\n",
    "print(\"  the HD pops and lists already appropriately include captured corner county clusters\")\n",
    "#see above block for preliminaries\n",
    "nonUnitCounties = list (set([c for c in range(nCounties)]).difference(set(unitCounties)) )\n",
    "areaFrac = [0.5 for u in range(nUnits)]  #default; we will accept unit counties if we capture half their area\n",
    "alter = input(\"enter 1 to enforce areaFrac threshold capture for clusters; helps to even up their usage\")\n",
    "if int(alter) == 1:\n",
    "    for u in range(nUnits):\n",
    "        if allUnits[u] - int(allUnits[u]) == 0.25:  #a county cluster.  Enforce alternate areaFrac's determined above\n",
    "            CCBno = int(allUnits[u] )\n",
    "            areaFrac[u] = CCBareaFrac[CCBno ]\n",
    "            print(\"enforcing areaFrac capture threshold of\",r5(CCBareaFrac[CCBno]),\"for CCBno, uNo\",CCBno,u)\n",
    "\n",
    "origHDpop, origHDlist = [0. for t in range(nHDs)], [list() for t in range(nHDs)]\n",
    "for jj,t in enumerate(popHDlist):\n",
    "    if jj%100 == 0:\n",
    "        print(\"working on HDno\",t)\n",
    "    hC = HDcountyNo[t]\n",
    "    if hC in [ -999]: #allFusedCounties:  #using a swelling technique as original HDpoly's look skewy  BUT THIS IS VERY SLOW FOR INDIANA - WHY ??\n",
    "        origHDpop[t], origHDlist[t] = clusterSwell(hdCP[t], CCBgeom, CCBpop, allUnits, unitCP, unitPop, unitNbrs, aDP)\n",
    "    else:\n",
    "        if hC in unitCounties:\n",
    "            iCP, iClist = countyPop[hC], [allUnits.index(hC+0.5) ] #automatically include the home county if small\n",
    "        else: #must probe in-county list vs HDpoly intersxn\n",
    "            iCP, iClist =  getPolyPop(HDpoly[t], unitCP, unitPop, countyUnitList[hC])\n",
    "        nonCP, nonClist = getNonHCunits(HDpoly[t], hC, allUnits, unitCP, unitPop, allFusedCounties, areaFrac, countyGeom,\n",
    "                                        neighborCountyList, countyUnitList)  #this will miss county clusters; see below\n",
    "        origHDpop[t]  += iCP + nonCP\n",
    "        origHDlist[t] += iClist + nonClist\n",
    "        for j, geo in enumerate(CCBgeom):  #special for corner clusters -- intersection area must clear threshold estbd in a prev block\n",
    "            unitNo = allUnits.index(j+0.25)\n",
    "            if geo.intersection(HDpoly[t]).area >= areaFrac[unitNo] * CCBarea[j]:\n",
    "                origHDpop[t] += unitPop[unitNo]\n",
    "                origHDlist[t].append(unitNo)\n",
    "print(\"all done assigning units to HDs based on original HD polygons\")\n",
    "HDpopExcess = list()\n",
    "for t in popHDlist:\n",
    "    HDpopExcess.append(origHDpop[t] - aDP)\n",
    "print(\"Here is a scatterplot of active HD pop excess vs relative to target\",aDP)\n",
    "plt.scatter(popHDlist, HDpopExcess)\n",
    "plt.axhline(-0.01*aDP,np.min(popHDlist),np.max(popHDlist),ls=\"--\")\n",
    "plt.axhline( 0.01*aDP,np.min(popHDlist),np.max(popHDlist),ls=\"--\")\n",
    "plt.show()\n",
    "\n",
    "print(\"Now, compute the current unit usage, plot its histogram weighted by unit pop\")\n",
    "origUnitUse = [0. for u in range(nUnits)]\n",
    "for t in popHDlist:\n",
    "    for u in origHDlist[t]:\n",
    "        origUnitUse[u] += HDweight[t] * nDistricts\n",
    "plt.hist(origUnitUse,bins=50,weights=unitPop)\n",
    "origUnitUseAvg, origUnitUseSD = getWeightedAvgAndSD(origUnitUse,unitPop)\n",
    "print(\"unit avg and sd usage are\",r5(origUnitUseAvg), r5(origUnitUseSD) )\n",
    "plt.show()\n",
    "print(\"prior to correcting for discontiguity ...\")\n",
    "for u, unitNo in enumerate(allUnits):\n",
    "    if unitNo % 1 == 0.25:\n",
    "        print(\"CCB cluster\",int(unitNo),\"with pop\",unitPop[u],\"originally had use of\",origUnitUse[u])\n",
    "\n",
    "HDunitList = [origHDlist[t].copy() for t in range(nHDs) ]  #for safekeeping\n",
    "HDvPop = origHDpop.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "0fdec9f3-be08-4952-9745-bb0e47e5a04d",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "659 238369.0\n",
      "660 238369.0\n",
      "661 238369.0\n",
      "662 238369.0\n",
      "663 238369.0\n",
      "664 238369.0\n",
      "665 238369.0\n",
      "666 238369.0\n",
      "667 238369.0\n",
      "668 238369.0\n",
      "669 238369.0\n",
      "670 238369.0\n",
      "671 238369.0\n",
      "672 238369.0\n",
      "673 238369.0\n",
      "674 238369.0\n",
      "675 238369.0\n",
      "676 238369.0\n",
      "677 238369.0\n",
      "678 238369.0\n",
      "679 238369.0\n",
      "680 238369.0\n",
      "681 238369.0\n",
      "682 238369.0\n",
      "683 238369.0\n",
      "684 238369.0\n",
      "685 238369.0\n",
      "686 238369.0\n",
      "687 238369.0\n",
      "688 238369.0\n",
      "689 238369.0\n",
      "690 238369.0\n",
      "691 238369.0\n",
      "692 238369.0\n",
      "811 449447.7514566199\n",
      "1355 238369.0\n",
      "2649 399811.48169962864\n",
      "2661 411598.29400420416\n",
      "2682 427806.41995526344\n",
      "2711 404018.063105631\n",
      "2733 443968.8516914154\n",
      "2825 351168.4732501123\n"
     ]
    }
   ],
   "source": [
    "for t in popHDlist:\n",
    "    if HDvPop[t] < 450000:\n",
    "        print(t,HDvPop[t])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "70a8d159-68bb-4436-8a07-0ea73d3f5b94",
   "metadata": {},
   "outputs": [],
   "source": [
    "#END OF OPTION 1 -- SKIP AHEAD TO AFTER OPTION 2\n",
    "###########################"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "e74fe279-1089-4774-8b1f-2bdc8d30887d",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "for some states like FL, we move in partial counties before running option 2\n",
      "adding code here to 'push in' state panhandles ...\n",
      "performing squish no 1 for state IN\n",
      "clipPoly 0 intersects [25, 41, 62, 64, 81, 86] counties and a total of 244 units\n",
      "Here is the original cutLine and an alternate based on cut shapes\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "These are your orig (faint) and squished shapes for clip no 1 out of 1\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 1 when ready 1\n"
     ]
    }
   ],
   "source": [
    "print(\"for some states like FL, we move in partial counties before running option 2\")  #apply for IN's SW corner\n",
    "vtdCP = tractCP.copy()\n",
    "#CODE TO SQUISH GEOMETRIES FROM CLIP LINES INTO THE MAP\n",
    "print(\"adding code here to 'push in' state panhandles ...\")\n",
    "trimDF = pd.read_csv(\"state_map_files/cutNclipPolyLists.csv\")\n",
    "stateRows = trimDF[\"state\"].to_list()\n",
    "DFrow = stateRows.index(STATE)\n",
    "nClips = trimDF[\"nClipPoly\"][DFrow]\n",
    "nCuts  = trimDF[\"nCutPoly\"][DFrow]\n",
    "#Adding in here trimming ops\n",
    "toSquishUnitsList = list()\n",
    "toSquishGeomsList = list()  #combined list of geoms we will squish (over all squish operations)\n",
    "toSquishCountiesList = list()\n",
    "squishedShapesList = list()   #unit shapes after squishing, list over all squish operations\n",
    "if nClips > 0:\n",
    "    clipPoints = ast.literal_eval(trimDF[\"clipPoints\"][DFrow])   #sets of four points\n",
    "    farPoints  = ast.literal_eval(trimDF[\"farPoints\"][DFrow])    #pairs of points\n",
    "    newFarPoints  = ast.literal_eval(trimDF[\"newFarPoints\"][DFrow])   #pairs\n",
    "    cPts = [Point(clipPoints[i][0],clipPoints[i][1]) for i in range(len(clipPoints)) ]\n",
    "    fPts = [Point(farPoints[i][0],farPoints[i][1]) for i in range(len(farPoints)) ]\n",
    "    nfPts = [Point(newFarPoints[i][0],newFarPoints[i][1]) for i in range(len(newFarPoints)) ]\n",
    "    \n",
    "    for clipNo in range(nClips):\n",
    "        print(\"performing squish no\",clipNo+1,\"for state\",STATE)\n",
    "        n0,n1,n2,n3 = int(4*clipNo), int(4*clipNo+1), int(4*clipNo+2), int(4*clipNo+3)\n",
    "        clipPoly = Polygon([cPts[n0],cPts[n1],cPts[n2],cPts[n3] ] )\n",
    "        cutLine = LineString([cPts[n0],cPts[n1]] )\n",
    "        farLine = LineString([fPts[int(2*clipNo)],fPts[int(2*clipNo+1)] ] )\n",
    "        newFarLine = LineString([nfPts[int(2*clipNo)],nfPts[int(2*clipNo+1)] ])\n",
    "        \n",
    "        toSquishCounties = list()\n",
    "        toSquishUnits = list()\n",
    "        for c in range(nCounties):\n",
    "            if clipPoly.intersects(countyGeom[c]):\n",
    "                toSquishCounties.append(c)\n",
    "                if clipPoly.contains(countyGeom[c]):\n",
    "                    toSquishUnits = toSquishUnits + countyTractList[c]\n",
    "                else:\n",
    "                    for t in countyTractList[c]:\n",
    "                        if clipPoly.contains(vtdCP[t]):\n",
    "                            toSquishUnits.append(t)\n",
    "        print(\"clipPoly\",clipNo,\"intersects\",toSquishCounties,\"counties and a total of\",len(toSquishUnits),\"units\")\n",
    "        toSquishGeomUnion = vtdGeom[toSquishUnits[0]]\n",
    "        toSquishGeoms = list()\n",
    "        for t in toSquishUnits:\n",
    "            toSquishGeomUnion = toSquishGeomUnion.union(vtdGeom[t])\n",
    "            toSquishGeoms.append(vtdGeom[t])\n",
    "        unclippedGeom = MAP.difference(toSquishGeomUnion)\n",
    "        altCutLine = toSquishGeomUnion.buffer(0.001).intersection(unclippedGeom)\n",
    "        print(\"Here is the original cutLine and an alternate based on cut shapes\")\n",
    "        #plotPoly(MAP,0.1)\n",
    "        #plotPoly(countyGeom[43])  #uncomment if you want to zoom in on specific counties\n",
    "        #plotPoly(countyGeom[42])\n",
    "        plotPoly(cutLine.buffer(0.01))\n",
    "        plotPoly(altCutLine,0.2)\n",
    "        plt.show()\n",
    "        # could use altCutLine for a more accurate squish at the squish-no_squish boundary ...\n",
    "        #newShapes = squish(clippedGeomList, altCutLine, farLine, newFarLine)\n",
    "        squishedShapes = squish(toSquishGeoms, cutLine, farLine, newFarLine) #..but may distort results\n",
    "        toSquishUnitsList.append(toSquishUnits)\n",
    "        toSquishGeomsList.append(toSquishGeoms)\n",
    "        toSquishCountiesList.append(toSquishCounties)\n",
    "        squishedShapesList.append(squishedShapes)\n",
    "        for geo in toSquishGeoms:\n",
    "            plotPoly(geo,0.1)\n",
    "            plotPoly(geo.centroid.buffer(0.004),0.1)\n",
    "        for geo in squishedShapes:\n",
    "            plotPoly(geo)\n",
    "            plotPoly(geo.centroid.buffer(0.008),0.4)\n",
    "        print(\"These are your orig (faint) and squished shapes for clip no\",clipNo+1,\"out of\",nClips)\n",
    "        plt.show()\n",
    "        pause = input(\"enter 1 when ready\")     "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 160,
   "id": "73dbac1b-4bf3-480a-b028-6edf55a5447d",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "alternate simple approach for Florida Keys - translate all toward county CP\n",
      "I translated 28 vtds toward the center of county 43\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"alternate simple approach for Florida Keys - translate all toward county CP\")\n",
    "c = 43\n",
    "vtdGeom = tractGeom.copy()  #a reset\n",
    "nTranslated = 0\n",
    "newCP = Point(-81, 25.1)\n",
    "for v in countyTractList[c]:\n",
    "    if clipPoly.contains(tractCP[v]):\n",
    "        xDelta, yDelta = newCP.x - tractCP[v].x, newCP.y - tractCP[v].y\n",
    "        xOFF, yOFF = 0.95 * xDelta, 0.95 * yDelta\n",
    "        vtdGeom[v] = translate(vtdGeom[v],xoff= xOFF, yoff=yOFF)\n",
    "        nTranslated +=1\n",
    "print(\"I translated\",nTranslated,\"vtds toward the center of county\",c)\n",
    "hdCP = [vtdGeom[v].centroid for v in range(nTracts)]\n",
    "countyGeom[c] = vtdGeom[countyTractList[c][0]]\n",
    "for v in countyTractList[c]:\n",
    "    countyGeom[c] = countyGeom[c].union(vtdGeom[v])\n",
    "    plotPoly(hdCP[v].buffer(0.03))\n",
    "plotPoly(countyGeom[c])\n",
    "unsquishedMAP = MAP\n",
    "MAP = countyGeom[uncutCountyList[0]]\n",
    "for c in uncutCountyList:\n",
    "    MAP = MAP.union(countyGeom[c])\n",
    "#plotPoly(MAP)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "5dc3a1ca-5aa2-47f9-9685-83a516dcd1fc",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "popHDlist = populatedTractList.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "ecc512e1-cb48-4c0b-90f4-b90458ee23f6",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Here we compute the map's convex hull.  And here is a dot map of the (shifted) unit centerpoints\n",
      "working on HD center 0\n",
      "working on HD center 504\n",
      "working on HD center 1007\n",
      "working on HD center 1516\n",
      "working on HD center 2022\n",
      "working on HD center 2526\n",
      "working on HD center 3029\n",
      "working on HD center 3537\n",
      "working on HD center 4043\n",
      "working on HD center 4546\n",
      "working on HD center 5047\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Note the MAP convex hull.  Overwrite with your own polygon if desired.\n"
     ]
    }
   ],
   "source": [
    "#OPTION 2 - draw polygonal HDs.  #REQUIRES CONSISTENT TREATMENT OF CCB'S  #For IN, we leave CCB's in the map, draw ALL vtds\n",
    "#Can draw for each vtd.  Or, read in tract or blockgroup geometries, use those pops and unit centerpoints\n",
    "print(\"Here we compute the map's convex hull.  And here is a dot map of the (shifted) unit centerpoints\")\n",
    "convexMAP = countyGeom[uncutCountyList[0]]\n",
    "for c in uncutCountyList:\n",
    "    convexMAP = convexMAP.union(countyGeom[c])\n",
    "#convexMAP = MAP.centroid\n",
    "#for c in range(nCounties):\n",
    "#    if c not in allFusedCounties:\n",
    "#        convexMAP = convexMAP.union(countyGeom[c])\n",
    "MAPhull = convexMAP.convex_hull.buffer(0.01*convexMAP.area**0.5)\n",
    "plotPoly(MAPhull)\n",
    "hdCP = [vtdGeom[v].centroid for v in range(nTracts)]\n",
    "popHDlist = list()\n",
    "for t in range(nTracts):\n",
    "    if tractPop[t] > 0:\n",
    "        popHDlist.append(t)\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%500 == 0:\n",
    "        print(\"working on HD center\",t)\n",
    "    if hdCP[t].disjoint(convexMAP.convex_hull):\n",
    "        plotPoly(hdCP[t].buffer(0.03))\n",
    "        hdCP[t] = nearest_points(convexMAP.convex_hull,hdCP[t])[0]\n",
    "        plotCenter(\"m\",hdCP[t])\n",
    "    else:\n",
    "        plotPoly(hdCP[t].buffer(0.01))\n",
    "plotPoly(convexMAP)\n",
    "plotPoly(convexMAP.convex_hull)\n",
    "plotPoly(MAPhull)\n",
    "for c in allFusedCounties:\n",
    "    plotPoly(countyGeom[c],0.2)\n",
    "plt.show()\n",
    "\n",
    "print(\"Note the MAP convex hull.  Overwrite with your own polygon if desired.\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "650ae996-d3ca-422f-8ab0-3ffa3cf6eb67",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "We will draw a total of 5159 HDs if you also uncount unpopulated VTDs\n"
     ]
    }
   ],
   "source": [
    "nHDs = nTracts  #need to run this if we start option 2 from a vest list, not a previously run HD poly list\n",
    "print(\"We will draw a total of\",nHDs,\"HDs if you also uncount unpopulated VTDs\")\n",
    "HDcountyNo = countyNo.copy()\n",
    "populatedTractList = popHDlist.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "54f09a52-c279-4647-9860-0729d1912b4e",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Let us establish the (post-squish) point-point distances for all units, about 8 min for 4000-unit state\n",
      "working on unit-unit distances for unit 0 out of 5159 . Time = 0\n",
      "working on unit-unit distances for unit 404 out of 5159 . Time = 98\n",
      "working on unit-unit distances for unit 807 out of 5159 . Time = 177\n",
      "working on unit-unit distances for unit 1209 out of 5159 . Time = 252\n",
      "working on unit-unit distances for unit 1618 out of 5159 . Time = 320\n",
      "working on unit-unit distances for unit 2022 out of 5159 . Time = 386\n",
      "working on unit-unit distances for unit 2425 out of 5159 . Time = 441\n",
      "working on unit-unit distances for unit 2827 out of 5159 . Time = 488\n",
      "working on unit-unit distances for unit 3232 out of 5159 . Time = 526\n",
      "working on unit-unit distances for unit 3640 out of 5159 . Time = 558\n",
      "working on unit-unit distances for unit 4043 out of 5159 . Time = 583\n",
      "working on unit-unit distances for unit 4444 out of 5159 . Time = 600\n",
      "working on unit-unit distances for unit 4847 out of 5159 . Time = 609\n",
      "All done; total elapsed  612 seconds for IN with 9 districts to map\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#continuing option 2 ....... ##########  THIS IS FOR TRACT - TRACT; SEE LATER FOR unit - unit ...\n",
    "print(\"Let us establish the (post-squish) point-point distances for all units, about 8 min for 4000-unit state\")\n",
    "#NOTE: FOR LARGE STATES, RESTRICT THE SEARCH TO COUNTIES WITHIN A 3/SQRT(nDistrict) DIAMETER OF THE HOME UNIT\n",
    "uuDist = [[int(maxD+1) for t in range(nHDs)] for t in range(nHDs)] #default = too big to capture\n",
    "closeCountyList = [list() for c in range(nCounties)]\n",
    "closeCountyDist = maxD   #min(maxD,3./float(nDistricts)**0.5 * maxD )  #use above maxD for these counties as well\n",
    "xScaleSquared = xScale*xScale\n",
    "if nDistricts < 10: #closeCountyDist >= maxD:  #small state\n",
    "    closeCountyList = [[i for i in range(nCounties)] for c in range(nCounties)]  #all counties are close enough\n",
    "else:\n",
    "    for c in uncutCountyList:\n",
    "        closeCountyList[c].append(c)\n",
    "        for cc in range(c+1,nCounties):\n",
    "            if cc in uncutCountyList:\n",
    "                if cc in neighborCountyList[c]:\n",
    "                    closeCountyList[c].append(cc)\n",
    "                    closeCountyList[cc].append(c)\n",
    "                else:    \n",
    "                    dist = getLongDist(countyCP[c], countyCP[cc],xScale)\n",
    "                    if dist < closeCountyDist:\n",
    "                        closeCountyList[c].append(cc)\n",
    "                        closeCountyList[cc].append(c)\n",
    "startTime = time.time()\n",
    "#populatedTractList = popHDlist.copy()  #nomenclature\n",
    "for i,t in enumerate(populatedTractList):\n",
    "    if i %400 == 0:\n",
    "        print(\"working on unit-unit distances for unit\",t,\"out of\",nHDs,\". Time =\",int(time.time() - startTime))\n",
    "    uuDist[t][t] == 0.\n",
    "    for tt in populatedTractList:\n",
    "        if tt > t and (HDcountyNo[tt] in closeCountyList[HDcountyNo[t]] or HDcountyNo[t] == HDcountyNo[tt]):  #time-saver; do the triangle matrix\n",
    "                dist = getLongDist(hdCP[t], hdCP[tt],xScale)\n",
    "                uuDist[t][tt], uuDist[tt][t] = dist, dist\n",
    "print(\"All done; total elapsed \",int(time.time()-startTime),\"seconds for\",STATE,\"with\",nDistricts,\"districts to map\" )\n",
    "plt.hist(uuDist)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "bc91a02a-52b2-4ac3-afc2-7f1650e32922",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "similar to above, but for angles\n",
      "working on unit-unit angles for unit 0 out of 5159 . Time = 0\n",
      "working on unit-unit angles for unit 200 out of 5159 . Time = 27\n",
      "working on unit-unit angles for unit 404 out of 5159 . Time = 51\n",
      "working on unit-unit angles for unit 604 out of 5159 . Time = 76\n",
      "working on unit-unit angles for unit 807 out of 5159 . Time = 98\n",
      "working on unit-unit angles for unit 1007 out of 5159 . Time = 119\n",
      "working on unit-unit angles for unit 1209 out of 5159 . Time = 139\n",
      "working on unit-unit angles for unit 1413 out of 5159 . Time = 158\n",
      "working on unit-unit angles for unit 1618 out of 5159 . Time = 175\n",
      "working on unit-unit angles for unit 1822 out of 5159 . Time = 192\n",
      "working on unit-unit angles for unit 2022 out of 5159 . Time = 208\n",
      "working on unit-unit angles for unit 2224 out of 5159 . Time = 222\n",
      "working on unit-unit angles for unit 2425 out of 5159 . Time = 235\n",
      "working on unit-unit angles for unit 2627 out of 5159 . Time = 248\n",
      "working on unit-unit angles for unit 2827 out of 5159 . Time = 260\n",
      "working on unit-unit angles for unit 3029 out of 5159 . Time = 271\n",
      "working on unit-unit angles for unit 3232 out of 5159 . Time = 281\n",
      "working on unit-unit angles for unit 3437 out of 5159 . Time = 291\n",
      "working on unit-unit angles for unit 3640 out of 5159 . Time = 298\n",
      "working on unit-unit angles for unit 3843 out of 5159 . Time = 305\n",
      "working on unit-unit angles for unit 4043 out of 5159 . Time = 311\n",
      "working on unit-unit angles for unit 4243 out of 5159 . Time = 316\n",
      "working on unit-unit angles for unit 4444 out of 5159 . Time = 321\n",
      "working on unit-unit angles for unit 4646 out of 5159 . Time = 324\n",
      "working on unit-unit angles for unit 4847 out of 5159 . Time = 326\n",
      "working on unit-unit angles for unit 5047 out of 5159 . Time = 327\n",
      "All done with angles; total elapsed seconds = 327\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#continuing option 2 \n",
    "print(\"similar to above, but for angles\")  #convention is angle[a][b] is from a to b\n",
    "uuAngle = [[0. for t in range(nHDs)] for t in range(nHDs)]\n",
    "\n",
    "pi = 3.141592653\n",
    "twoPi = pi*2.\n",
    "startTime = time.time()\n",
    "for i, t in enumerate(populatedTractList):\n",
    "    if i %200 == 0:\n",
    "        print(\"working on unit-unit angles for unit\",t,\"out of\",nHDs,\". Time =\",int(time.time() - startTime)  )\n",
    "    for tt in populatedTractList:\n",
    "        if tt > t and (HDcountyNo[tt] in closeCountyList[HDcountyNo[t]] or HDcountyNo[t] == HDcountyNo[tt]):  #time-saver; do the triangle matrix\n",
    "            angLE = math.atan2(hdCP[tt].y - hdCP[t].y, xScale * (hdCP[tt].x - hdCP[t].x) )\n",
    "            uuAngle[t][tt], uuAngle[tt][t] = angLE % twoPi, (angLE + pi) % twoPi\n",
    "print(\"All done with angles; total elapsed seconds =\",int(time.time()-startTime) )\n",
    "plt.hist(uuAngle)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "4e4690c9-a317-4944-b5fa-8ba6af7c26e9",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "6785528.0 6785528 0.9999999999999999\n"
     ]
    }
   ],
   "source": [
    "HDweight = [0 for t in range(nHDs)]\n",
    "for t in populatedTractList:\n",
    "    HDweight[t] = tractPop[t] / statePop #skipping the cutList tracts\n",
    "print(statePop,np.sum([tractPop[t] for t in populatedTractList]), np.sum(HDweight)) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "3214fdc5-d104-4164-9478-7ab097ce01e1",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Here is the main code to draw 4-wedge Home Districts for each populated HD centerpoint\n",
      "For each Home District, we will consider a wedge as one-from-full when it is within 1062.106 of targetWedgePop\n",
      "I am working on HD number 0 of 5159 HDs.  Elapsed sec = 0\n",
      "I am working on HD number 404 of 5159 HDs.  Elapsed sec = 89\n",
      "I am working on HD number 807 of 5159 HDs.  Elapsed sec = 179\n",
      "I am working on HD number 1209 of 5159 HDs.  Elapsed sec = 269\n",
      "I am working on HD number 1618 of 5159 HDs.  Elapsed sec = 362\n",
      "I am working on HD number 2022 of 5159 HDs.  Elapsed sec = 455\n",
      "I am working on HD number 2425 of 5159 HDs.  Elapsed sec = 528\n",
      "I am working on HD number 2827 of 5159 HDs.  Elapsed sec = 630\n",
      "I am working on HD number 3232 of 5159 HDs.  Elapsed sec = 708\n",
      "I am working on HD number 3640 of 5159 HDs.  Elapsed sec = 793\n",
      "I am working on HD number 4043 of 5159 HDs.  Elapsed sec = 876\n",
      "I am working on HD number 4444 of 5159 HDs.  Elapsed sec = 946\n",
      "I am working on HD number 4847 of 5159 HDs.  Elapsed sec = 1013\n",
      "1068.474 seconds elapsed. All done computing HD shapes and tractlists.  Here is a histogram of unit usage.\n",
      "unit avg and sd usage are 0.9997 0.13711\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "here are your HD pops\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#continuing option 2 .......\n",
    "# BELOW modified Dec23 to use inter-unit distances and angles, (counties still wedgeIntersxn) otherwise similar to HD2\n",
    "# --THIS ESSENTIALLY TAKES THE ORIGINAL TRACT-BASED HD centerpoints, and redraws HD2 districts after convexifying corners and convex_hull\n",
    "print(\"Here is the main code to draw 4-wedge Home Districts for each populated HD centerpoint\") \n",
    "#this is a hybrid of HD2 and the organic code, in that all wedge tracts must be in a chain of neighboring counties\n",
    "#General sequence: draw 4 equi-angle wedges with random starting orientation.  If not all can fill a quarter aDP ...\n",
    "# ... find the closest map boundary point to the tract center point in the shortest wedge.  Orient the 0th wedge to face this point\n",
    "# ... determine the \"maxWedgePop\" for this short wedge and the other three wedges extended past the boundary\n",
    "# ...  if this results in only one short wedge, or opposing short wedges, adjust wedge angles\n",
    "# Regardless of whether we re-oriented or adjusted angles, compute each wedgePop for infinite radius\n",
    "#   ... then adjust other targetWedgePops if some found to be short.\n",
    "#   ... for non-shorted wedges, use bisection method to adjust radius to meet targetWedgePop\n",
    "#   ... once total HDpop within tolerance, add/subtract a tract fraction to fulfill HDpop\n",
    "#  create a list of fully used tracts per HD, save the tract# of the split tract and its fractional use\n",
    "#  Compute tractUse across all HDs at the end from the tractUsageLists.  Defer patching and partisan calcs to another code\n",
    "\n",
    "pi=3.1415926536\n",
    "#MAPhull = MAP.convex_hull #used for exitAngle calc.  Defined in an above block to allow user modification\n",
    "nWedges = 4  #number of wedges per home district polygon  \n",
    "avgWedgeAngle = 2.*pi / nWedges\n",
    "angle, angle2, wedgePoly = [0.]*nWedges, [0.]*nWedges, [dummyPoly]*nWedges  #start and stop angle of each wedge\n",
    "pt1, pt2, pt3 = [Point(0,0)]*nWedges, [Point(0,0)]*nWedges, [Point(0,0)]*nWedges #these four define the polygon wedge for a growing home district\n",
    "tractUse = [0.] * nHDs  #this will store how much we use this tract in ALL HD's vs. expectation\n",
    "HDtractList = [list()]*nHDs\n",
    "splitTractNo = [-999]*nHDs  #the tract that is only partially used to finish each HD\n",
    "splitTractUse = [0.]*nHDs  #and this is what fraction of the split tract is included\n",
    "HDvPop = [0.]*nHDs\n",
    "#HDweight = [tractPop[t] / (statePop - excludedPop) for t in range(nTracts)]  #relative weight of each drawn HD\n",
    "HDPoly1 = [dummyPoly]*nHDs  #final 4-wedge shape, unionized from blockgroups / tracts\n",
    "HDarea = [0.]*nHDs  #geographical area of each home district (after boundary trim)\n",
    "HDradius = [[0.]*nWedges for t in range(nHDs)] #final wedge length for each Home District wedge\n",
    "HDangle = [[0.]*nWedges for t in range(nHDs)] #final starting angle for each HD wedge\n",
    "angle0 = [-999.] * nHDs  #orientation of 0th wedge.  Random except re-oriented if we are near-boundary\n",
    "avgTractPop = statePop/len(populatedTractList)\n",
    "tolerPops = [0.8 * avgTractPop, 0.5 * np.max(tractPop)]  #threshold gap before adding one more unit to a wedge \n",
    "tolerPop = tolerPops[0]\n",
    "print(\"For each Home District, we will consider a wedge as one-from-full when it is within\",r3(tolerPops[0]),\"of targetWedgePop\")\n",
    "tractPrintInterval = 400  #for tracking progress\n",
    "levelL = 0.36 #sqrt(pop) for angle=std  These two control distortion in wedge angles relative to wedgePop shortness\n",
    "maxAngleRatio = 1.9  #for tightening tract weighting near boundaries  #HD2\n",
    "maxAngle = 1.8*pi/2. # limit to avoid wedges too close to half a pie\n",
    "minAdjRatio = 0.5  #min ratio of pop of adjacent wedge (to min wedge) to targetWedgePop to not consider this a corner HD\n",
    "maxUncap = 0.5 #the max ratio of uncaptured pop in a maxWedge vs. target wedge pop that we will not stretch to include (7/23)\n",
    "oppWt = 0.0    #the fraction of gap between normal targetWedgePop and the minWedgePop that we allow the opposite wedge to add to tgtPop = minWedgePop\n",
    "maxWedgePop = [0.] * nWedges  #wedge pop if we explode wedge to maximum radius\n",
    "printDebug = \"no\"\n",
    "codeStartTime = time.time()\n",
    "hdCPpop = [HDweight[t] * statePop for t in range(nHDs)]\n",
    "countyHDlist = [list() for c in range(nCounties)]\n",
    "for t in populatedTractList:\n",
    "    countyHDlist[HDcountyNo[t]].append(t)\n",
    "\n",
    "for kkkj, t in enumerate(populatedTractList):  #range(nTracts) : #loop on each tract. \n",
    "    hC = HDcountyNo[t]     #this tract's home county\n",
    "    HDtractList[t] = [t] #seed the list of tracts in this HD\n",
    "    wedgeList = [list() for w in range(nWedges)]   #list of each wedge's tracts, excluding home tract\n",
    "    barredList = list()  #list of wedge numbers for which we are barred from altering their targetWedgePops\n",
    "    if (kkkj % tractPrintInterval) == 0 : \n",
    "        print(\"I am working on HD number {0} of {1} HDs.  Elapsed sec = {2}\".format(t,nHDs,int(time.time()-codeStartTime) ) )  \n",
    "    nActiveWedges = nWedges #active wedges have not run over boundary\n",
    "    wedgePop = [0.]*nWedges\n",
    "    targetWedgePop = [aDP / nWedges]*nWedges  #at beginning, split districtPop equally among wedges\n",
    "    \n",
    "    angle0[t] = random.uniform(0,2.*pi)  #imparts random orientation to the midangle of our starting wedge\n",
    "    wedgeAngle = [avgWedgeAngle for w in range(nWedges) ] #reset to equi-angle when starting each tract\n",
    "    for nW in range(nWedges-1):\n",
    "        wedgeAngle[nW] += random.uniform(-0.0001,0.0001)  #this wiggle solves a later indexing ambiguity for corner tracts\n",
    "    wedgeAngle[nWedges-1] = 2.*pi - (np.sum(wedgeAngle) - wedgeAngle[nWedges-1] ) #squaring up to 2pi total\n",
    "    startAngle = [angle0[t] for nW in range(nWedges)]\n",
    "    for nW in range(1,nWedges):\n",
    "        startAngle[nW] = startAngle[nW-1] + wedgeAngle[nW-1]\n",
    "    endAngle = [startAngle[nW] + wedgeAngle[nW] for nW in range(nWedges)]\n",
    "    #  TRIAL LOOP TO SEE WHICH WEDGES CAN FILL TO TARGET POP w/equiangle wedges\n",
    "    maxWedgePoly = [ buildWedge(hdCP[t],startAngle[nW],endAngle[nW], maxD, xScale) for nW in range(nWedges) ]    \n",
    "    maxWedgePop =[ hdCPpop[t]*wedgeAngle[nW]/(2.*pi) for nW in range(nWedges) ]  #seed wedge with fraction of its home tract pop\n",
    "    willFill = [0] * nWedges #would this wedge meet its target with infinite radius?\n",
    "    for nW in range(nWedges):   #... then add in-county Pop and wedge Pop from contiguous chain of counties\n",
    "        iCP, Li   = getCountyWP(t,maxWedgePoly[nW], hdCP, hdCPpop, countyHDlist[hC])\n",
    "        #nonCP, Ln = getNonCWP(maxWedgePoly[nW], hC, tractCP, tractPop, countyGeom, countyPop, countyTractList, neighborCountyList) \n",
    "        nonCP, Ln = getNonCWP_c(startAngle[nW],endAngle[nW], hC, hdCP, hdCPpop, countyGeom, countyPop, countyHDlist,\n",
    "                                neighborCountyList, uuDist[t], uuAngle[t], maxWedgePoly[nW])\n",
    "        maxWedgePop[nW] += (iCP + nonCP)\n",
    "        wedgeList[nW] = Li + Ln\n",
    "        if maxWedgePop[nW] > targetWedgePop[nW]:\n",
    "            willFill[nW] = 1\n",
    "     \n",
    "    if np.sum(willFill) < nWedges:  #at least one wedge couldn't reach its wedgePop target (went over boundary) ...\n",
    "        minW = maxWedgePop.index(np.min(maxWedgePop)) #.. so we will orient the 0th wedge to face the shortest wedgePop's closest boundary\n",
    "        exitAngle = getExitAngle(hdCP[t],maxWedgePoly[minW], MAPhull, startAngle[minW], endAngle[minW])\n",
    "        angle0[t] = exitAngle - 0.5*(2.*pi / nWedges)  #Now reset all angles based on new starting orientation.  All wedge angles still equal\n",
    "        startAngle = [angle0[t] for nW in range(nWedges)]\n",
    "        for nW in range(1,nWedges):\n",
    "            startAngle[nW] = startAngle[nW-1] + wedgeAngle[nW-1]\n",
    "        endAngle = [startAngle[nW] + wedgeAngle[nW] for nW in range(nWedges)]\n",
    "        maxWedgePoly = [buildWedge(hdCP[t],startAngle[nW],endAngle[nW], maxD, xScale) for nW in range(nWedges) ]\n",
    "        \n",
    "        willFill = [0]*nWedges\n",
    "        #Now re-calc each maxWedgePop if we extend wedge's radius past map with new angle0 orientation (wedge angles still constant)\n",
    "        maxWedgePop =[ hdCPpop[t]*wedgeAngle[nW]/(2.*pi) for nW in range(nWedges) ]  #seed wedge with fraction of its home tract pop        \n",
    "        for nW in range(nWedges):   #... then add in-county and nonCounty wedge Pop from contiguous chain of counties\n",
    "            iCP, Li   = getCountyWP(t,maxWedgePoly[nW], hdCP, hdCPpop, countyHDlist[hC])\n",
    "            #nonCP, Ln = getNonCWP(maxWedgePoly[nW], hC, tractCP, tractPop, countyGeom, countyPop, countyTractList, neighborCountyList)\n",
    "            nonCP, Ln = getNonCWP_c(startAngle[nW],endAngle[nW], hC, hdCP, hdCPpop, countyGeom, countyPop, countyHDlist,\n",
    "                                    neighborCountyList, uuDist[t], uuAngle[t], maxWedgePoly[nW])\n",
    "            maxWedgePop[nW] += (iCP + nonCP)\n",
    "            wedgeList[nW] = Li + Ln\n",
    "            if maxWedgePop[nW] > targetWedgePop[nW]:\n",
    "                willFill[nW] = 1       \n",
    "    \n",
    "    if np.sum(willFill) < nWedges:  #check if we need to modify wedge angles after possible re-orientation.  \n",
    "        # If so, re-draw maxWedgePoly's, re-calc maxWedgePops\n",
    "        nUnfilledWedges = nWedges - np.sum(willFill)\n",
    "        isChange, newInclA = getNewAngles(maxWedgePop, targetWedgePop, aDP, levelL, minAdjRatio, maxAngle, maxAngleRatio, nUnfilledWedges )\n",
    "        if isChange: #no longer equi-angle\n",
    "            newStartAngle = [0.5*(startAngle[nW]+endAngle[nW]) - 0.5*newInclA[nW] for nW in range(nWedges) ]\n",
    "            newEndAngle =   [0.5*(startAngle[nW]+endAngle[nW]) + 0.5*newInclA[nW] for nW in range(nWedges) ]\n",
    "            startAngle, endAngle, wedgeAngle = newStartAngle.copy(), newEndAngle.copy(), newInclA.copy()\n",
    "            maxWedgePoly = [ buildWedge(hdCP[t],startAngle[nW],endAngle[nW], \n",
    "                                        maxD/math.cos(0.5*wedgeAngle[nW]), xScale ) for nW in range(nWedges) ]\n",
    "            willFill = [0]*nWedges\n",
    "            #Now re-calc each maxWedgePop if we extend wedge's radius past map with new angle0 orientation and new wedge angles\n",
    "            maxWedgePop =[ hdCPpop[t]*wedgeAngle[nW]/(2.*pi) for nW in range(nWedges) ]  #seed wedge with fraction of its home tract pop\n",
    "            for nW in range(nWedges):   #... then add in-county Pop and wedge Pop from contiguous chain of counties\n",
    "                iCP, Li   = getCountyWP(t,maxWedgePoly[nW], hdCP, hdCPpop, countyHDlist[hC])                \n",
    "                #nonCP, Ln = getNonCWP(maxWedgePoly[nW], hC, tractCP, tractPop, countyGeom, countyPop, countyTractList, neighborCountyList)\n",
    "                nonCP, Ln = getNonCWP_c(startAngle[nW],endAngle[nW], hC, hdCP, hdCPpop, countyGeom, countyPop, countyHDlist,\n",
    "                                        neighborCountyList, uuDist[t], uuAngle[t], maxWedgePoly[nW])\n",
    "                maxWedgePop[nW] += (iCP + nonCP)\n",
    "                wedgeList[nW] = Li + Ln\n",
    "            minW = wedgeAngle.index(np.max(wedgeAngle)) #should be 0th wedge, but playing it safe.  This is the 1st wide-angle wedge ..\n",
    "            oppW = int(int(minW+nWedges/2)%nWedges)   #and its opposite\n",
    "            if maxWedgePop[minW] > maxWedgePop[oppW] and maxWedgePop[oppW] < aDP / nWedges:  #minW and oppW are flipped after inclA adjmt\n",
    "                oppW = minW\n",
    "                minW = int(int(minW+nWedges/2)%nWedges)\n",
    "            if maxWedgePop[minW] < targetWedgePop[oppW]:  #we need to constrain oppW in this HD2 implementation; redistribute tgt to adjacents\n",
    "                maxNonOppW = np.sum(maxWedgePop) - maxWedgePop[oppW] #...but only if other wedges can pick up slack; need to check\n",
    "                minOppWedgePop = aDP - maxNonOppW  #cannot set oppW target below this or we won't reach aDP across all wedges\n",
    "                barredList = [oppW]\n",
    "                targetWedgePop[oppW] = max(minOppWedgePop, maxWedgePop[minW] + oppWt * (targetWedgePop[oppW] - maxWedgePop[minW]) )\n",
    "                tWPgap = aDP / float(nWedges) - targetWedgePop[oppW] \n",
    "                for nW in range(nWedges):\n",
    "                    if nW != minW and nW != oppW:\n",
    "                        targetWedgePop[nW] += tWPgap/float(nWedges - 2.)  #if oppW target is limited, allot to adjacent wedges\n",
    "            for nW in range(nWedges):\n",
    "                if maxWedgePop[nW] > targetWedgePop[nW]:\n",
    "                    willFill[nW] = 1  \n",
    "    \n",
    "    if abs(np.sum(targetWedgePop) / aDP - 1.) > 0.001:\n",
    "        raise Exception(\"FAIL! Our target wedgepops\",targetWedgePop, np.sum(targetWedgePop),\"no longer add up to\",aDP)\n",
    "    \n",
    "    if np.sum(willFill) == nWedges:  #all wedges will fill.  Will any leave a small near-boundary remnant?  If so, pick up smallest remnant\n",
    "        remnantWedgePopFrac = [ ( maxWedgePop[w] - targetWedgePop[w] )/targetWedgePop[w] for w in range(nWedges) ]\n",
    "        if np.min(remnantWedgePopFrac) < maxUncap :  #lessen tWP's of *adjacent* wedges, then increase this wedge's target --> max\n",
    "            minW = remnantWedgePopFrac.index(np.min(remnantWedgePopFrac))\n",
    "            oppW = int((minW+nWedges/2)%nWedges)\n",
    "            #print(\"filling to boundary for tract,wedge, tWP, mWP =\",t,minW, r3(targetWedgePop[minW]), maxWedgePop[minW])\n",
    "            for nW in range(nWedges):\n",
    "                if nW != minW and nW != oppW:\n",
    "                    targetWedgePop[nW] -= (remnantWedgePopFrac[minW] * targetWedgePop[minW] ) / (nWedges - 2.)\n",
    "            targetWedgePop[minW] = maxWedgePop[minW]\n",
    "            #       OK, READY TO SOLVE FOR NON-FILLED WEDGE SIZES once we adjust targets for unfilled wedges\n",
    "    #print(t,\" prior to rebalanceTWP call, mWPs, tWPs are\",maxWedgePop, targetWedgePop)\n",
    "    targetWedgePop, willFill = rebalanceTWPs(maxWedgePop, targetWedgePop, barredList)\n",
    "    #if np.max(targetWedgePop) - np.min(targetWedgePop) > 0.02 * aDP: #debug\n",
    "    #    print(\"for tract\",t,\",  After rebalancing but before tweaks for blocky pop adds: willFill, targetWedgePops and maxWedgePops are ...\")\n",
    "    #    for w in range(nWedges):\n",
    "    #        print(w, willFill[w],r3(targetWedgePop[w]),int(maxWedgePop[w]) )\n",
    "    for w in range(nWedges):  #WHEW!  WE CAN FINALLY ASSIGN ALL WEDGES' POPS AND TRACTLISTS\n",
    "        loop = 0\n",
    "        if willFill[w] == 0:  #wedge is maxed out\n",
    "            wedgePop[w] = maxWedgePop[w]\n",
    "            #wedgeList[w] = ...  #we already captured this list = maxWedge list\n",
    "            HDradius[t][w] = maxD/math.cos(0.5*wedgeAngle[w])\n",
    "        else:  #need to solve for wedge radius to meet targetPop.  Use bisection as scipy minimize no faster\n",
    "            HDcpWP = hdCPpop[t] * wedgeAngle[w]/(2.*pi)\n",
    "            nonHDcpTWP = targetWedgePop[w] - HDcpWP\n",
    "            #wedgePop[w], wedgeList[w], HDradius[t][w] = solveWedgeB(nontractTWP,t,hC,maxWedgePoly[w],tolerPop,tractCP, tractPop,\n",
    "            #                                                        countyNo,countyTractList,countyGeom, neighborCountyList,uuDist[t])\n",
    "            wedgePop[w], wedgeList[w], HDradius[t][w] = solveWedgeC(nonHDcpTWP,t,hC, maxWedgePoly[w],startAngle[w], endAngle[w], tolerPop,\n",
    "                                                                    hdCP, hdCPpop,HDcountyNo, countyHDlist,countyGeom,\n",
    "                                                                    neighborCountyList,uuDist[t],uuAngle[t])\n",
    "            popGap = nonHDcpTWP - wedgePop[w]  #gap between target and solved wedge pop; can be negative\n",
    "            notYetAdjusted, nextW = True, w+1  #looking to adjust a later wedge's target pop to minimize drift in total HD pop\n",
    "            while notYetAdjusted and nextW < nWedges:\n",
    "                if willFill[nextW] == 1 and maxWedgePop[nextW] > targetWedgePop[nextW] + popGap :  #can accommodate\n",
    "                    targetWedgePop[nextW] += popGap\n",
    "                    notYetAdjusted = False\n",
    "                nextW +=1          \n",
    "\n",
    "        HDangle[t][w] = startAngle[w]\n",
    "    #print(t,\"tract. After TWP adjustment, targetWedgePops are\",targetWedgePop)\n",
    "    HDtractList[t] = [t]\n",
    "    totPop = hdCPpop[t]\n",
    "    for nW in range(nWedges):\n",
    "        for tt in wedgeList[nW]:\n",
    "            HDtractList[t].append(tt)  #building the list of tracts in the Home District  (we'll keep up with below changes)\n",
    "            totPop += hdCPpop[tt]\n",
    "    offsetPop = totPop - aDP  #we have solved for all wedge radii to get each within one tractPop of target ... \n",
    "    HDvPop[t] = totPop\n",
    "    #if offsetPop > 0:   #... now include a splitPoly to nail the avg District Pop\n",
    "    #    isOver = True  #we slightly overshot.  ID the farthest-away tract for split-jettison\n",
    "    #    splitTractNo[t], splitTractUse[t] = getPartialTract(t, HDtractList[t], offsetPop, uuDist[t], hdCPpop, neighborList)\n",
    "    #    HDvPop[t] = totPop - (1. - splitTractUse[t]) * tractPop[splitTractNo[t]]\n",
    "    #if offsetPop < 0:\n",
    "    #    isOver = False  #we have undershot.  Pick up the nearest contiguous tract that can be split to fill the gap\n",
    "    #    splitTractNo[t], splitTractUse[t] = getPartialTract(t, HDtractList[t], offsetPop, uuDist[t], tractPop, neighborList)\n",
    "    #    HDtractList[t].append(splitTractNo[t])\n",
    "    #    HDvPop[t] = totPop + splitTractUse[t]*tractPop[splitTractNo[t]]       \n",
    "    #if abs(1. - HDvPop[t]/aDP) > 0.005 :  #something went wrong with pop assignation for this HD\n",
    "    #    print(\"WARNING! Total Home District pop was\",HDvPop[t],\"vs target\",aDP,\"for tract\",t)   ##### hdCP topology not yet known; skip partial\n",
    "        \n",
    "    HDPoly1[t] = dummyPoly  #tractGeom[t] #skip constructing the HD poly shape.  Do compute area of the Home District, including final partial\n",
    "    HDarea[t] = 0.\n",
    "    for tt in HDtractList[t]:\n",
    "        if tt == splitTractNo[t]:\n",
    "            tractUse[tt] += nDistricts * HDweight[t] * splitTractUse[t] \n",
    "            #HDarea[t]   += tractArea[tt] * splitTractUse[t]  #these are original (nonsquished) areas\n",
    "            \n",
    "        else:\n",
    "            tractUse[tt] += nDistricts * HDweight[t]\n",
    "            #HDarea[t]    += tractArea[tt]\n",
    "            #HDPoly1[t] = HDPoly1[t].union(tractGeom[tt])\n",
    "    HDPoly1[t] = buildPoly(hdCP[t],HDradius[t], HDangle[t] )\n",
    "    #HDarea[t] = HDPoly1[t].area + splitTractUse[t] * tractArea[splitTractNo[t]]  \n",
    "    #if splitTractUse[t] > 0.5:\n",
    "    #    HDPoly1[t] = HDPoly1[t].union(tractGeom[splitTractNo[t]])\n",
    "                          \n",
    "    #ALL DONE ESTABLISHING THE FINAL HDTRACTLIST.  FINALIZE STATS\n",
    "totalTime = time.time() - codeStartTime\n",
    "print(r3(totalTime),\"seconds elapsed. All done computing HD shapes and tractlists.  Here is a histogram of unit usage.\")\n",
    "n_bins=50\n",
    "popTractUse, plotWts = [tractUse[t] for t in populatedTractList], [HDweight[t] for t in populatedTractList]\n",
    "\n",
    "origHDuseAvg, origHDuseSD = getWeightedAvgAndSD(tractUse,HDweight)\n",
    "print(\"unit avg and sd usage are\",r5(origHDuseAvg), r5(origHDuseSD) )\n",
    "\n",
    "fig, ax = plt.subplots(tight_layout=True)\n",
    "ax.hist(popTractUse, bins=n_bins, weights=plotWts)\n",
    "plt.show()\n",
    "HDvPop = [np.sum([hdCPpop[tt] for tt in HDtractList[t]]) for t in range(nHDs)]\n",
    "plt.scatter([hdCPpop[t] for t in populatedTractList],[HDvPop[t] for t in populatedTractList] )\n",
    "print(\"here are your HD pops\")\n",
    "plt.show()\n",
    "origHDHDtractList = [HDtractList[t].copy() for t in range(nHDs)] #save for posterity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "aec0cf55-112b-4eba-93c6-9cf1d1b87aae",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now we will write the polygon-based results to a file\n"
     ]
    }
   ],
   "source": [
    "#last block of option 2 (i.e. generating polygonal HDs from scratch)\n",
    "print(\"Now we will write the polygon-based results to a file\")\n",
    "tractNo = [t for t in range(nHDs) ]\n",
    "HDangle0 = [HDangle[t][0] for t in range(nHDs) ]\n",
    "HDangle1 = [HDangle[t][1] for t in range(nHDs) ]\n",
    "HDangle2 = [HDangle[t][2] for t in range(nHDs) ]\n",
    "HDangle3 = [HDangle[t][3] for t in range(nHDs) ]\n",
    "HDradius0 = [HDradius[t][0] for t in range(nHDs)]\n",
    "HDradius1 = [HDradius[t][1] for t in range(nHDs)]\n",
    "HDradius2 = [HDradius[t][2] for t in range(nHDs)]\n",
    "HDradius3 = [HDradius[t][3] for t in range(nHDs)]\n",
    "hdCPx, hdCPy =   [hdCP[t].x for t in range(nHDs)], [hdCP[t].y for t in range(nHDs)]\n",
    "\n",
    "\n",
    "paramList = [\"STATE\",\"statePop\",\"nDistricts\",\"nHDs\",\"nWedges\",\"popn-toler\",\"levelL\", \"maxAngleRatio\",\n",
    "             \"maxAngle\",\"minAdjRatio\",\"maxUncap\", \"oppWt\", \"calc sec\",\"xScale\",\"outputs...\"]\n",
    "paramValues = [STATE,statePop, nDistricts, nHDs, nWedges, tolerPop, levelL, maxAngleRatio, maxAngle, minAdjRatio, maxUncap,\n",
    "               oppWt, totalTime, xScale, -777]\n",
    "for i in range(nHDs-len(paramList)):\n",
    "    paramList.append(\".\")\n",
    "    paramValues.append(-99)  #so all columns have same number of entries, even the parameter list\n",
    "HDdf = pd.DataFrame( {\"paramList\": paramList,\"paramValues\":paramValues,\"countyNo\":HDcountyNo,\n",
    "                    \"tractNo\":tractNo,\"centroid x\":hdCPx,\"centroid y\":hdCPy,\"tractPop\":hdCPpop,\n",
    "                    \"HDweight\":HDweight,\"HD-pop\":HDvPop,\"HDarea\":HDarea,\n",
    "                    \"startAngle\":angle0,\"HDangle0\":HDangle0,\"HDangle1\":HDangle1,\"HDangle2\":HDangle2,\"HDangle3\":HDangle3,\n",
    "                    \"HDradius0\":HDradius0,\"HDradius1\":HDradius1,\"HDradius2\":HDradius2, \"HDradius3\":HDradius3,\"tractUse\":tractUse,\n",
    "                    \"splitTractNo\":splitTractNo,\"splitTractUse\":splitTractUse,\"HDtractList\":HDtractList} ) \n",
    "\n",
    "#outname = STATE+str(int(nTracts))+\"HD2Bnopatch\"+str(int(nDistricts))+\"nW4.csv\"  #solveWedgeB\n",
    "outname = STATE+str(int(nHDs))+\"convexHD2_\"+str(int(nDistricts))+\"nW4_14Mar.csv\"  #solveWedgeC\n",
    "#outname = STATE+str(int(nTracts))+\"HD2Buutpatch\"+str(int(nDistricts))+\"nW4.csv\"\n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "HDdf.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "b7a38aff-e4c4-498a-9f63-b6d5d02ab158",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1.0\n"
     ]
    }
   ],
   "source": [
    "print(np.average(HDweight) * nHDs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 184,
   "id": "868ec654-07ad-4925-bea5-105e8fe9bc59",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "HDtractList = [list(set(oldHDtractList[t] ) ) for t in range(nHDs)] #restart"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 362,
   "id": "253554da-8842-470e-b9b3-5626823059b0",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Let's ensure normalization of each cluster's usage based on how much of its area must be captured to consider a cluster captured\n",
      "working on cluster no 0 containing counties [43]\n",
      "halfway there! last use was 0.62785\n",
      "our final fractional capture area to normalize this cluster's usage is 0.26146\n",
      "working on cluster no 1 containing counties [44]\n",
      "halfway there! last use was 0.79483\n",
      "our final fractional capture area to normalize this cluster's usage is 0.22671\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#skip this block, use one below if I already CREATED HDVTDLIST'S FROM POLYGONS and there are non-vtd units but all tracts are vtds\n",
    "print(\"Let's ensure normalization of each cluster's usage based on how much of its area must be captured to consider a cluster captured\")\n",
    "#origHDlist = [list() for t in range(nHDs)],\n",
    "splitTractNo, splitTractUse = [-999]*nHDs, [0.]*nHDs\n",
    "origHDpop = [0. for t in range(nHDs)]  #these will be based on captured Census vtd's\n",
    "HDpoly, HDdiam = [dummyPoly for t in range(nHDs)], [0. for t in range(nHDs)]\n",
    "\n",
    "popHDlist = list()  #rebuild here again with the geometries\n",
    "for t in range(nHDs):\n",
    "    if HDweight[t] > 0.000001 :  #HD poly was actually drawn  #[(HDradius[t][w]+0.001*maxD) for w in range(4)]\n",
    "        HDpoly[t] = buildPoly(hdCP[t], HDradius[t], HDangle[t])  #expand to catch the units on HD edge\n",
    "        HDdiam[t] = HDpoly[t].area **0.5  #approximate, for later scoring purposes of underuse * distance\n",
    "        popHDlist.append(t)\n",
    "\n",
    "\n",
    "CCBuse, CCBareaFrac, CCBarea = [0. for CCB in CCBlist], [0.5 for CCB in CCBlist], [geo.area for geo in CCBgeom]\n",
    "for j,geo in enumerate(CCBgeom):\n",
    "    print(\"working on cluster no\",j,\"containing counties\",CCBlist[j] )\n",
    "    unitNo = allUnits.index(j+0.25)\n",
    "    HDfrac = [ 0. for t in range(nHDs) ]\n",
    "    for t in range(nHDs):\n",
    "        if HDcountyNo[t] in CCBlist[j]:\n",
    "            HDfrac[t] = 1.\n",
    "        else:\n",
    "            HDfrac[t] = HDpoly[t].intersection(geo).area / CCBarea[j]\n",
    "    idx = np.argsort(HDfrac)\n",
    "    i = nHDs\n",
    "    while CCBuse[j] < 1.000 - 0.5 * nDistricts*np.average(HDweight) and i > 0:\n",
    "        i -=1\n",
    "        t = idx[i]\n",
    "        CCBuse[j] += HDweight[t] * nDistricts\n",
    "        if CCBuse[j] > 0.5 and CCBuse[j] - HDweight[t] * nDistricts < 0.5:\n",
    "            print(\"halfway there! last use was\",r5(HDfrac[t]))\n",
    "            plotPoly(HDpoly[t],0.2)\n",
    "        #origHDlist[t].append(unitNo)  #postpone this until main loop\n",
    "        #origHDpop[t] += CCBpop[j]     #postpone until main\n",
    "    if i <= 1:\n",
    "        print(\"WARNING, only\",r5(CCBuse[j]),\" of a district's worth of ensemble intersected the cluster geometry\")\n",
    "        # Add more stuff here to inflate the poly and try again ...\n",
    "    else:\n",
    "        CCBareaFrac[j] = HDfrac[t]\n",
    "        print(\"our final fractional capture area to normalize this cluster's usage is\",r5(CCBareaFrac[j]) )\n",
    "        plotPoly(MAP,0.2)\n",
    "        plotPoly(geo,0.8)\n",
    "        plotCenter(j,geo)\n",
    "        plotPoly(HDpoly[t],1.3)\n",
    "        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "63418340-35f5-4a32-a0aa-6b04478b3f57",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "we will now update vtd lists to either fully take or shed CCBs\n",
      "working on cluster no 1 containing counties [22, 145, 40, 26]\n",
      "halfway there! last use was 0.9714\n",
      "our final fractional capture pop to normalize this cluster's usage is 0.17306 from 202 intersecting HDs\n",
      "Now I will update vtd lists to move full CCB 0 in or out\n",
      "working on cluster no 2 containing counties [118, 67, 138, 126]\n",
      "halfway there! last use was 0.98332\n",
      "our final fractional capture pop to normalize this cluster's usage is 0.3148 from 203 intersecting HDs\n",
      "Now I will update vtd lists to move full CCB 1 in or out\n",
      "working on cluster no 3 containing counties [24]\n",
      "halfway there! last use was 0.95399\n",
      "our final fractional capture pop to normalize this cluster's usage is 0.30829 from 238 intersecting HDs\n",
      "Now I will update vtd lists to move full CCB 2 in or out\n"
     ]
    }
   ],
   "source": [
    "#new for FL - alt to above, using pop-capture threshold on vtd Lists, not area threshold on HDpoly's for including CCBs\n",
    "oldHDtractList = [HDtractList[t].copy() for t in range(nHDs)] #safekeeping\n",
    "print(\"we will now update vtd lists to either fully take or shed CCBs\")\n",
    "CCBuse, CCBpopFracThreshold = [0. for CCB in CCBlist], [0.0001 for CCB in CCBlist]\n",
    "for j,CCBl in enumerate(CCBlist):\n",
    "    CCBtL = list()  #list of tracts in the CCB\n",
    "    for c in CCBl:\n",
    "        CCBtL += countyTractList[c]\n",
    "    addList, nIntersections = list(), 0\n",
    "    print(\"working on cluster no\",j+1,\"containing counties\",CCBl )\n",
    "    unitNo = allUnits.index(j+0.25)\n",
    "    HDfrac = [ 0. for t in range(nHDs) ]\n",
    "    for t in popHDlist:\n",
    "        if HDcountyNo[t] in CCBl:\n",
    "            HDfrac[t] = 1.\n",
    "        else:\n",
    "            cPop = 0\n",
    "            for v in CCBtL:\n",
    "                if v in oldHDtractList[t]:\n",
    "                    cPop += tractPop[v]\n",
    "            HDfrac[t] = cPop / CCBpop[j]\n",
    "    idx = np.argsort(HDfrac)\n",
    "    i = nHDs\n",
    "    while CCBuse[j] < 1.000 - 0.5 * nDistricts*np.average(HDweight) and i > 0:  #0.5 ... is to land near avg AFTER last added\n",
    "        i -=1\n",
    "        nIntersections +=1\n",
    "        t = idx[i]\n",
    "        addList.append(t)\n",
    "        CCBuse[j] += HDweight[t] * nDistricts\n",
    "        if CCBuse[j] > 0.5 and CCBuse[j] - HDweight[t] * nDistricts < 0.5:\n",
    "            print(\"halfway there! last use was\",r5(HDfrac[t]))\n",
    "    if i <= 1:\n",
    "        print(\"WARNING, only\",r5(CCBuse[j]),\" of a district's worth of ensemble intersected the cluster geometry\")\n",
    "        # Add more stuff here to inflate the poly and try again ...\n",
    "    else:\n",
    "        CCBpopFracThreshold[j] = HDfrac[t]\n",
    "        print(\"our final fractional capture pop to normalize this cluster's usage is\",r5(CCBpopFracThreshold[j]),\n",
    "              \"from\",nIntersections,\"intersecting HDs\" )\n",
    "    print(\"Now I will update vtd lists to move full CCB\",j,\"in or out\")\n",
    "    for t in popHDlist:\n",
    "        if HDfrac[t] > 0:\n",
    "            HDtractList[t] = list(set(HDtractList[t]).difference(CCBtL))\n",
    "            if t in addList:\n",
    "                HDtractList[t] += CCBtL"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "beb8908f-1855-4224-9cbe-6f484a193f5a",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "HDunitList = [origHDlist[t].copy() for t in range(nHDs) ]  #for safekeeping - is this from option 1??\n",
    "HDvPop = origHDpop.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "61c1f835-ecad-444a-9f0e-0ab5c0e394e2",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "4328e35e-089d-4f81-9987-a2cf0785a4ff",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Not sure why ./2024state_HD_output/FL7211convexHD2_26nW4.csv isn't giving good polygon-based pops\n",
      "Lets just pull in the HDtractLists from that HD2 code and use them\n",
      "Must have already established unitGeoms, pops, topology\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter the unpatched vtdlist, e.g. ./2024state_HD_output/GA2698convexHD2_14nW4_10Mar.csv ./2024state_HD_output/GA2698convexHD2_14nW4_10Mar.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "I read in 2698 HD lists of vtds\n",
      "working on converting HD 0 from vtd list to unit list\n",
      "working on converting HD 500 from vtd list to unit list\n",
      "working on converting HD 1000 from vtd list to unit list\n",
      "working on converting HD 1500 from vtd list to unit list\n",
      "working on converting HD 2000 from vtd list to unit list\n",
      "working on converting HD 2500 from vtd list to unit list\n",
      "orig unit avg and sd usage are 0.94095 0.25629\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now re-calculate HD pops based on unit assignments\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "prior to correcting for discontiguity and squaring up cluster-unit usage...\n",
      "CCB cluster 0 with pop 176742.0 originally had use of 0.6927301840156793\n",
      "CCB cluster 1 with pop 102191.0 originally had use of 0.9326155527100091\n",
      "CCB cluster 2 with pop 295291.0 originally had use of 0.7581629715265193\n"
     ]
    }
   ],
   "source": [
    "#ALTERNATE RESTART FROM A DECENT HDtractList - this may not be robust for states with county clusters\n",
    "print(\"Not sure why ./2024state_HD_output/FL7211convexHD2_26nW4.csv isn't giving good polygon-based pops\")\n",
    "print(\"Lets just pull in the HDtractLists from that HD2 code and use them\")\n",
    "\n",
    "print(\"Must have already established unitGeoms, pops, topology\")\n",
    "infile = input(\"enter the unpatched vtdlist, e.g. ./2024state_HD_output/GA2698convexHD2_14nW4_10Mar.csv\")\n",
    "inDF = pd.read_csv(infile)\n",
    "vtdListString = inDF[\"HDtractList\"] #HDvtdList\n",
    "nHDs = len(vtdListString)\n",
    "inVTDlist = [ast.literal_eval(vtdListString[t]) for t in range(nHDs)]\n",
    "HDweight = inDF[\"HDweight\"]\n",
    "# HDvPop = inDF[\"HDvPop\"].to_list()  #don't care; will rebuild from units\n",
    "hdCPx, hdCPy = inDF[\"centroid x\"], inDF[\"centroid y\"]\n",
    "hdCP = [Point(hdCPx[t], hdCPy[t]) for t in range(nHDs)]\n",
    "print(\"I read in\",nHDs,\"HD lists of vtds\")\n",
    "HDunitList = [list() for t in range(nHDs)]\n",
    "for t in range(nHDs):\n",
    "    if t%500 == 0:\n",
    "        print(\"working on converting HD\",t,\"from vtd list to unit list\")\n",
    "    for v in inVTDlist[t]:  #this will skip over surrounded units, whose pops we have added to their surrounders\n",
    "        if v in allUnits:\n",
    "            HDunitList[t].append(allUnits.index(v))\n",
    "    for c in unitCounties:\n",
    "        if countyTractList[c][0] in inVTDlist[t]:\n",
    "            u = allUnits.index(c+0.5)\n",
    "            HDunitList[t].append(u)\n",
    "    for j, L in enumerate(CCBlist):\n",
    "        c = L[0]\n",
    "        if countyTractList[c][0] in inVTDlist[t]:\n",
    "            u = allUnits.index(j+0.25)\n",
    "            HDunitList[t].append(u) \n",
    "            \n",
    "unitUse = [0. for u in range(nUnits)]\n",
    "for t in range(nHDs):\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += HDweight[t] * nDistricts\n",
    "plt.hist(unitUse, bins=50, weights=unitPop,label=\"read-in\",histtype=\"step\")\n",
    "plt.legend()\n",
    "unpatchedAvg, unpatchedSD = getWeightedAvgAndSD(unitUse,unitPop)\n",
    "print(\"orig unit avg and sd usage are\",r5(unpatchedAvg), r5(unpatchedSD) )\n",
    "plt.show()\n",
    "currAvg, currSD = unpatchedAvg, unpatchedSD\n",
    "\n",
    "print(\"Now re-calculate HD pops based on unit assignments\")\n",
    "HDvPop = [0. for t in range(nHDs)]\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        HDvPop[t] += unitPop[u]\n",
    "plt.hist([HDvPop[t] for t in popHDlist], bins=50)\n",
    "plt.show()        \n",
    "\n",
    "print(\"prior to correcting for discontiguity and squaring up cluster-unit usage...\")\n",
    "for u, unitNo in enumerate(allUnits):\n",
    "    if unitNo % 1 == 0.25:\n",
    "        print(\"CCB cluster\",int(unitNo),\"with pop\",unitPop[u],\"originally had use of\",unitUse[u])\n",
    "\n",
    "origHDlist   = [HDunitList[t].copy() for t in range(nHDs) ]  #for safekeeping\n",
    "origHDpop =     HDvPop.copy()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "22916ca4-1217-4231-9f11-88110a1a7cda",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "prior to correcting for discontiguity and squaring up cluster-unit usage...\n",
      "CCB cluster 0 with pop 176742.0 originally had use of 0.9750772691474474\n",
      "CCB cluster 1 with pop 102191.0 originally had use of 0.97122828164681\n",
      "CCB cluster 2 with pop 295291.0 originally had use of 0.9804057316398108\n"
     ]
    }
   ],
   "source": [
    "print(\"prior to correcting for discontiguity and squaring up cluster-unit usage...\")\n",
    "unitUse = [0. for u in range(nUnits)]\n",
    "for t in range(nHDs):\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += HDweight[t] * nDistricts\n",
    "for u, unitNo in enumerate(allUnits):\n",
    "    if unitNo % 1 == 0.25:\n",
    "        print(\"CCB cluster\",int(unitNo),\"with pop\",unitPop[u],\"originally had use of\",unitUse[u])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "89cede45-92d7-4bc4-91e9-70b59c61a66b",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "we will now update vtd lists to either fully take or shed CCBs\n",
      "working on cluster no -1 containing counties [43]\n",
      "halfway there! last use was 0.86639\n",
      "our final fractional capture pop to normalize this cluster's usage is 0.16293 from 255 intersecting HDs\n",
      "Now I will update vtd lists to move full CCB 0 in or out\n",
      "working on cluster no 0 containing counties [44]\n",
      "halfway there! last use was 0.90534\n",
      "our final fractional capture pop to normalize this cluster's usage is 0.31677 from 262 intersecting HDs\n",
      "Now I will update vtd lists to move full CCB 1 in or out\n"
     ]
    }
   ],
   "source": [
    "#skip for FL; already squared up\n",
    "oldHDtractList = [inVTDlist[t].copy() for t in range(nHDs)] #safekeeping\n",
    "HDtractList = [inVTDlist[t].copy() for t in range(nHDs)] #nomenclature\n",
    "print(\"we will now update vtd lists to either fully take or shed CCBs\")\n",
    "CCBuse, CCBpopFracThreshold = [0. for CCB in CCBlist], [0.0001 for CCB in CCBlist]\n",
    "for j,CCBl in enumerate(CCBlist):\n",
    "    CCBtL = list()  #list of tracts in the CCB\n",
    "    for c in CCBl:\n",
    "        CCBtL += countyTractList[c]\n",
    "    addList, nIntersections = list(), 0\n",
    "    print(\"working on cluster no\",j-1,\"containing counties\",CCBl )\n",
    "    unitNo = allUnits.index(j+0.25)\n",
    "    HDfrac = [ 0. for t in range(nHDs) ]\n",
    "    for t in popHDlist:\n",
    "        if HDcountyNo[t] in CCBl:\n",
    "            HDfrac[t] = 1.\n",
    "        else:\n",
    "            cPop = 0\n",
    "            for v in CCBtL:\n",
    "                if v in HDtractList[t]:  #HDtractList\n",
    "                    cPop += tractPop[v]\n",
    "            HDfrac[t] = cPop / CCBpop[j]\n",
    "    idx = np.argsort(HDfrac)\n",
    "    i = nHDs\n",
    "    while CCBuse[j] < 1.000 - 0.5 * nDistricts*np.average(HDweight) and i > 0:  #0.5 ... is to land near avg AFTER last added\n",
    "        i -=1\n",
    "        nIntersections +=1\n",
    "        t = idx[i]\n",
    "        addList.append(t)\n",
    "        CCBuse[j] += HDweight[t] * nDistricts\n",
    "        if CCBuse[j] > 0.5 and CCBuse[j] - HDweight[t] * nDistricts < 0.5:\n",
    "            print(\"halfway there! last use was\",r5(HDfrac[t]))\n",
    "    if i <= 1:\n",
    "        print(\"WARNING, only\",r5(CCBuse[j]),\" of a district's worth of ensemble intersected the cluster geometry\")\n",
    "        # Add more stuff here to inflate the poly and try again ...\n",
    "    else:\n",
    "        CCBpopFracThreshold[j] = HDfrac[t]\n",
    "        print(\"our final fractional capture pop to normalize this cluster's usage is\",r5(CCBpopFracThreshold[j]),\n",
    "              \"from\",nIntersections,\"intersecting HDs\" )\n",
    "    print(\"Now I will update vtd lists to move full CCB\",j,\"in or out\")\n",
    "    for t in popHDlist:\n",
    "        if HDfrac[t] > 0:\n",
    "            HDtractList[t] = list(set(HDtractList[t]).difference(CCBtL))\n",
    "            if t in addList:\n",
    "                HDtractList[t] += CCBtL"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "6a85cac6-b8e8-41ea-a9f1-fcf68322c2dd",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "OK, redo the unitlists and use after the CCB assignment changes\n",
      "working on converting HD 0 from vtd list to unit list\n",
      "working on converting HD 1000 from vtd list to unit list\n",
      "working on converting HD 2000 from vtd list to unit list\n",
      "working on converting HD 3000 from vtd list to unit list\n",
      "working on converting HD 4000 from vtd list to unit list\n",
      "working on converting HD 5000 from vtd list to unit list\n",
      "working on converting HD 6000 from vtd list to unit list\n",
      "working on converting HD 7000 from vtd list to unit list\n",
      "orig unit avg and sd usage are 1.00152 0.16838\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now re-calculate HD pops based on unit assignments\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#skip for FL; already squared up\n",
    "print(\"OK, redo the unitlists and use after the CCB assignment changes\")\n",
    "HDunitList = [list() for t in range(nHDs)]\n",
    "for t in range(nHDs):\n",
    "    if t%1000 == 0:\n",
    "        print(\"working on converting HD\",t,\"from vtd list to unit list\")\n",
    "    for v in HDtractList[t]:  #this will skip over surrounded units, whose pops we have added to their surrounders\n",
    "        if v in allUnits:\n",
    "            HDunitList[t].append(allUnits.index(v))\n",
    "    for c in unitCounties:\n",
    "        if countyTractList[c][0] in HDtractList[t]:\n",
    "            u = allUnits.index(c+0.5)\n",
    "            HDunitList[t].append(u)\n",
    "    for j, L in enumerate(CCBlist):\n",
    "        c = L[0]\n",
    "        if countyTractList[c][0] in HDtractList[t]:\n",
    "            u = allUnits.index(j+0.25)\n",
    "            HDunitList[t].append(u) \n",
    "            unitUse = [0. for u in range(nUnits)]\n",
    "            \n",
    "for t in range(nHDs):\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += HDweight[t] * nDistricts\n",
    "plt.hist(unitUse, bins=50, weights=unitPop,label=\"read-in\",histtype=\"step\")\n",
    "plt.legend()\n",
    "unpatchedAvg, unpatchedSD = getWeightedAvgAndSD(unitUse,unitPop)\n",
    "print(\"orig unit avg and sd usage are\",r5(unpatchedAvg), r5(unpatchedSD) )\n",
    "plt.show()\n",
    "currAvg, currSD = unpatchedAvg, unpatchedSD\n",
    "\n",
    "print(\"Now re-calculate HD pops based on unit assignments\")\n",
    "HDvPop = [0. for t in range(nHDs)]\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        HDvPop[t] += unitPop[u]\n",
    "plt.hist([HDvPop[t] for t in popHDlist], bins=50)\n",
    "plt.show()   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5b99795f-d030-456d-9201-6519b739b472",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "dc26d08c-a5d9-4e7e-9da5-ae98cf658a3a",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "If we just ran option 2 with no tracts bigger than vtds, run this but with initial ten rows commented out\n",
      "this optional RESTART block pulls in an existing vtdlist for patching\n",
      "Must have already established unitGeoms, pops, topology\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter the unpatched vtdlist, e.g. ./2024state_HD_output/CO3108contigUnpatchedB.csv ./2024state_HD_output/FL7211needsEnclaveRemoval.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "I read in 7211 HD lists of vtds\n",
      "working on converting HD 0 from vtd list to unit list\n",
      "working on converting HD 500 from vtd list to unit list\n",
      "working on converting HD 1000 from vtd list to unit list\n",
      "working on converting HD 1500 from vtd list to unit list\n",
      "working on converting HD 2000 from vtd list to unit list\n",
      "working on converting HD 2500 from vtd list to unit list\n",
      "working on converting HD 3000 from vtd list to unit list\n",
      "working on converting HD 3500 from vtd list to unit list\n",
      "working on converting HD 4000 from vtd list to unit list\n",
      "working on converting HD 4500 from vtd list to unit list\n",
      "working on converting HD 5000 from vtd list to unit list\n",
      "working on converting HD 5500 from vtd list to unit list\n",
      "working on converting HD 6000 from vtd list to unit list\n",
      "working on converting HD 6500 from vtd list to unit list\n",
      "working on converting HD 7000 from vtd list to unit list\n",
      "orig unit avg and sd usage are 1.00435 0.16718\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"If we just ran option 2 with no tracts bigger than vtds, run this but with initial ten rows commented out\")\n",
    "print(\"this optional RESTART block pulls in an existing vtdlist for patching\")\n",
    "print(\"Must have already established unitGeoms, pops, topology\")\n",
    "\n",
    "#infile = input(\"enter the unpatched vtdlist, e.g. ./2024state_HD_output/CO3108contigUnpatchedB.csv\")\n",
    "#inDF = pd.read_csv(infile)\n",
    "#vtdListString = inDF[\"HDvtdList\"]\n",
    "#nHDs = len(vtdListString)\n",
    "#inVTDlist = [ast.literal_eval(vtdListString[t]) for t in range(nHDs)]\n",
    "#HDweight = inDF[\"HDweight\"]\n",
    "#HDvPop = inDF[\"HDvPop\"].to_list()\n",
    "#hdCPx, hdCPy = inDF[\"centroid x\"], inDF[\"centroid y\"]\n",
    "#hdCP = [Point(hdCPx[t], hdCPy[t]) for t in range(nHDs)]\n",
    "#print(\"I read in\",nHDs,\"HD lists of vtds\")\n",
    "\n",
    "HDunitList = [list() for t in range(nHDs)]\n",
    "for t in range(nHDs):\n",
    "    if t%500 == 0:\n",
    "        print(\"working on converting HD\",t,\"from vtd list to unit list\")\n",
    "    for v in inVTDlist[t]:  #this will skip over surrounded units, whose pops we have added to their surrounders\n",
    "        if v in allUnits:\n",
    "            HDunitList[t].append(allUnits.index(v))\n",
    "    for c in unitCounties:\n",
    "        if countyTractList[c][0] in inVTDlist[t]:\n",
    "            u = allUnits.index(c+0.5)\n",
    "            HDunitList[t].append(u)\n",
    "    for j, L in enumerate(CCBlist):\n",
    "        c = L[0]\n",
    "        if countyTractList[c][0] in inVTDlist[t]:\n",
    "            u = allUnits.index(j+0.25)\n",
    "            HDunitList[t].append(u) \n",
    "            \n",
    "unitUse = [0. for u in range(nUnits)]\n",
    "for t in range(nHDs):\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += HDweight[t] * nDistricts\n",
    "plt.hist(unitUse, bins=50, weights=unitPop,label=\"read-in\",histtype=\"step\")\n",
    "plt.legend()\n",
    "unpatchedAvg, unpatchedSD = getWeightedAvgAndSD(unitUse,unitPop)\n",
    "print(\"orig unit avg and sd usage are\",r5(unpatchedAvg), r5(unpatchedSD) )\n",
    "plt.show()\n",
    "currAvg, currSD = unpatchedAvg, unpatchedSD"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "ce9292b0-7d6a-419a-9491-d0def779ad04",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "there are a total of 2679 populated HDs\n"
     ]
    }
   ],
   "source": [
    "popHDlist = list()\n",
    "for t in range(nHDs):\n",
    "    if len(HDunitList[t]) > 0:\n",
    "        popHDlist.append(t)\n",
    "populatedTractList = popHDlist.copy()\n",
    "print(\"there are a total of\",len(populatedTractList),\"populated HDs\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "f7f36559-7f1d-4203-8b24-0e8cc2ce1753",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "this will show if we had any duplicated units in HDunitLists\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"this will show if we had any duplicated units in HDunitLists\")\n",
    "excess = [0 for t in range(nHDs)]\n",
    "for t in popHDlist:\n",
    "    excess[t] = len(HDunitList[t]) - len(set(HDunitList[t]))\n",
    "plt.hist(excess)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "27bc7f0a-d7ff-4c68-830f-29ba5013c314",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#popHDlist = populatedTractList.copy()  #somehow our popHDlist started to include the cut District HD starters\n",
    "HDunitList = [list(set(HDunitList[t])) for t in range(nHDs)]\n",
    "HDvPop = [np.sum([unitPop[u] for u in HDunitList[t]]) for t in range(nHDs)]\n",
    "plt.hist([HDvPop[t] for t in popHDlist])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "07c3370d-f050-4918-b0c2-ba0d6a947abe",
   "metadata": {},
   "outputs": [],
   "source": [
    "#rerun below"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "af8a4945-40c2-40df-8dd4-d516f4de2f0f",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "quick classification: who has contiguity problems?\n",
      "working on HD 0 time is now 0\n",
      "working on HD 705 time is now 78\n",
      "working on HD 1415 time is now 144\n",
      "working on HD 2126 time is now 214\n",
      "working on HD 2831 time is now 278\n",
      "working on HD 3541 time is now 351\n",
      "working on HD 4247 time is now 399\n",
      "working on HD 4952 time is now 481\n",
      "out of 5106 total HDs, there were 3977.0 contiguous and 3882.0 complement-contiguous HDs\n",
      "308 HDs had both discontiguity problems, while enclave-only = 916 and discontig only= 821\n",
      "here are the histograms of the small piece and enclave list lengths, total no = 1129 916\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "And here are the small-HD-piece and small-enclave pops\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "### THIS IS THE \"FIND DISCO\" CODE - continue here for option 1 or option 2 drawing method\n",
    "# 3/4/24 - for FL, using 6 or unspecified loops now yields same results\n",
    "print(\"quick classification: who has contiguity problems?\")\n",
    "nUnbroken, nNoEnclave, smallPieceLists, enclaveLists, sPgenerator, eLgenerator = 0., 0., list(), list(), list(), list()\n",
    "smallPieceLengths, enclaveLengths = list(), list()\n",
    "doubleTroubleList = list()\n",
    "startTime = time.time()\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%700 == 0:\n",
    "        print(\"working on HD\",t,\"time is now\",int(time.time() - startTime) )\n",
    "    unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(HDunitList[t], unitNbrs,6) #,6) #6 is high (slow) to try to avoid false enclaves\n",
    "    if unbroken:\n",
    "        nUnbroken +=1\n",
    "    if noEnclave:\n",
    "        nNoEnclave +=1\n",
    "    if not unbroken:\n",
    "        smallPieceLists.append(smallPieceList)\n",
    "        smallPieceLengths.append(len(smallPieceList))\n",
    "        sPgenerator.append(t)\n",
    "    if not noEnclave and unbroken:   #district is contiguous but contains 1+ enclave\n",
    "        enclaveLists.append(enclaveList)\n",
    "        enclaveLengths.append(len(enclaveList))\n",
    "        eLgenerator.append(t)\n",
    "    if not noEnclave and not unbroken:  #extremely discontig (\"broken\") HDs can appear to have enclaves;\n",
    "        doubleTroubleList.append(t)\n",
    "print(\"out of\",len(popHDlist),\"total HDs, there were\",nUnbroken,\"contiguous and\",nNoEnclave,\"complement-contiguous HDs\")\n",
    "print(len(doubleTroubleList),\"HDs had both discontiguity problems, while enclave-only =\",len(eLgenerator),\n",
    "      \"and discontig only=\",len(sPgenerator)-len(doubleTroubleList) )\n",
    "\n",
    "print(\"here are the histograms of the small piece and enclave list lengths, total no =\",\n",
    "      len(smallPieceLists),len(enclaveLists) )\n",
    "plt.hist([s for s in smallPieceLengths],label=\"small piece l units\",histtype='step',\n",
    "         cumulative=True,bins=[0,1,2,3,4,5,6,8,10,12,15,20,25,30,35,40,45,50,60,80,120,200])\n",
    "plt.hist([e for e in enclaveLengths],label=\"enclave l units\",histtype='step',\n",
    "         cumulative=True,bins=[0,1,2,3,4,5,6,8,10,12,15,20,25,30,35,40,45,50,60,80,120,200])\n",
    "plt.legend()\n",
    "plt.show()\n",
    "print(\"And here are the small-HD-piece and small-enclave pops\")\n",
    "plt.hist([sum(unitPop[u] for u in s) for s in smallPieceLists],label=\"small piece 1 pop\",histtype='step')\n",
    "plt.hist([sum(unitPop[u] for u in e) for e in enclaveLists],label=\"enclave 1 pop\",histtype='step')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "53ab9f20-ddb8-47b1-9e5d-5cfda17b2b25",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "570\n"
     ]
    }
   ],
   "source": [
    "print(t)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "40f06e44-45be-4a36-b62c-26698af70e06",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Before addressing enclaves, let's triage the discontinuous HDs\n",
      "Now work on dropping smallish disconnected pieces that would keep us above 716250 district pop vs 753947 target\n",
      "we'll also trim any HD with total islands' pop <= 15078\n",
      "working on HD 5\n",
      "working on HD 866\n",
      "working on HD 1912\n",
      "working on HD 2746\n",
      "working on HD 3647\n",
      "working on HD 4625\n",
      "Out of 1129 discontig HDs 1129 had discontig HDs.\n",
      "Of these, 1011 won't be under 716250 after all minor discontigys were shed, while 118 would be too underpopped if we trimmed the discontig pieces\n",
      "here is adjusted pop by original pop for those we trimmed and those we didn't (x)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now, reclassify after the trimming\n",
      "reclassifying HD 5\n",
      "reclassifying HD 2342\n",
      "reclassifying HD 4625\n",
      "There are 118 HDs still with both discontinuity problems\n",
      "Additionally, 266 of the originally discontig HDs are now contig but still have an enclave\n"
     ]
    }
   ],
   "source": [
    "print(\"Before addressing enclaves, let's triage the discontinuous HDs\")\n",
    "#this is the CANTRIM code####\n",
    "\n",
    "#for t in sPgenerator:\n",
    "#    isContig, smallP = isContiguous(filledHDvtdList[t],unitNbrs)\n",
    "#    if isContig:\n",
    "#        print(\"oops!\",t)\n",
    "maxNudgeDownPop = int(0.02 * aDP)\n",
    "minPostFixPop = int(0.95 * aDP)\n",
    "print(\"Now work on dropping smallish disconnected pieces that would keep us above\",minPostFixPop,\"district pop vs\",int(aDP),\"target\")\n",
    "print(\"we'll also trim any HD with total islands' pop <=\",maxNudgeDownPop)\n",
    "nOrigIslands = [0 for t in range(nHDs)]\n",
    "totalIslandPop = [0. for t in range(nHDs)]\n",
    "tryToTrim, canTrim, cantTrim = list(), list(), list()\n",
    "for jj, t in enumerate(sPgenerator):\n",
    "    if jj%200 == 0:\n",
    "        print(\"working on HD\",t)\n",
    "    currList, shedList, shedPop = HDunitList[t].copy(), list(),  0.\n",
    "    done,newList = isContiguous(currList,unitNbrs)\n",
    "    if not done:\n",
    "        tryToTrim.append(t)\n",
    "        while not done:\n",
    "            shedList += newList\n",
    "            shedPop += np.sum( [unitPop[u] for u in newList] )\n",
    "            currList = list (  set(currList).difference(set(newList ))  )\n",
    "            done, newList = isContiguous(currList, unitNbrs)\n",
    "            nOrigIslands[t] +=1\n",
    "            \n",
    "        totalIslandPop[t] = shedPop            \n",
    "        if shedPop <= maxNudgeDownPop or HDvPop[t] - shedPop >= minPostFixPop:\n",
    "            canTrim.append(t)\n",
    "            HDvPop[t] -= shedPop\n",
    "            HDunitList[t] = list (set(HDunitList[t]).difference(set(shedList)) )\n",
    "        else:\n",
    "            cantTrim.append(t)\n",
    "print(\"Out of\",len(sPgenerator),\"discontig HDs\",len(tryToTrim),\"had discontig HDs.\")\n",
    "print(\"Of these,\",len(canTrim),\"won't be under\",minPostFixPop,\"after all minor discontigys were shed, while\",\n",
    "      len(cantTrim),\"would be too underpopped if we trimmed the discontig pieces\")\n",
    "plt.scatter([HDvPop[t] + totalIslandPop[t] for t in canTrim],[HDvPop[t] for t in canTrim])\n",
    "plt.scatter([HDvPop[t]                     for t in cantTrim],[HDvPop[t] for t in cantTrim],marker=\"x\")\n",
    "print(\"here is adjusted pop by original pop for those we trimmed and those we didn't (x)\")\n",
    "plt.plot([0.9*aDP, 1.1*aDP],[aDP, aDP], ls=\"--\")\n",
    "plt.show()\n",
    "\n",
    "print(\"Now, reclassify after the trimming\")\n",
    "badDiscoList, stillHasEnclave = list(), list()\n",
    "for i, t in enumerate(sPgenerator):    \n",
    "    if i%500 == 0:\n",
    "        print(\"reclassifying HD\",t)\n",
    "    unbroken, noEnclave, __, ____ = enclaveCheck(HDunitList[t], unitNbrs)\n",
    "    if not unbroken:\n",
    "        badDiscoList.append(t)  #will do a major triage on these later\n",
    "    if unbroken and not noEnclave:\n",
    "        stillHasEnclave.append(t)\n",
    "print(\"There are\",len(badDiscoList),\"HDs still with both discontinuity problems\")\n",
    "print(\"Additionally,\",len(stillHasEnclave),\"of the originally discontig HDs are now contig but still have an enclave\")\n",
    "eLgenerator += stillHasEnclave"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "4037f8cb-661b-4032-bfb9-e147975e3bbb",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1/13/24 - classify further: ID those with adjoiners intersecting the map boundary vs internal islands\n",
      "working on enclave-generating HD 4\n",
      "working on enclave-generating HD 2540\n",
      "working on enclave-generating HD 1710\n",
      "Out of 1182 HDpolys that generated enclaves, 0 had contiguous adjrs, while 975 neighbored a state boundary while 207 had only internal enclaves\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 1 to print the total enclave pops for all enclavy HDs.  This takes a few min; not required 0\n"
     ]
    }
   ],
   "source": [
    "print(\"1/13/24 - classify further: ID those with adjoiners intersecting the map boundary vs internal islands\")\n",
    "internals, edgers, nOK = list(), list(), 0\n",
    "for i,t in enumerate(eLgenerator):\n",
    "    if i%500 == 0:\n",
    "        print(\"working on enclave-generating HD\",t)\n",
    "    twoNbrs = get2nbrs(HDunitList[t],unitNbrs)\n",
    "    isContig, adjSublist = isContiguous(twoNbrs,unitNbrs)\n",
    "    if isContig:\n",
    "        nOK +=1\n",
    "    else:\n",
    "        if len (set(getAdjoiners(HDunitList[t],unitNbrs)).intersection(set(borderUnits)))  > 0:\n",
    "            edgers.append(t)\n",
    "        else:\n",
    "            internals.append(t)\n",
    "print(\"Out of\",len(eLgenerator),\"HDpolys that generated enclaves,\",nOK,\"had contiguous adjrs, while\",len(edgers),\n",
    "      \"neighbored a state boundary while\",len(internals),\"had only internal enclaves\")\n",
    " \n",
    "plotEnclaves = input(\"enter 1 to print the total enclave pops for all enclavy HDs.  This takes a few min; not required\")\n",
    "if str(plotEnclaves) == str(1):\n",
    "    for i,t in enumerate(internals): \n",
    "        if i%500 == 0:\n",
    "            print(\"computing full enclave lists for HD\",t)\n",
    "        fullEnclaveLists = getEnclaveLists(HDunitList[t], unitNbrs)\n",
    "        tEpop = np.sum( [ [np.sum([unitPop[u] for u in eL])] for eL in fullEnclaveLists ] ) \n",
    "        plt.scatter(HDvPop[t],tEpop)\n",
    "    plt.plot([aDP,aDP],[0,5000],ls=\"--\")\n",
    "    print(\"Here are the total enclave pops for enclaving HDs not touching the state boundary vs. the original HD pop\")\n",
    "    plt.show()    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "05f929ce-4f94-47a6-baf4-60c5a89e2ae5",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now, let's fill in all enclaves that won't put us over 791644 district pop vs 753947 target\n",
      "working on enclave-y HD 293 . We have evaluated 0 of 1182 enclavy HDs.Time is now 0\n",
      "working on enclave-y HD 4654 . We have evaluated 100 of 1182 enclavy HDs.Time is now 20\n",
      "working on enclave-y HD 4876 . We have evaluated 200 of 1182 enclavy HDs.Time is now 42\n",
      "working on enclave-y HD 509 . We have evaluated 300 of 1182 enclavy HDs.Time is now 57\n",
      "working on enclave-y HD 997 . We have evaluated 400 of 1182 enclavy HDs.Time is now 69\n",
      "working on enclave-y HD 1582 . We have evaluated 500 of 1182 enclavy HDs.Time is now 81\n",
      "working on enclave-y HD 2198 . We have evaluated 600 of 1182 enclavy HDs.Time is now 98\n",
      "working on enclave-y HD 2731 . We have evaluated 700 of 1182 enclavy HDs.Time is now 119\n",
      "working on enclave-y HD 3234 . We have evaluated 800 of 1182 enclavy HDs.Time is now 131\n",
      "working on enclave-y HD 3934 . We have evaluated 900 of 1182 enclavy HDs.Time is now 147\n",
      "working on enclave-y HD 282 . We have evaluated 1000 of 1182 enclavy HDs.Time is now 168\n",
      "working on enclave-y HD 2685 . We have evaluated 1100 of 1182 enclavy HDs.Time is now 184\n",
      "Out of 1182 HDs with enclaves 1182 had enclaves.\n",
      "Of these, 822 wouldn't be over 791644 if all enclaves filled, while 360 were too populous\n",
      "here is enclave pop by final pop for those we filled\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "### THIS IS THE \"CANFILL\" CODE  #check if sum of enclave pops small enough to add\n",
    "maxNudgeUpPop = int(0.02 * aDP)\n",
    "maxPostFixPop = int(1.05 * aDP)\n",
    "print(\"Now, let's fill in all enclaves that won't put us over\",maxPostFixPop,\"district pop vs\",int(aDP),\"target\")\n",
    "nOrigEnclaves = [0 for t in range(nHDs)]\n",
    "totalEnclavePop = [0. for t in range(nHDs)]\n",
    "tryToFill, canFill, cantFill = list(), list(), list()\n",
    "startTime = time.time()  #takes about xx sec per HD triage\n",
    "        \n",
    "for iii, t in enumerate(internals + edgers):\n",
    "    if iii%100 == 0:\n",
    "        print(\"working on enclave-y HD\",t,\". We have evaluated\",iii,\"of\",len(internals+edgers),\"enclavy HDs.Time is now\",int(time.time() - startTime) )\n",
    "    unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(HDunitList[t], unitNbrs)\n",
    "    if unbroken and not noEnclave:  #\"and unbroken\" new 1/15 - discontig HDs will usually appear to have enclaves.  We'll fix these in later block\n",
    "        tryToFill.append(t)\n",
    "        enclaveLists = getEnclaveLists(HDunitList[t], unitNbrs)\n",
    "        nOrigEnclaves[t] = len(enclaveLists)\n",
    "        totalEnclavePop[t] = np.sum( [ [np.sum([unitPop[u] for u in eL])] for eL in enclaveLists ] ) \n",
    "        if HDvPop[t] + totalEnclavePop[t] <= maxPostFixPop or totalEnclavePop[t] < maxNudgeUpPop:\n",
    "            canFill.append(t)\n",
    "            for eL in enclaveLists:\n",
    "                HDunitList[t] += eL\n",
    "                HDvPop[t] += np.sum([unitPop[u] for u in eL])\n",
    "        else:\n",
    "            cantFill.append(t)\n",
    "print(\"Out of\",len(internals+edgers),\"HDs with enclaves\",len(tryToFill),\"had enclaves.\")\n",
    "print(\"Of these,\",len(canFill),\"wouldn't be over\",maxPostFixPop,\"if all enclaves filled, while\",len(cantFill),\"were too populous\")\n",
    "plt.scatter([HDvPop[t] for t in canFill],[totalEnclavePop[t] for t in canFill])\n",
    "print(\"here is enclave pop by final pop for those we filled\")\n",
    "plt.show()\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "8987ad1f-d372-415d-a2ec-8fc6736c5102",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "207 975 308 198\n",
      "360 360 822\n"
     ]
    }
   ],
   "source": [
    "print(len(internals),len(edgers),len(doubleTroubleList),len(set(edgers).intersection(set(doubleTroubleList))))\n",
    "print(len(set(edgers).difference(set(canFill))) ,len(cantFill) , len(canFill))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "8fa887be-92e6-422a-8e80-e00fd3265aab",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "defining and displaying current unit use after above manipulations; compare to original farther above.\n",
      "current avg use and its sd are 0.93186 0.13092\n",
      "CCB cluster 0 = unit 5210 with pop 238369.0 now has use of 1.0082000987982638\n",
      "CCB cluster 1 = unit 5211 with pop 118146.0 now has use of 1.0002247430116806\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"defining and displaying current unit use after above manipulations; compare to original farther above.\")\n",
    "unitUse = [0. for u in range(nUnits)]\n",
    "for t in range(nHDs):\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += nDistricts * HDweight[t]\n",
    "activeUnitDistro, activeUnitWeights = list(), list()\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] > 0.1:\n",
    "        activeUnitDistro.append(unitUse[u])\n",
    "        activeUnitWeights.append(unitPop[u]/statePop)\n",
    "plt.hist(activeUnitDistro, weights=activeUnitWeights, bins = 20, histtype = \"step\")\n",
    "#plt.show()\n",
    "currAvg, currSD = getWeightedAvgAndSD(activeUnitDistro, activeUnitWeights)\n",
    "print(\"current avg use and its sd are\",r5(currAvg),r5(currSD) )\n",
    "for u, unitNo in enumerate(allUnits):\n",
    "    if unitNo % 1 == 0.25:\n",
    "        print(\"CCB cluster\",int(unitNo),\"= unit\",u,\"with pop\",unitPop[u],\"now has use of\",unitUse[u])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "e9d50ef8-39b2-4e22-a11e-cabeda78721e",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "savedHDunitList = [HDunitList[t].copy() for t in range(nHDs) ]  #safekeeping"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6e862e42-3c6f-4aae-a6d9-fb8e092c653d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 3/15/24 evening -- restart HERE "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "b759b3c7-b8a3-4d2c-a8fe-50fa93b3e940",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#savedHDunitList = [HDunitList[t].copy() for t in range(nHDs) ]  #safekeeping\n",
    "HDunitList = [savedHDunitList[t].copy() for t in range(nHDs) ]   #restart\n",
    "HDvPop = [0 for t in range(nHDs)]\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        HDvPop[t] += unitPop[u]\n",
    "plt.hist([HDvPop[t] for t in popHDlist],bins=20)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e7729308-3cd8-4c12-9199-f400f59e6f2e",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "551454fb-d57c-466f-8b31-39ccb2a728de",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "here are the HD centers for 360 cantFill HDs with border or big enclaves\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"here are the HD centers for\",len(cantFill),\"cantFill HDs with border or big enclaves\")\n",
    "for u in borderUnits:\n",
    "    plotPoly(unitGeom[u])\n",
    "for t in cantFill:\n",
    "    plotPoly(hdCP[t].buffer(0.1))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "5269a224-4a97-417c-99af-6a98df0087ae",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "working on avg unit-to-HDcp dist for HD 0\n",
      "working on avg unit-to-HDcp dist for HD 808\n",
      "working on avg unit-to-HDcp dist for HD 1620\n",
      "working on avg unit-to-HDcp dist for HD 2428\n",
      "working on avg unit-to-HDcp dist for HD 3236\n",
      "working on avg unit-to-HDcp dist for HD 4047\n",
      "working on avg unit-to-HDcp dist for HD 4852\n"
     ]
    }
   ],
   "source": [
    "barredJettisonSet = set([5210, 5211] )  #lock in the clusters\n",
    "avgDist = [0. for t in range(nHDs)]  #about 6sec per 1000 HDs\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%800 == 0:\n",
    "        print(\"working on avg unit-to-HDcp dist for HD\",t)\n",
    "    avgDist[t] =  np.sum([unitPop[u]*unitCP[u].distance(hdCP[t]) for u in HDunitList[t] ]) / HDvPop[t]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ce01cce3-e408-4cb1-8761-0cc0be4a57c4",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "6e2e44bd-a084-42f6-b533-5dc6d21912a9",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "this code will solve large enclaves so HD and complement are contiguous for 360 HDs\n",
      "working on HD 21 cantFill 0 of 360 .Time is now 0\n",
      "working on HD 114 cantFill 20 of 360 .Time is now 0\n",
      "working on HD 915 cantFill 40 of 360 .Time is now 0\n",
      "working on HD 988 cantFill 60 of 360 .Time is now 1\n",
      "working on HD 1013 cantFill 80 of 360 .Time is now 2\n",
      "working on HD 1067 cantFill 100 of 360 .Time is now 3\n",
      "working on HD 1907 cantFill 120 of 360 .Time is now 3\n",
      "working on HD 1948 cantFill 140 of 360 .Time is now 4\n",
      "working on HD 2212 cantFill 160 of 360 .Time is now 5\n",
      "working on HD 2255 cantFill 180 of 360 .Time is now 5\n",
      "working on HD 2603 cantFill 200 of 360 .Time is now 18\n",
      "working on HD 2830 cantFill 220 of 360 .Time is now 19\n",
      "working on HD 3135 cantFill 240 of 360 .Time is now 19\n",
      "working on HD 3910 cantFill 260 of 360 .Time is now 20\n",
      "working on HD 3935 cantFill 280 of 360 .Time is now 20\n",
      "working on HD 201 cantFill 300 of 360 .Time is now 21\n",
      "working on HD 1913 cantFill 320 of 360 .Time is now 22\n",
      "working on HD 2685 cantFill 340 of 360 .Time is now 22\n",
      "after the MustFree code run, we have the following for cluster usage\n",
      "current avg use and its sd are 0.93006 0.12948\n",
      "CCB cluster 0 = unit 5210 with pop 238369.0 now has use of 1.0082000987982638\n",
      "CCB cluster 1 = unit 5211 with pop 118146.0 now has use of 1.0002247430116806\n"
     ]
    },
    {
     "data": {
      "image/png": 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tWm3cuFEnT55UTU2NamtrVVpaGvieAQCAkOH3PSxbtmxRfn6+CgoKJF07M/LOO++ourpaFRUVXvU7duzQtGnTVFlZKUlKS0vTiRMntHnzZi1dulSS1NjYqAceeEDLli2TJE2fPl1PPPGEPvjgg0D3CwAAhBC/zrA4nU41NTUpNzfXYz03N1cNDQ0+t2lsbPSqX7BggU6cOKGBgQFJ0oMPPqimpiZ3QPn1r3+turo6fetb3xpylv7+fvX09Hg8AABAaPLrDEtXV5cGBwcVHx/vsR4fH6+Ojg6f23R0dPisv3Llirq6upSQkKDHH39cn3/+uR588EG5XC5duXJF3//+97V27dohZ6moqNCmTZv8GR8AAIxSAd10GxYW5vHc5XJ5rd2s/nfXjx49queff15VVVX68MMP9cYbb+inP/2pnnvuuSF7lpaW6uLFi+7HuXPnAtkVAAAwCvh1hiUuLk4Wi8XrbEpnZ6fXWZTrpk6d6rM+PDxckyZNkiRt2LBBy5cvd98X88d//Mfq6+vTX//1X6usrEzjxnnnqsjISEVGRvozPgAAGKX8OsNitVplt9tVX1/vsV5fX6+srCyf22RmZnrVHz58WBkZGYqIiJAkffnll16hxGKxyOVyuc/GAACAscvvS0IOh0Ovvfaadu/erZMnT6qkpEStra0qLCyUdO1SzYoVK9z1hYWFOnv2rBwOh06ePKndu3erpqZGa9ascdcsXrxY1dXVOnjwoE6fPq36+npt2LBB3/72t2WxWIKwmwAAYDTz+23NeXl56u7uVnl5udrb25Wenq66ujqlpKRIktrb2z0+kyU1NVV1dXUqKSnR9u3blZiYqG3btrnf0ixJ69evV1hYmNavX6+2tjZNnjxZixcv1vPPPx+EXQQAAKNdmCtErrn09PQoOjpaFy9e1MSJE0d6nJD1X20X9RevvKef/u2DSk+KHulxYBD+bgAIxK3+/ua7hAAAgPEILAAAwHgEFgAAYDwCCwAAMB6BBQAAGI/AAgAAjEdgAQAAxiOwAAAA4xFYAACA8QgsAADAeAQWAABgPAILAAAwHoEFAAAYj8ACAACMR2ABAADGI7AAAADjEVgAAIDxCCwAAMB4BBYAAGA8AgsAADAegQUAABiPwAIAAIxHYAEAAMYjsAAAAOMRWAAAgPHCR3oADI+2C5d1vs8Z9L6nOnuD3hMAgJshsISgtguXNf/lY7o8MDgs/W0RFsWOtw5LbwAAfCGwhKDzfU5dHhhUZd483T1lQtD7x463KinGFvS+AAAMhcASwu6eMkHpSdEjPQYAALeNm24BAIDxCCwAAMB4BBYAAGA8AgsAADAegQUAABiPwAIAAIxHYAEAAMYjsAAAAOMRWAAAgPEILAAAwHgBBZaqqiqlpqYqKipKdrtdx48fv2H9sWPHZLfbFRUVpRkzZmjHjh1eNRcuXNBTTz2lhIQERUVFKS0tTXV1dYGMBwAAQozfgaW2tlbFxcUqKytTc3OzsrOztXDhQrW2tvqsP336tBYtWqTs7Gw1Nzdr3bp1WrVqlQ4dOuSucTqdeuihh3TmzBm9/vrr+vTTT7Vr1y4lJSUFvmcAACBk+P3lh1u2bFF+fr4KCgokSZWVlXrnnXdUXV2tiooKr/odO3Zo2rRpqqyslCSlpaXpxIkT2rx5s5YuXSpJ2r17t7744gs1NDQoIiJCkpSSkhLoPgEAgBDj1xkWp9OppqYm5ebmeqzn5uaqoaHB5zaNjY1e9QsWLNCJEyc0MDAgSXrrrbeUmZmpp556SvHx8UpPT9cLL7ygwcHBIWfp7+9XT0+PxwMAAIQmvwJLV1eXBgcHFR8f77EeHx+vjo4On9t0dHT4rL9y5Yq6urokSb/+9a/1+uuva3BwUHV1dVq/fr1efvllPf/880POUlFRoejoaPcjOTnZn10BAACjSEA33YaFhXk8d7lcXms3q//d9atXr2rKlCnauXOn7Ha7Hn/8cZWVlam6unrInqWlpbp48aL7ce7cuUB2BQAAjAJ+3cMSFxcni8XidTals7PT6yzKdVOnTvVZHx4erkmTJkmSEhISFBERIYvF4q5JS0tTR0eHnE6nrFarV9/IyEhFRkb6Mz4AABil/DrDYrVaZbfbVV9f77FeX1+vrKwsn9tkZmZ61R8+fFgZGRnuG2wfeOABnTp1SlevXnXX/OpXv1JCQoLPsAIAAMYWvy8JORwOvfbaa9q9e7dOnjypkpIStba2qrCwUNK1SzUrVqxw1xcWFurs2bNyOBw6efKkdu/erZqaGq1Zs8Zd8/3vf1/d3d16+umn9atf/Ur/9m//phdeeEFPPfVUEHYRAACMdn6/rTkvL0/d3d0qLy9Xe3u70tPTVVdX534bcnt7u8dnsqSmpqqurk4lJSXavn27EhMTtW3bNvdbmiUpOTlZhw8fVklJie655x4lJSXp6aef1jPPPBOEXQQAAKOd34FFkoqKilRUVOTzZ3v27PFay8nJ0YcffnjDnpmZmfqP//iPQMYBAAAhLqDAAgBDOdXZOyx9Y8dblRRjG5beAMxHYAEQFLHjrbJFWFRc2zIs/W0RFh1ZnUNoAcYoAguAoEiKsenI6hyd73MGvfepzl4V17bofJ+TwAKMUQQWAEGTFGMjUAAYFgF90i0AAMCdRGABAADGI7AAAADjEVgAAIDxCCwAAMB4BBYAAGA8AgsAADAegQUAABiPwAIAAIxHYAEAAMYjsAAAAOMRWAAAgPEILAAAwHgEFgAAYLzwkR4AAG7Vqc7eoPeMHW9VUowt6H0BBBeBBYDxYsdbZYuwqLi2Jei9bREWHVmdQ2gBDEdgAWC8pBibjqzO0fk+Z1D7nursVXFti873OQksgOEILABGhaQYG6ECGMO46RYAABiPwAIAAIxHYAEAAMYjsAAAAOMRWAAAgPEILAAAwHgEFgAAYDwCCwAAMB6BBQAAGI/AAgAAjEdgAQAAxiOwAAAA4xFYAACA8QgsAADAeAQWAABgPAILAAAwHoEFAAAYL6DAUlVVpdTUVEVFRclut+v48eM3rD927JjsdruioqI0Y8YM7dixY8jagwcPKiwsTEuWLAlkNAAAEIL8Diy1tbUqLi5WWVmZmpublZ2drYULF6q1tdVn/enTp7Vo0SJlZ2erublZ69at06pVq3To0CGv2rNnz2rNmjXKzs72f08AAEDI8juwbNmyRfn5+SooKFBaWpoqKyuVnJys6upqn/U7duzQtGnTVFlZqbS0NBUUFOh73/ueNm/e7FE3ODioJ598Ups2bdKMGTMC2xsAABCS/AosTqdTTU1Nys3N9VjPzc1VQ0ODz20aGxu96hcsWKATJ05oYGDAvVZeXq7JkycrPz/fn5EAAMAYEO5PcVdXlwYHBxUfH++xHh8fr46ODp/bdHR0+Ky/cuWKurq6lJCQoPfff181NTVqaWm55Vn6+/vV39/vft7T03PrOwIAAEaVgG66DQsL83jucrm81m5Wf3390qVL+s53vqNdu3YpLi7ulmeoqKhQdHS0+5GcnOzHHgAAgNHErzMscXFxslgsXmdTOjs7vc6iXDd16lSf9eHh4Zo0aZI++eQTnTlzRosXL3b//OrVq9eGCw/Xp59+qpkzZ3r1LS0tlcPhcD/v6ekhtAAAEKL8CixWq1V2u1319fV65JFH3Ov19fV6+OGHfW6TmZmpf/3Xf/VYO3z4sDIyMhQREaHZs2fr448/9vj5+vXrdenSJW3dunXIEBIZGanIyEh/xgcAAKOUX4FFkhwOh5YvX66MjAxlZmZq586dam1tVWFhoaRrZz7a2tq0d+9eSVJhYaFeffVVORwOrVy5Uo2NjaqpqdGBAwckSVFRUUpPT/d4jZiYGEnyWgcAAGOT34ElLy9P3d3dKi8vV3t7u9LT01VXV6eUlBRJUnt7u8dnsqSmpqqurk4lJSXavn27EhMTtW3bNi1dujR4ewEAAEKa34FFkoqKilRUVOTzZ3v27PFay8nJ0YcffnjL/X31AAAAYxffJQQAAIxHYAEAAMYjsAAAAOMRWAAAgPEILAAAwHgEFgAAYDwCCwAAMB6BBQAAGC+gD44DgFByqrN3WPrGjrcqKcY2LL2BsYbAAmDMih1vlS3CouLalmHpb4uw6MjqHEILEAQEFgBjVlKMTUdW5+h8nzPovU919qq4tkXn+5wEFiAICCwAxrSkGBuBAhgFuOkWAAAYj8ACAACMR2ABAADG4x6WEdZ24XLQb/gbrrdoAgAwUggsI6jtwmXNf/mYLg8MBr23LcKi2PHWoPcFAGAkEFhG0Pk+py4PDKoyb57unjIhqL35wCoAQCghsBjg7ikTlJ4UPdJjAABgLG66BQAAxiOwAAAA4xFYAACA8QgsAADAeAQWAABgPAILAAAwHoEFAAAYj8ACAACMR2ABAADGI7AAAADjEVgAAIDxCCwAAMB4BBYAAGA8AgsAADAegQUAABiPwAIAAIxHYAEAAMYjsAAAAOMRWAAAgPEILAAAwHgEFgAAYLyAAktVVZVSU1MVFRUlu92u48eP37D+2LFjstvtioqK0owZM7Rjxw6Pn+/atUvZ2dmKjY1VbGys5s+frw8++CCQ0QAAQAjyO7DU1taquLhYZWVlam5uVnZ2thYuXKjW1laf9adPn9aiRYuUnZ2t5uZmrVu3TqtWrdKhQ4fcNUePHtUTTzyhd999V42NjZo2bZpyc3PV1tYW+J4BAICQ4Xdg2bJli/Lz81VQUKC0tDRVVlYqOTlZ1dXVPut37NihadOmqbKyUmlpaSooKND3vvc9bd682V2zb98+FRUVad68eZo9e7Z27dqlq1ev6mc/+1ngewYAAEJGuD/FTqdTTU1NWrt2rcd6bm6uGhoafG7T2Nio3Nxcj7UFCxaopqZGAwMDioiI8Nrmyy+/1MDAgO66664hZ+nv71d/f7/7eU9Pjz+7AgB3xKnO3qD3jB1vVVKMLeh9AZP5FVi6uro0ODio+Ph4j/X4+Hh1dHT43Kajo8Nn/ZUrV9TV1aWEhASvbdauXaukpCTNnz9/yFkqKiq0adMmf8YHgDsmdrxVtgiLimtbgt7bFmHRkdU5hBaMKX4FluvCwsI8nrtcLq+1m9X7WpekF198UQcOHNDRo0cVFRU1ZM/S0lI5HA73856eHiUnJ9/S/AAw3JJibDqyOkfn+5xB7Xuqs1fFtS063+cksGBM8SuwxMXFyWKxeJ1N6ezs9DqLct3UqVN91oeHh2vSpEke65s3b9YLL7ygI0eO6J577rnhLJGRkYqMjPRnfAC4o5JibIQKIEj8uunWarXKbrervr7eY72+vl5ZWVk+t8nMzPSqP3z4sDIyMjzuX3nppZf03HPP6e2331ZGRoY/YwEAgBDn97uEHA6HXnvtNe3evVsnT55USUmJWltbVVhYKOnapZoVK1a46wsLC3X27Fk5HA6dPHlSu3fvVk1NjdasWeOuefHFF7V+/Xrt3r1b06dPV0dHhzo6OtTbG/yb1QAAwOjj9z0seXl56u7uVnl5udrb25Wenq66ujqlpKRIktrb2z0+kyU1NVV1dXUqKSnR9u3blZiYqG3btmnp0qXumqqqKjmdTj366KMer7Vx40Y9++yzAe4aAAAIFQHddFtUVKSioiKfP9uzZ4/XWk5Ojj788MMh+505cyaQMQAAwBjBdwkBAADjEVgAAIDxCCwAAMB4BBYAAGA8AgsAADAegQUAABiPwAIAAIxHYAEAAMYjsAAAAOMRWAAAgPEILAAAwHgEFgAAYDwCCwAAMB6BBQAAGC98pAcAAPjvVGfvSI/gl9jxViXF2EZ6DIxiBBYAGEVix1tli7CouLZlpEfxiy3CoiOrcwgtCBiBBQBGkaQYm46sztH5PudIj3LLTnX2qri2Ref7nAQWBIzAAgCjTFKMjV/8GHO46RYAABiPwAIAAIxHYAEAAMYjsAAAAOMRWAAAgPEILAAAwHgEFgAAYDwCCwAAMB6BBQAAGI/AAgAAjEdgAQAAxiOwAAAA4xFYAACA8QgsAADAeOEjPQAAYGw41dk7LH1jx1uVFGMblt4wB4EFADCsYsdbZYuwqLi2ZVj62yIsOrI6h9AS4ggsAIBhlRRj05HVOTrf5wx671OdvSqubdH5PieBJcQRWG5B24XLw/YPDQDGgqQY27AGCi43hT4Cy020Xbis+S8f0+WBwWHpb4uwKHa8dVh6A0Co43LT2EFguYnzfU5dHhhUZd483T1lQtD7k94BIHBcbho7CCy36O4pE5SeFD3SYwAAfs9ovNzEf1b9F1Bgqaqq0ksvvaT29nZ97WtfU2VlpbKzs4esP3bsmBwOhz755BMlJibq7//+71VYWOhRc+jQIW3YsEGfffaZZs6cqeeff16PPPJIIOMBAHDbhvNy03Beahqu+y5HOmT5HVhqa2tVXFysqqoqPfDAA/rHf/xHLVy4UL/85S81bdo0r/rTp09r0aJFWrlypf7lX/5F77//voqKijR58mQtXbpUktTY2Ki8vDw999xzeuSRR/Tmm2/qscce03vvvaf777//9vcSAAA/DdflpuuXmn5x+gudD/KtBt19ThX+c9Ow3Hc50vfzhLlcLpc/G9x///267777VF1d7V5LS0vTkiVLVFFR4VX/zDPP6K233tLJkyfda4WFhfroo4/U2NgoScrLy1NPT4/+/d//3V3z53/+54qNjdWBAwduaa6enh5FR0fr4sWLmjhxoj+7dEP/1XZRf/HKe/rp3z7IJSEAwG27E2/m2LHcrklBfEPH9ZA1HL8Lb/X3t19nWJxOp5qamrR27VqP9dzcXDU0NPjcprGxUbm5uR5rCxYsUE1NjQYGBhQREaHGxkaVlJR41VRWVg45S39/v/r7+93PL168KOnajgdT76UeXe3/Ur2XetTTExbU3gCAseer46Q3V96rC18G/7KNJMV8xarEmMig9uy9dHXYfhde/719s/MnfgWWrq4uDQ4OKj4+3mM9Pj5eHR0dPrfp6OjwWX/lyhV1dXUpISFhyJqhekpSRUWFNm3a5LWenJx8q7vjl8zKYWkLAMCoMZy/Cy9duqTo6KHP3gR0021YmGe6crlcXms3q//9dX97lpaWyuFwuJ9fvXpVX3zxhSZNmnTD7XBn9fT0KDk5WefOnQvqpToEH8dqdOA4jR4cq1vjcrl06dIlJSYm3rDOr8ASFxcni8Xideajs7PT6wzJdVOnTvVZHx4erkmTJt2wZqiekhQZGanISM9TXjExMbe6K7jDJk6cyD/YUYJjNTpwnEYPjtXN3ejMynXj/GlotVplt9tVX1/vsV5fX6+srCyf22RmZnrVHz58WBkZGYqIiLhhzVA9AQDA2OL3JSGHw6Hly5crIyNDmZmZ2rlzp1pbW92fq1JaWqq2tjbt3btX0rV3BL366qtyOBxauXKlGhsbVVNT4/Hun6efflpf//rX9cMf/lAPP/ywfvKTn+jIkSN67733grSbAABgNPM7sOTl5am7u1vl5eVqb29Xenq66urqlJKSIklqb29Xa2uruz41NVV1dXUqKSnR9u3blZiYqG3btrk/g0WSsrKydPDgQa1fv14bNmzQzJkzVVtby2ewhIDIyEht3LjR6/IdzMOxGh04TqMHxyq4/P4cFgAAgDvNr3tYAAAARgKBBQAAGI/AAgAAjEdgAQAAxiOw4LZVVVUpNTVVUVFRstvtOn78+A3r9+3bp7lz5+orX/mKEhIS9Fd/9Vfq7u6+Q9OOTT//+c+1ePFiJSYmKiwsTD/+8Y9vus2xY8dkt9sVFRWlGTNmaMeOHcM/KPw+Vm+88YYeeughTZ48WRMnTlRmZqbeeeedOzPsGBfIv6vr3n//fYWHh2vevHnDNl+oIbDgttTW1qq4uFhlZWVqbm5Wdna2Fi5c6PHW9t/13nvvacWKFcrPz9cnn3yiH/3oR/rFL36hgoKCOzz52NLX16e5c+fq1VdfvaX606dPa9GiRcrOzlZzc7PWrVunVatW6dChQ8M8Kfw9Vj//+c/10EMPqa6uTk1NTfrGN76hxYsXq7m5eZgnhb/H6rqLFy9qxYoV+uY3vzlMk4Um3taM23L//ffrvvvuU3V1tXstLS1NS5YsUUVFhVf95s2bVV1drc8++8y99sorr+jFF1/UuXPn7sjMY11YWJjefPNNLVmyZMiaZ555Rm+99ZZOnjzpXissLNRHH32kxsbGOzAlpFs7Vr587WtfU15enn7wgx8Mz2Dw4s+xevzxx/WHf/iHslgs+vGPf6yWlpZhny8UcIYFAXM6nWpqalJubq7Hem5urhoaGnxuk5WVpd/85jeqq6uTy+XS//zP/+j111/Xt771rTsxMm5RY2Oj13FdsGCBTpw4oYGBgRGaCrfi6tWrunTpku66666RHgU+/NM//ZM+++wzbdy4caRHGXUILAhYV1eXBgcHvb6kMj4+3uvLLK/LysrSvn37lJeXJ6vVqqlTpyomJkavvPLKnRgZt6ijo8Pncb1y5Yq6urpGaCrcipdffll9fX167LHHRnoU/J7//u//1tq1a7Vv3z6Fh/v9QfNjHoEFty0sLMzjucvl8lq77pe//KVWrVqlH/zgB2pqatLbb7+t06dPu7+LCubwdVx9rcMcBw4c0LPPPqva2lpNmTJlpMfB7xgcHNSyZcu0adMm/dEf/dFIjzMqEfEQsLi4OFksFq+zKZ2dnV7/O7+uoqJCDzzwgP7u7/5OknTPPfdo/Pjxys7O1j/8wz8oISFh2OfGzU2dOtXncQ0PD9ekSZNGaCrcSG1trfLz8/WjH/1I8+fPH+lx8HsuXbqkEydOqLm5WX/zN38j6drlO5fLpfDwcB0+fFh/9md/NsJTmo0zLAiY1WqV3W5XfX29x3p9fb2ysrJ8bvPll19q3DjPv3YWi0XS//0PHiMvMzPT67gePnxYGRkZioiIGKGpMJQDBw7oL//yL7V//37uBzPUxIkT9fHHH6ulpcX9KCws1KxZs9TS0sKX/d4CzrDgtjgcDi1fvlwZGRnKzMzUzp071dra6r7EU1paqra2Nu3du1eStHjxYq1cuVLV1dVasGCB2tvbVVxcrD/5kz9RYmLiSO5KSOvt7dWpU6fcz0+fPq2WlhbdddddmjZtmtdxKiws1KuvviqHw6GVK1eqsbFRNTU1OnDgwEjtwpjh77E6cOCAVqxYoa1bt+pP//RP3WfGbDaboqOjR2Qfxgp/jtW4ceOUnp7usf2UKVMUFRXltY4huIDbtH37dldKSorLarW67rvvPtexY8fcP/vud7/rysnJ8ajftm2ba86cOS6bzeZKSEhwPfnkk67f/OY3d3jqseXdd991SfJ6fPe733W5XL6P09GjR1333nuvy2q1uqZPn+6qrq6+84OPQf4eq5ycnBvWY/gE8u/qd23cuNE1d+7cOzJrKOBzWAAAgPG4hwUAABiPwAIAAIxHYAEAAMYjsAAAAOMRWAAAgPEILAAAwHgEFgAAYDwCCwAAMB6BBQAAGI/AAgAAjEdgAQAAxiOwAAAA4/0/yytRoGQWOhAAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#THIS IS THE MUSTFREE CODE - for high-pop HDs with map-border enclaves, can't fill; \n",
    "#  must jettison some inHD map-boundary units to connect the enclave to the larger complement\n",
    "#For each HD to be triaged, define the list(s) of contiguous enclave units that are on the map boundary, \n",
    "#  and the in-HD map-boundary segments.  ID which in-HD MBS's adjoin one vs. two enclaves.\n",
    "#     Fill all internal enclaves, and all boundary enclaves < 0.05 aDP.\n",
    "#   Then each loop, look for boundary enclaves that can be filled without overpopping.\n",
    "#     If none, pick the 1/2 has-1-boundary-enclave-neighbor that is least painful to jettison to free an enclave.\n",
    "#       (Jettison score based on pop-to-Free and distance from HDcP)\n",
    "#         Update HDpop, HDlist, and enclave & HD-boundary associations, then re-loop\n",
    "# Later, we will swell-fill to square up pop (w/ checkEnclave) biasing toward close-to-hdCP, underused\n",
    "borderSet = set(borderUnits)\n",
    "debug, debugPlot = False, False\n",
    "startTime = time.time()  #takes about 1.5sec per HD triage\n",
    "clusterJettisonBoost = 3.  #this discourages jettisoning of underused clusters\n",
    "print(\"this code will solve large enclaves so HD and complement are contiguous for\",len(cantFill),\"HDs\")\n",
    "nEnclavesPerHD = [0 for t in range(nHDs)]\n",
    "HDenclaveLists = [list() for t in range(nHDs)]\n",
    "for iii,t in enumerate(cantFill):\n",
    "    if iii %20 == 0:\n",
    "        print(\"working on HD\",t,\"cantFill\",iii,\"of\",len(cantFill),\".Time is now\",int(time.time() - startTime) )\n",
    "    shedUs = list()    \n",
    "    enclaveLists = getEnclaveLists(HDunitList[t], unitNbrs)\n",
    "    nEnclavesPerHD[t] = len(enclaveLists)\n",
    "    HDenclaveLists[t] = enclaveLists.copy()\n",
    "    if debug:\n",
    "        print(\"pre-adjust HDpop for HD\",t,\"is\",HDvPop[t],\"I found\",len(enclaveLists),\"TOTAL enclaves\")\n",
    "    internalEnclaves, edgeEnclaves, combinedEnclBorderList = list(), list(), list()\n",
    "    for jjj, eL in enumerate(enclaveLists.copy() ):\n",
    "        enclaveBorderList = list ( set(eL).intersection(borderSet) )\n",
    "        if debug:\n",
    "            print(\"In enclave\",jjj,\"I found\",len(enclaveBorderList),\"units that were enclaved and are in the map borderSet\")\n",
    "        combinedEnclBorderList += enclaveBorderList\n",
    "        ePop = np.sum( [unitPop[u] for u in eL] )\n",
    "        if len(enclaveBorderList) == 0 or ePop < 0.05 * aDP:  #internal or small enclave.  Fill it\n",
    "            if ePop > 0:  #in a prev treatment, could be an empty (surrounded) unit that we don't care about\n",
    "                HDunitList[t] += eL\n",
    "                HDvPop[t] += ePop\n",
    "            internalEnclaves.append(eL)\n",
    "        else:\n",
    "            edgeEnclaves.append(eL)\n",
    "    if debug:\n",
    "        print(\"Of these\",len(internalEnclaves),\"were internal or small, so I filled them, leaving\",\n",
    "              len(edgeEnclaves),\"non-small border = edge enclaves\" )\n",
    "    if debugPlot:\n",
    "        print(\"Here is the original HD, internal enclaves ('x') and non-small border enclaves by enclave no\")\n",
    "        plotPoly(hdCP[t].buffer(0.3))\n",
    "        for u in HDunitList[t]:\n",
    "            if unitPop[u] > 0:\n",
    "                plotPoly(unitGeom[u],0.2)\n",
    "        for L in internalEnclaves:\n",
    "            for u in L:\n",
    "                if unitPop[u] > 0:\n",
    "                    plotPoly(unitGeom[u],1.5)\n",
    "                    plotCenter(\"x\",unitCP[u],8)\n",
    "        for L in edgeEnclaves: #############\n",
    "            for u in L:\n",
    "                if unitPop[u] > 0:\n",
    "                    plotPoly(unitGeom[u])\n",
    "                    #plotCenter(\"e\",unitCP[u],8)\n",
    "        #plotPoly(MAP,0.4)\n",
    "        #plt.show()\n",
    "    enclaveLists, combinedEnclBorderSet = list(), set(combinedEnclBorderList)\n",
    "    if len(edgeEnclaves) > 0:\n",
    "        # Now, we order by chain connectivity of HD and enclave sublists to be H0-E0-H1-E1 ... En-Hn+1\n",
    "        nonHDborderSet = borderSet.difference(  set(HDunitList[t]) )\n",
    "        nonHDlongBorderSet = nonHDborderSet.difference(combinedEnclBorderSet) #long=non HD boundary excluding enclaves\n",
    "        remainingEnclBorderSet = combinedEnclBorderSet.copy()\n",
    "        remainingHDborderSet =   borderSet.intersection(set(HDunitList[t]) )\n",
    "        #Now find the \"HDender\" unit which borders the non-enclave nonHD boundary, then find opp end of this HD bdry piece\n",
    "        HDender = list(set(getAdjoiners(nonHDlongBorderSet,unitNbrs)).intersection(remainingHDborderSet) )[0]\n",
    "        firstHDborderSet = getContigFromStarter(HDender,remainingHDborderSet,unitNbrs)\n",
    "        HDstarter = list(set(getAdjoiners(remainingEnclBorderSet,unitNbrs)).intersection(firstHDborderSet))[0]\n",
    "        HDborderSublists = [ list(firstHDborderSet) ]\n",
    "        unused = [1 for eL in edgeEnclaves]\n",
    "        eLadjoiners = [getAdjoiners(eL,unitNbrs) for eL in edgeEnclaves ]\n",
    "        for j in range(len(edgeEnclaves)): #find the enclave with the most HDstarter neighbors (at least 1)\n",
    "            found = False\n",
    "            for i,eL in enumerate(edgeEnclaves):\n",
    "                if unused[i] == 1:\n",
    "                    HDadjSet = set(HDborderSublists[j]).intersection(set(eLadjoiners[i]))\n",
    "                    if len(HDadjSet) > 0:\n",
    "                        unused[i] = 0\n",
    "                        eNo = i\n",
    "                        found = True\n",
    "                        remainingEnclBorderSet = remainingEnclBorderSet.difference(set(edgeEnclaves[eNo]) )\n",
    "                        enclaveLists.append(edgeEnclaves[eNo])\n",
    "                        remainingHDborderSet = remainingHDborderSet.difference(set(HDborderSublists[j]) )\n",
    "                        HDstarter = list(set(eLadjoiners[i]).intersection(remainingHDborderSet))[0]       \n",
    "                        HDborderSublists.append(getContigFromStarter(HDstarter,remainingHDborderSet,unitNbrs) )\n",
    "                        break\n",
    "                if found:\n",
    "                    break\n",
    "\n",
    "        enclavePops = [np.sum([unitPop[u] for u in L]) for L in enclaveLists]\n",
    "        #print(\"prior to adjustments, border enclavePops are\",enclavePops)         \n",
    "\n",
    "        nHDBS, nEnclaves = len(HDborderSublists), len(enclaveLists)\n",
    "        popToFree, freeingCounties, freeingUnits = [0. for n in range(nHDBS)], [list() for n in range(nHDBS) \n",
    "                                                                               ],[list() for n in range(nHDBS)]\n",
    "        for j,L in enumerate(HDborderSublists):\n",
    "            for u in L:\n",
    "                if int(allUnits[u]) == allUnits[u]:  #this border unit is a vtd\n",
    "                    c = countyNo[parentVTDno[allUnits[u]]]   #countyNo[allUnits[u]]\n",
    "                    if c not in freeingCounties[j]:\n",
    "                        if countyPop[c] < 0.1 * aDP:  #plan to add all in-county pop\n",
    "                            freeingCounties[j].append(c)\n",
    "                        else:\n",
    "                            popToFree[j] += unitPop[u]\n",
    "                            freeingUnits[j].append(u)\n",
    "                else: #border unit is a full county or cluster, or in a dense county.  Add the whole unit pop\n",
    "                    popToFree[j] += unitPop[u]\n",
    "                    freeingUnits[j].append(u)\n",
    "            for c in freeingCounties[j]:  #include ALL in-HD pop from each non-unit border county, not just its border units\n",
    "                #plotPoly(countyGeom[c],0.1)\n",
    "                for u in countyUnitList[c]:\n",
    "                    if u in HDunitList[t]:\n",
    "                        popToFree[j] += unitPop[u]\n",
    "                        freeingUnits[j].append(u)\n",
    "        freeingCP = [ getHDcp(  unitCP, unitPop, L) for L in freeingUnits ]\n",
    "        freeingScore = [ pTF/aDP - 0.5*freeingCP[j].distance(hdCP[t]) / avgDist[t] for j,pTF in enumerate(popToFree) ]\n",
    "        for j, fU in enumerate(freeingUnits):  #in above 0.5 is a fudgy\n",
    "            if len(barredJettisonSet.intersection(set(fU)) ) > 0: #has a cluster we want to hold onto\n",
    "                freeingScore[j] += clusterJettisonBoost #  ..so increase its score (make it harder to drop)\n",
    "        if debugPlot:\n",
    "            print(\"plotting the freeing units with negative numbers for each freeing group\")\n",
    "            for j,L in enumerate(freeingUnits):\n",
    "                for u in L:\n",
    "                    if unitPop[u] > 0:\n",
    "                        #plotPoly(unitGeom[u],0.5)\n",
    "                        plotCenter(\"-\"+str(j),unitGeom[u],6)\n",
    "                        pass\n",
    "            print(\"plotting the enclaveLists, with + numbers for each enclave\")\n",
    "            for j,L in enumerate(enclaveLists):\n",
    "                for u in L:\n",
    "                    if unitPop[u] > 0:\n",
    "                        plotPoly(unitGeom[u])\n",
    "                        plotCenter(j,unitCP[u],8)\n",
    "                        pass\n",
    "    \n",
    "    while len(enclaveLists) > 0:\n",
    "        if HDvPop[t] + np.min(enclavePops) < 1.05*aDP or np.min(enclavePops) < 0.05 * aDP:  #fill the smallest enclave\n",
    "            eNo = enclavePops.index(np.min(enclavePops))\n",
    "            HDunitList[t] += enclaveLists[eNo]\n",
    "            HDvPop[t] += enclavePops[eNo]\n",
    "            #print(t,\"=t. Absorbing enclave\",eNo,\"with pop\",enclavePops[eNo],\"HD total pop now\",int(HDfreePop[t]) )\n",
    "            enclaveBUs = list(set(enclaveLists[eNo]).intersection(set(borderUnits)) )\n",
    "            enclaveBpop = np.sum([unitPop[u] for u in enclaveBUs])\n",
    "            sNo, dropped_sNo = eNo, eNo+1\n",
    "            freeingScore[sNo] += freeingScore[sNo+1]+enclaveBpop/aDP\n",
    "            freeingUnits[sNo] += freeingUnits[sNo+1]+enclaveBUs\n",
    "            popToFree[sNo]    +=    popToFree[sNo+1]+enclaveBpop\n",
    "        else: #jettison one of the two end HD border lists; pick the less painful path to freedom\n",
    "            distList = [hdCP[t].distance(unitCP[u]) for u in HDunitList[t] ]\n",
    "            starterU = HDunitList[t][distList.index(np.min(distList))]\n",
    "            eNo, dropped_sNo = 0,0\n",
    "            if starterU not in freeingUnits[-1]:  #we can't drop the home unit, even to save an underused corner\n",
    "                if freeingScore[-1] < freeingScore[0] or starterU in freeingUnits[0]:\n",
    "                    eNo, dropped_sNo = len(enclaveLists)-1,len(enclaveLists)\n",
    "            barredIncluded0 = barredJettisonSet.intersection(set(freeingUnits[0]))\n",
    "            barredIncluded_1 = barredJettisonSet.intersection(set(freeingUnits[-1]))\n",
    "            #if len(barredIncluded0.union(barredIncluded_1)) > 0:\n",
    "            #    print(\"We are considering dropping an end unit to free from t\",t,\". Chosen, beg, end, scores are\")\n",
    "            #    print(dropped_sNo,barredIncluded0, barredIncluded_1, freeingScore[0], freeingScore[-1])\n",
    "            HDunitList[t] = list( set(HDunitList[t]).difference(set(freeingUnits[dropped_sNo]) ) )\n",
    "            HDvPop[t] -= popToFree[dropped_sNo]\n",
    "            #print(t,\"= t. Jettisoning HDborder\",dropped_sNo,\"with popToFree\",popToFree[dropped_sNo] )\n",
    "        del enclaveLists[eNo]\n",
    "        del enclavePops[eNo]\n",
    "        if debug:\n",
    "            print(t,\"= t. Now we have\",len(enclaveLists),\"left trapped.  Picked eNo, freeScores were\", eNo,freeingScore)\n",
    "        del freeingScore[dropped_sNo]\n",
    "        del freeingUnits[dropped_sNo]\n",
    "        del popToFree   [dropped_sNo] \n",
    "\n",
    "    #plotPoly(MAP,0.4)\n",
    "    if debugPlot:\n",
    "        plt.show()    \n",
    "        \n",
    "unitUse = [0.]*nUnits\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += HDweight[t]*nDistricts\n",
    "print(\"after the MustFree code run, we have the following for cluster usage\")\n",
    "activeUnitDistro, activeUnitWeights = list(), list()\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] > 0.1:\n",
    "        activeUnitDistro.append(unitUse[u])\n",
    "        activeUnitWeights.append(unitPop[u]/statePop)\n",
    "plt.hist(activeUnitDistro, weights=activeUnitWeights, bins = 20, histtype = \"step\")\n",
    "#plt.show()\n",
    "currAvg, currSD = getWeightedAvgAndSD(activeUnitDistro, activeUnitWeights)\n",
    "print(\"current avg use and its sd are\",r5(currAvg),r5(currSD) )\n",
    "for u, unitNo in enumerate(allUnits):\n",
    "    if unitNo % 1 == 0.25:\n",
    "        print(\"CCB cluster\",int(unitNo),\"= unit\",u,\"with pop\",unitPop[u],\"now has use of\",unitUse[u])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "ca9ce3cb-c150-4f39-ae55-f781d39d7f57",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "postMustFreeUnitList = [HDunitList[t].copy() for t in range(nHDs)] #safekeeping"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "id": "5c7a8176-52b6-4727-b1f4-679cdf3b7dfb",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "HDunitList = [postMustFreeUnitList[t].copy() for t in range(nHDs) ]   #restart\n",
    "HDvPop = [0 for t in range(nHDs)]\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        HDvPop[t] += unitPop[u]\n",
    "plt.hist([HDvPop[t] for t in popHDlist],bins=20)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "id": "f58fe2d0-3c62-412f-8984-ff5d67ea9b10",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "After above work, re-classification of contiguity problems?\n",
      "working on HD 0\n",
      "working on HD 500\n",
      "working on HD 1000\n",
      "working on HD 1500\n",
      "working on HD 2000\n",
      "working on HD 2500\n",
      "working on HD 3000\n",
      "working on HD 3500\n",
      "working on HD 4000\n",
      "working on HD 4500\n",
      "working on HD 5000\n",
      "out of 5106 total HDs, there were 4962 102 0 42 HDs that were clean, discontig only, enclave-only, both problems after triage\n"
     ]
    }
   ],
   "source": [
    "#THIS is the FINDSTILLBROKEN code\n",
    "print(\"After above work, re-classification of contiguity problems?\")\n",
    "discontigOnly, enclaveOnly, bothProblems, cleanList = list(), list(), list(), list()\n",
    "for t in popHDlist:\n",
    "    if t%500 == 0:\n",
    "        print(\"working on HD\",t)\n",
    "    unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(HDunitList[t], unitNbrs)\n",
    "    if unbroken and noEnclave:\n",
    "        cleanList.append(t)\n",
    "    if unbroken and not noEnclave:\n",
    "        enclaveOnly.append(t)\n",
    "    if not unbroken and noEnclave:\n",
    "        discontigOnly.append(t)\n",
    "    if not unbroken and not noEnclave:\n",
    "        bothProblems.append(t)\n",
    "print(\"out of\",len(popHDlist),\"total HDs, there were\",len(cleanList),len(discontigOnly),len(enclaveOnly),\n",
    "      len(bothProblems),\"HDs that were clean, discontig only, enclave-only, both problems after triage\")\n",
    "\n",
    "#40 5 25"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "07738f54-893c-4555-97b3-89618f73656a",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "#HDpoly = [dummyPoly for t in range(nHDs)]\n",
    "HDpoly1, HDdiam =  [dummyPoly for t in range(nHDs)], [0. for t in range(nHDs)]  #alt to below if slow\n",
    "convexMAP = countyGeom[uncutCountyList[0]]\n",
    "for c in uncutCountyList:\n",
    "    convexMAP = convexMAP.union(countyGeom[c])\n",
    "cMAPhull = convexMAP.convex_hull\n",
    "for t in range(nHDs):\n",
    "    if HDweight[t] > 0.000001 :  #HD poly was actually drawn  #[(HDradius[t][w]+0.001*maxD) for w in range(4)]\n",
    "        #HDpoly[t] = buildPoly(hdCP[t], HDradius[t], HDangle[t])  #already defined above w/buildArcPoly\n",
    "        HDpoly1[t] = HDpoly[t].intersection(cMAPhull)  #expand to catch the units on HD edge\n",
    "        HDdiam[t] = HDpoly1[t].area **0.5  #approximate, for later scoring purposes of underuse * distance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "81287aef-2e12-4dae-9429-e2128af3a2c2",
   "metadata": {},
   "outputs": [],
   "source": [
    "#ALTERNATE HDpoly building to compute unit-based HD diameters.  This is slower than above\n",
    "HDunitPoly = [hdCP[t] for t in range(nHDs)]\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if t %300 == 0:\n",
    "        print(\"building unit-fused HD shape from units for HD\",t)\n",
    "    for u in HDunitList[t]:\n",
    "        HDunitPoly[t] = HDunitPoly[t].union(unitGeom[u])\n",
    "HDdiam = [0. for t in range(nHDs)]\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%800 == 0:\n",
    "        print(\"working on current HD shape for HD number\",t)\n",
    "    HDdiam[t] = (HDunitPoly[t] ).area ** 0.5  # use (HDpoly[t].intersection(MAP) ).area ** 0.5 if we didn't convert to unit-based HDpoly's\n",
    "plt.hist([HDdiam[t] for t in popHDlist])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "9f9f4137-89ce-4f4b-b30e-83fbb6a8d6c8",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "144\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(len(discontigOnly + bothProblems))\n",
    "plt.hist([HDvPop[t] for t in discontigOnly + bothProblems])\n",
    "plt.axvline(aDP)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "id": "45e3c17c-8c16-4bc5-b7fc-25b9250ed11a",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Here, we will regrow all disco'd HDs off by more than  37697 but less than 376973\n",
      "... from the contiguous block that contains the hdCP (not full regrowth).  We will swell out, avoiding enclaves\n",
      "This is a total of 144 HDs to triage in this block\n",
      "working on swell-filling discontig HD 40 our 1 th HD we think we can swell out of 144 .Time is now 0\n",
      "working on swell-filling discontig HD 917 our 11 th HD we think we can swell out of 144 .Time is now 159\n",
      "working on swell-filling discontig HD 1073 our 21 th HD we think we can swell out of 144 .Time is now 182\n",
      "working on swell-filling discontig HD 1190 our 31 th HD we think we can swell out of 144 .Time is now 202\n",
      "working on swell-filling discontig HD 1913 our 41 th HD we think we can swell out of 144 .Time is now 370\n",
      "working on swell-filling discontig HD 2266 our 51 th HD we think we can swell out of 144 .Time is now 440\n",
      "working on swell-filling discontig HD 2484 our 61 th HD we think we can swell out of 144 .Time is now 549\n",
      "working on swell-filling discontig HD 3151 our 71 th HD we think we can swell out of 144 .Time is now 643\n",
      "working on swell-filling discontig HD 3239 our 81 th HD we think we can swell out of 144 .Time is now 722\n",
      "working on swell-filling discontig HD 3807 our 91 th HD we think we can swell out of 144 .Time is now 775\n",
      "working on swell-filling discontig HD 4783 our 101 th HD we think we can swell out of 144 .Time is now 970\n",
      "working on swell-filling discontig HD 1264 our 111 th HD we think we can swell out of 144 .Time is now 1141\n",
      "working on swell-filling discontig HD 2653 our 121 th HD we think we can swell out of 144 .Time is now 1231\n",
      "working on swell-filling discontig HD 2733 our 131 th HD we think we can swell out of 144 .Time is now 1244\n",
      "working on swell-filling discontig HD 3224 our 141 th HD we think we can swell out of 144 .Time is now 1471\n",
      "we partially regrew 120 HDs, leaving 24 to regrow from scratch\n"
     ]
    }
   ],
   "source": [
    "### THIS IS THE CANSWELL CODE\n",
    "print(\"Here, we will regrow all disco'd HDs off by more than \",int(aDP-minPostFixPop),\"but less than\",\n",
    "      int(0.5*aDP) ) #int(0.25*aDP) )\n",
    "print(\"... from the contiguous block that contains the hdCP (not full regrowth).  We will swell out, avoiding enclaves\")\n",
    "HDnAddedUnits = [0 for t in range(nHDs)]\n",
    "maxGap = 0.9 * np.median(unitPop)  #set a reasonable gap prior to picking the last block\n",
    "HDdiam = [HDpoly[t].area ** 0.5 for t in range(nHDs) ] #in case not defined before\n",
    "badDiscoList = list()\n",
    "nCanSwell = 0\n",
    "triageList = discontigOnly + bothProblems\n",
    "print(\"This is a total of\",len(triageList),\"HDs to triage in this block\")\n",
    "startTime = time.time()\n",
    " \n",
    "for i,t in enumerate(triageList): #canSwell\n",
    "    if i%10 == 0:\n",
    "        print(\"working on swell-filling discontig HD\",t,\"our\",i+1,\"th HD we think we can swell out of\",len(triageList),\n",
    "              \".Time is now\",int(time.time() - startTime) )\n",
    "    distList = [hdCP[t].distance(unitCP[u]) for u in HDunitList[t] ]\n",
    "    starterU = HDunitList[t][distList.index(np.min(distList))]  #starter = unit with centroid closest to the hd center\n",
    "    contigUs = getContigFromStarter(starterU, HDunitList[t], unitNbrs)\n",
    "    contigPop = np.sum( [ unitPop[u] for u in contigUs ] )\n",
    "    if contigPop < 0.5 * aDP or contigPop > 2.*aDP - minPostFixPop:  \n",
    "        badDiscoList.append(t)\n",
    "    else: #rebuild from this big piece\n",
    "        nCanSwell +=1\n",
    "        gap = aDP - contigPop\n",
    "        origGap = gap\n",
    "        currList, addedList = contigUs.copy(), list()\n",
    "        adjoiners = getAdjoiners(currList, unitNbrs)\n",
    "        nearHDlist = [uu for uu in adjoiners]  #bias toward underused, close to HD (and its center)\n",
    "        nearHDscore = [ 0.2*(unitUse[uu] - 1.) + 0.5*(unitCP[uu].distance(\n",
    "            HDpoly[t]) + unitCP[uu].distance(hdCP[t]) ) / HDdiam[t] for uu in adjoiners ] \n",
    "        stillGoing = True\n",
    "\n",
    "        while gap > maxGap and len(nearHDlist) > 0 and stillGoing:   #add the lowest-scoring neighboring underused unit until we've roughly squared the HDpop\n",
    "            idx, i, notYetPicked = np.argsort(nearHDscore), 0, True\n",
    "            while i < len(nearHDscore) and notYetPicked:        \n",
    "                listNo = idx[i]   #nearHDscore.index(np.min(nearHDscore))\n",
    "                unitNoToAdd = nearHDlist[listNo]  #add this unit ...\n",
    "                canAdd  = wontEnclave(unitNoToAdd, currList, unitNbrs, borderUnits)\n",
    "                if canAdd:\n",
    "                    notYetPicked = False\n",
    "                else:\n",
    "                    i +=1\n",
    "            if notYetPicked:\n",
    "                stillGoing = False  #can't add any more units without creating an enclave\n",
    "            else: #we selected the best unit to add legally\n",
    "                gap -= unitPop[unitNoToAdd]\n",
    "                addedList.append(unitNoToAdd)  #so add it to our growing HD ...\n",
    "                currList.append( unitNoToAdd)\n",
    "                for uu in unitNbrs[unitNoToAdd]:             # ... and add its nonHD neighbors to future candidates\n",
    "                    if uu not in currList and uu not in nearHDlist and unitPop[uu] < gap + maxGap:  \n",
    "                        nearHDlist.append(uu)\n",
    "                        nearHDscore.append(0.2*(unitUse[uu] - 1.) + 0.5*(unitCP[uu].distance(\n",
    "                            HDpoly[t]) + unitCP[uu].distance(hdCP[t]) ) / HDdiam[t] )\n",
    "                del nearHDscore[nearHDlist.index(unitNoToAdd)]        \n",
    "                del nearHDlist[ nearHDlist.index(unitNoToAdd) ]\n",
    "                for i, uu in enumerate(nearHDlist.copy()):\n",
    "                    if unitPop[uu] > gap + maxGap:   #with the added pop from another unit, this unit is now too big to add\n",
    "                        del nearHDscore[nearHDlist.index(uu)]\n",
    "                        del nearHDlist[ nearHDlist.index(uu)]\n",
    "        for u in addedList:\n",
    "            unitUse[u] += HDweight[t] * nDistricts\n",
    "        for u in list( set(HDunitList[t]).difference(set(contigUs)) ):\n",
    "            unitUse[u] -= HDweight[t] * nDistricts       \n",
    "        HDunitList[t] = contigUs + addedList\n",
    "        HDvPop[t]    = np.sum( [unitPop[u] for u in HDunitList[t] ] )\n",
    "        HDnAddedUnits[t] = len(addedList)\n",
    "    \n",
    "badDiscoList += enclaveOnly\n",
    "print(\"we partially regrew\",nCanSwell,\"HDs, leaving\",len(badDiscoList),\"to regrow from scratch\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "id": "f57325dd-523c-466a-80cb-8e10b739b4ac",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "previous avg use and its sd are 0.93047 0.1283\n",
      "defining and displaying current unit use after above manipulations; compare to original farther above.\n",
      "current avg use and its sd are 0.93083 0.12702\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"previous avg use and its sd are\",r5(currAvg),r5(currSD) )\n",
    "print(\"defining and displaying current unit use after above manipulations; compare to original farther above.\")\n",
    "unitUse = [0. for u in range(nUnits)]\n",
    "for t in range(nHDs):\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += nDistricts * HDweight[t]\n",
    "activeUnitDistro, activeUnitWeights = list(), list()\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] > 0.1:\n",
    "        activeUnitDistro.append(unitUse[u])\n",
    "        activeUnitWeights.append(unitPop[u]/statePop)\n",
    "plt.hist(activeUnitDistro, weights=activeUnitWeights, bins = 20, histtype = \"step\")\n",
    "#plt.show()\n",
    "currAvg, currSD = getWeightedAvgAndSD(activeUnitDistro, activeUnitWeights)\n",
    "print(\"current avg use and its sd are\",r5(currAvg),r5(currSD) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "id": "0ce918e1-0d30-4930-9fb8-0769d793683c",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "quick classification: who has contiguity problems?\n",
      "working on HD 0 time is now 0\n",
      "working on HD 1008 time is now 8\n",
      "working on HD 2024 time is now 16\n",
      "working on HD 3033 time is now 24\n",
      "working on HD 4047 time is now 33\n",
      "working on HD 5052 time is now 43\n",
      "out of 5106 total HDs, there were 5082.0 contiguous and 5083.0 complement-contiguous HDs\n",
      "13 HDs had both discontiguity problems, while enclave-only = 10 and discontig only= 11\n",
      "here are the histograms of the small piece and enclave list lengths, total no = 24 10\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "And here are the small-HD-piece and small-enclave pops\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#THIS is the FINDSTILLBROKEN code\n",
    "print(\"quick classification: who has contiguity problems?\")\n",
    "nUnbroken, nNoEnclave, smallPieceLists, enclaveLists, sPgenerator, eLgenerator = 0., 0., list(), list(), list(), list()\n",
    "smallPieceLengths, enclaveLengths = list(), list()\n",
    "doubleTroubleList = list()\n",
    "startTime = time.time()\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%1000 == 0:\n",
    "        print(\"working on HD\",t,\"time is now\",int(time.time() - startTime) )\n",
    "    unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(HDunitList[t], unitNbrs)\n",
    "    if unbroken:\n",
    "        nUnbroken +=1\n",
    "    if noEnclave:\n",
    "        nNoEnclave +=1\n",
    "    if not unbroken:\n",
    "        smallPieceLists.append(smallPieceList)\n",
    "        smallPieceLengths.append(len(smallPieceList))\n",
    "        sPgenerator.append(t)\n",
    "    if not noEnclave and unbroken:   #district is contiguous but contains 1+ enclave\n",
    "        enclaveLists.append(enclaveList)\n",
    "        enclaveLengths.append(len(enclaveList))\n",
    "        eLgenerator.append(t)\n",
    "    if not noEnclave and not unbroken:  #extremely discontig (\"broken\") HDs can appear to have enclaves;\n",
    "        doubleTroubleList.append(t)\n",
    "print(\"out of\",len(popHDlist),\"total HDs, there were\",nUnbroken,\"contiguous and\",nNoEnclave,\"complement-contiguous HDs\")\n",
    "print(len(doubleTroubleList),\"HDs had both discontiguity problems, while enclave-only =\",len(eLgenerator),\n",
    "      \"and discontig only=\",len(sPgenerator)-len(doubleTroubleList) )\n",
    "\n",
    "print(\"here are the histograms of the small piece and enclave list lengths, total no =\",\n",
    "      len(smallPieceLists),len(enclaveLists) )\n",
    "plt.hist([s for s in smallPieceLengths],label=\"small piece l units\",histtype='step',\n",
    "         cumulative=True,bins=[0,1,2,3,4,5,6,8,10,12,15,20,25,30,35,40,45,50,60,80,120,200])\n",
    "plt.hist([e for e in enclaveLengths],label=\"enclave l units\",histtype='step',\n",
    "         cumulative=True,bins=[0,1,2,3,4,5,6,8,10,12,15,20,25,30,35,40,45,50,60,80,120,200])\n",
    "plt.legend()\n",
    "plt.show()\n",
    "print(\"And here are the small-HD-piece and small-enclave pops\")\n",
    "plt.hist([sum(unitPop[u] for u in s) for s in smallPieceLists],label=\"small piece 1 pop\",histtype='step')\n",
    "plt.hist([sum(unitPop[u] for u in e) for e in enclaveLists],label=\"enclave 1 pop\",histtype='step')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "id": "463db75a-694e-4c7d-9693-e10f3b4d65db",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Before addressing enclaves, let's triage the discontinuous HDs\n",
      "Now work on dropping smallish disconnected pieces that would keep us above 716250 district pop vs 753947 target\n",
      "we'll also trim any HD with total islands' pop <= 15078\n",
      "working on HD 1099\n",
      "Out of 24 discontig HDs 24 had discontig HDs.\n",
      "Of these, 0 won't be under 716250 after all minor discontigys were shed, while 24 would be too underpopped if we trimmed the discontig pieces\n",
      "here is adjusted pop by original pop for those we trimmed and those we didn't (x)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now, reclassify after the trimming\n",
      "There are 24 HDs still with both discontinuity problems\n",
      "Additionally, 0 of the originally discontig HDs are now contig but still have an enclave\n"
     ]
    }
   ],
   "source": [
    "print(\"Before addressing enclaves, let's triage the discontinuous HDs\")\n",
    "#this is the CANTRIM code####\n",
    "\n",
    "maxNudgeDownPop = int(0.02 * aDP)\n",
    "minPostFixPop = int(0.95 * aDP)\n",
    "print(\"Now work on dropping smallish disconnected pieces that would keep us above\",minPostFixPop,\"district pop vs\",int(aDP),\"target\")\n",
    "print(\"we'll also trim any HD with total islands' pop <=\",maxNudgeDownPop)\n",
    "nOrigIslands = [0 for t in range(nHDs)]\n",
    "totalIslandPop = [0. for t in range(nHDs)]\n",
    "tryToTrim, canTrim, cantTrim = list(), list(), list()\n",
    "for jj, t in enumerate(sPgenerator):\n",
    "    if jj%100 == 0:\n",
    "        print(\"working on HD\",t)\n",
    "    currList, shedList, shedPop = HDunitList[t].copy(), list(),  0.\n",
    "    done,newList = isContiguous(currList,unitNbrs)\n",
    "    if not done:\n",
    "        tryToTrim.append(t)\n",
    "        while not done:\n",
    "            shedList += newList\n",
    "            shedPop += np.sum( [unitPop[u] for u in newList] )\n",
    "            currList = list (  set(currList).difference(set(newList ))  )\n",
    "            done, newList = isContiguous(currList, unitNbrs)\n",
    "            nOrigIslands[t] +=1\n",
    "            \n",
    "        totalIslandPop[t] = shedPop            \n",
    "        if shedPop <= maxNudgeDownPop or HDvPop[t] - shedPop >= minPostFixPop:\n",
    "            canTrim.append(t)\n",
    "            HDvPop[t] -= shedPop\n",
    "            HDunitList[t] = list (set(HDunitList[t]).difference(set(shedList)) )\n",
    "        else:\n",
    "            cantTrim.append(t)\n",
    "print(\"Out of\",len(sPgenerator),\"discontig HDs\",len(tryToTrim),\"had discontig HDs.\")\n",
    "print(\"Of these,\",len(canTrim),\"won't be under\",minPostFixPop,\"after all minor discontigys were shed, while\",\n",
    "      len(cantTrim),\"would be too underpopped if we trimmed the discontig pieces\")\n",
    "plt.scatter([HDvPop[t] + totalIslandPop[t] for t in canTrim],[HDvPop[t] for t in canTrim])\n",
    "plt.scatter([HDvPop[t]                     for t in cantTrim],[HDvPop[t] for t in cantTrim],marker=\"x\")\n",
    "print(\"here is adjusted pop by original pop for those we trimmed and those we didn't (x)\")\n",
    "plt.plot([0.9*aDP, 1.1*aDP],[aDP, aDP], ls=\"--\")\n",
    "plt.show()\n",
    "\n",
    "print(\"Now, reclassify after the trimming\")\n",
    "badDiscoList, stillHasEnclave = list(), list()\n",
    "for t in sPgenerator:    \n",
    "    unbroken, noEnclave, __, ____ = enclaveCheck(HDunitList[t], unitNbrs)\n",
    "    if not unbroken:\n",
    "        badDiscoList.append(t)  #will do a major triage on these later\n",
    "    if unbroken and not noEnclave:\n",
    "        stillHasEnclave.append(t)\n",
    "print(\"There are\",len(badDiscoList),\"HDs still with both discontinuity problems\")\n",
    "print(\"Additionally,\",len(stillHasEnclave),\"of the originally discontig HDs are now contig but still have an enclave\")\n",
    "eLgenerator += stillHasEnclave"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "id": "1f3cc7eb-820c-445f-bf85-39fcc2a60000",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now, let's fill in all enclaves that won't put us over 791644 district pop vs 753947 target\n",
      "working on enclave-y HD 453 . We have evaluated 0 of 10 enclavy HDs.Time is now 0\n",
      "Out of 10 HDs with enclaves 10 had enclaves.\n",
      "Of these, 9 wouldn't be over 791644 if all enclaves filled, while 1 were too populous\n",
      "here is enclave pop by final pop for those we filled\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#special for IN -- try to solve the new enclave-only\n",
    "\n",
    "### THIS IS THE \"CANFILL\" CODE  #check if sum of enclave pops small enough to add\n",
    "maxNudgeUpPop = int(0.02 * aDP)\n",
    "maxPostFixPop = int(1.05 * aDP)\n",
    "print(\"Now, let's fill in all enclaves that won't put us over\",maxPostFixPop,\"district pop vs\",int(aDP),\"target\")\n",
    "nOrigEnclaves = [0 for t in range(nHDs)]\n",
    "totalEnclavePop = [0. for t in range(nHDs)]\n",
    "tryToFill, canFill, cantFill = list(), list(), list()\n",
    "startTime = time.time()  #takes about xx sec per HD triage\n",
    "        \n",
    "for iii, t in enumerate(eLgenerator):\n",
    "    if iii%50 == 0:\n",
    "        print(\"working on enclave-y HD\",t,\". We have evaluated\",iii,\"of\",len(eLgenerator),\"enclavy HDs.Time is now\",int(time.time() - startTime) )\n",
    "    unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(HDunitList[t], unitNbrs)\n",
    "    if unbroken and not noEnclave:  #\"and unbroken\" new 1/15 - discontig HDs will usually appear to have enclaves.  We'll fix these in later block\n",
    "        tryToFill.append(t)\n",
    "        enclaveLists = getEnclaveLists(HDunitList[t], unitNbrs)\n",
    "        nOrigEnclaves[t] = len(enclaveLists)\n",
    "        totalEnclavePop[t] = np.sum( [ [np.sum([unitPop[u] for u in eL])] for eL in enclaveLists ] ) \n",
    "        if HDvPop[t] + totalEnclavePop[t] <= maxPostFixPop or totalEnclavePop[t] < maxNudgeUpPop:\n",
    "            canFill.append(t)\n",
    "            for eL in enclaveLists:\n",
    "                HDunitList[t] += eL\n",
    "                HDvPop[t] += np.sum([unitPop[u] for u in eL])\n",
    "        else:\n",
    "            cantFill.append(t)\n",
    "print(\"Out of\",len(eLgenerator),\"HDs with enclaves\",len(tryToFill),\"had enclaves.\")\n",
    "print(\"Of these,\",len(canFill),\"wouldn't be over\",maxPostFixPop,\"if all enclaves filled, while\",len(cantFill),\"were too populous\")\n",
    "plt.scatter([HDvPop[t] for t in canFill],[totalEnclavePop[t] for t in canFill])\n",
    "print(\"here is enclave pop by final pop for those we filled\")\n",
    "plt.show()\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "id": "39d37c15-759f-462c-b503-047b6b5e1554",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "13 HDs had both discontiguity problems, while enclave-only = 1 and discontig only= 11\n"
     ]
    }
   ],
   "source": [
    "eLgenerator = cantFill.copy() #based on above\n",
    "badDiscoList = sPgenerator.copy()\n",
    "print(len(doubleTroubleList),\"HDs had both discontiguity problems, while enclave-only =\",len(eLgenerator),\n",
    "      \"and discontig only=\",len(sPgenerator)-len(doubleTroubleList) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "id": "6e16dfee-b5bc-4863-8bed-9a6b22290aaa",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "This code looks for quick fixes to discontig HDs - can we make contiguous by adding one or two units\n",
      "trying to link HD 1099 our 1 th HD we must regrow out of 24 0 sec elapsed\n",
      "trying to link HD 2682 our 11 th HD we must regrow out of 24 1 sec elapsed\n",
      "trying to link HD 3154 our 21 th HD we must regrow out of 24 2 sec elapsed\n",
      "all done looking for short links.  Number of border, inner links = 5 0 out of 24 attempts\n"
     ]
    }
   ],
   "source": [
    "#THIS IS THE CANLINK CODE (new for IN - connect with small bridge along the border set or interior)\n",
    "print(\"This code looks for quick fixes to discontig HDs - can we make contiguous by adding one or two units\")\n",
    "startTime = time.time()\n",
    "relinkedList, nBorderLinked, nInnerLinked = list(), 0, 0\n",
    "for loopI, t in enumerate(badDiscoList) :  #badDiscoList\n",
    "    if loopI%10 == 0:\n",
    "        print(\"trying to link HD\",t,\"our\",loopI+1,\"th HD we must regrow out of\",len(badDiscoList),int(time.time()-startTime),\"sec elapsed\")\n",
    "    notInCluster = True\n",
    "    for jj, geo in enumerate(CCBgeom):  #force in-corner HDs to grow from the corner cluster\n",
    "        if geo.contains(hdCP[t]):\n",
    "            starterU = allUnits.index(jj+0.25)\n",
    "            notInCluster = False\n",
    "    if notInCluster:\n",
    "        distList = [hdCP[t].distance(unitCP[u]) for u in HDunitList[t] ]\n",
    "        starterU = HDunitList[t][distList.index(np.min(distList))]  #starter = unit with centroid closest to the hd center\n",
    "    contigSet = set(getContigFromStarter(starterU, HDunitList[t], unitNbrs))\n",
    "    discoSet = set(HDunitList[t]).difference(contigSet)  #the units in the original HD that are disconnected from the starter piece\n",
    "    canLink = False\n",
    "    if len(discoSet) > 0:  #should always be true, unless we misclassified this HD before this block\n",
    "        HDunitSET = set(HDunitList[t])\n",
    "        HDborderList = list(HDunitSET.intersection(borderSet))  #first try extending the HD along the map border\n",
    "        HDborderNbrs = (set(getAdjoiners(HDborderList,unitNbrs)).difference(HDunitSET) ).intersection(borderSet)\n",
    "        excessSet = set( )\n",
    "        for uu in HDborderNbrs.copy():  #looking for newly added units that aren't linkers; they are on edge of expanded HD\n",
    "            if len(set(unitNbrs[uu]).intersection(set(HDborderList).union(HDborderNbrs)) ) < 2: #edge unit; discard\n",
    "                excessSet.add(uu)        \n",
    "        testList = list(HDunitSET.union(HDborderNbrs.difference(excessSet))) \n",
    "        unbroken, noEnclave, __, ___ = enclaveCheck(testList, unitNbrs)\n",
    "        canLink = (unbroken and noEnclave)\n",
    "        if canLink:\n",
    "            addedList = set(testList).difference(HDunitSET)\n",
    "            nBorderLinked +=1\n",
    "        if not canLink:  #the border approach didn't work.  Now try interior bridges\n",
    "            HDnonBorderNbrs = set(getAdjoiners(HDunitList[t],unitNbrs)).difference(HDborderNbrs)          \n",
    "            excessSet = set( )\n",
    "            for uu in HDnonBorderNbrs.copy():  #looking for newly added units that aren't linkers; they are on edge of expanded HD\n",
    "                if len(set(unitNbrs[uu]).intersection(set(HDunitSET)) ) < 2: #not a 1-unit bridger\n",
    "                    excessSet.add(uu) \n",
    "            testList = list(HDunitSET.union(HDnonBorderNbrs.difference(excessSet)))  \n",
    "            unbroken, noEnclave, __, ___ = enclaveCheck(testList, unitNbrs)\n",
    "            canLink = (unbroken and noEnclave)\n",
    "            if canLink:\n",
    "                addedList = set(testList).difference(HDunitSET)\n",
    "                nInnerLinked +=1\n",
    "        if canLink:\n",
    "            relinkedList.append(t)\n",
    "            for u in addedList:\n",
    "                unitUse[u] += HDweight[t] * nDistricts   \n",
    "            HDunitList[t] += addedList\n",
    "            HDvPop[t]    = np.sum( [unitPop[u] for u in HDunitList[t] ] )\n",
    "print(\"all done looking for short links.  Number of border, inner links =\",nBorderLinked, nInnerLinked,\"out of\",len(badDiscoList),\"attempts\")\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "id": "77fd758c-932c-4498-81fc-85869bdc64c3",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "we have 19 remaining discontiguous HDs.  Here are their pops\n"
     ]
    },
    {
     "data": {
      "image/png": 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SNHbs2H5r6uvrlZeXFzY2e/ZsNTQ06Ny5c33OCQaDCgQCYRsAABiZHF0Z+XPGGBUVFemBBx5QZmZmv3UdHR1KSEgIG0tISFBPT49Onjwpr9fba05JSYnWr18/1NYA4LpLeXqX7RYcO75hju0WHBuO6wznhnxlZOnSpfrwww/12muvXbHW5XKF7Rtj+hy/pLi4WF1dXaGtra1tqG0CAICvuCFdGXnyySf15ptvqq6uTuPHjx+wNjExUR0dHWFjnZ2dioiIUFxcXJ9z3G633G73UFoDAADDjKMrI8YYLV26VDt37tT//M//KDU19YpzcnJyVF1dHTZWVVWl7OxsRUZGOusWAACMOI7CyJIlS1RZWalXX31VMTEx6ujoUEdHh/74xz+GaoqLi/X444+H9gsLC3XixAkVFRXp8OHD2rJlizZv3qxVq1Zdu1cBAACGLUdhpLy8XF1dXZo1a5a8Xm9o27FjR6jG7/ertbU1tJ+amqrdu3erpqZG999/v5577jlt3LiRx3oBAIAkh/eMXLrxdCBbt27tNTZz5kw1NjY6ORUAALhJ8N00AADAKsIIAACwijACAACsIowAAACrCCMAAMAqwggAALCKMAIAAKwijAAAAKsIIwAAwCrCCAAAsIowAgAArCKMAAAAqwgjAADAKsIIAACwijACAACsIowAAACrCCMAAMAqwggAALCKMAIAAKwijAAAAKsIIwAAwCrCCAAAsIowAgAArCKMAAAAqwgjAADAKsIIAACwijACAACsIowAAACrCCMAAMAqwggAALCKMAIAAKwijAAAAKsIIwAAwCrHYaSurk5z585VUlKSXC6X3njjjQHra2pq5HK5em1HjhwZas8AAGAEiXA64ezZs5o8ebJ++MMfat68eYOed/ToUcXGxob2v/71rzs9NQAAGIEch5H8/Hzl5+c7PlF8fLxuu+02x/MAAMDIdsPuGZkyZYq8Xq9yc3O1d+/eAWuDwaACgUDYBgAARqbrHka8Xq82bdokn8+nnTt3Kj09Xbm5uaqrq+t3TklJiTweT2hLTk6+3m0CAABLHL9N41R6errS09ND+zk5OWpra1NpaalmzJjR55zi4mIVFRWF9gOBAIEEAIARysqjvVOnTtWxY8f6Pe52uxUbGxu2AQCAkclKGGlqapLX67VxagAA8BXj+G2azz//XL/73e9C+y0tLTp06JDGjh2rCRMmqLi4WO3t7dq2bZskqaysTCkpKcrIyFB3d7cqKyvl8/nk8/mu3asAAADDluMw0tDQoAcffDC0f+nejoULF2rr1q3y+/1qbW0NHe/u7taqVavU3t6u6OhoZWRkaNeuXSooKLgG7QMAgOHOcRiZNWuWjDH9Ht+6dWvY/urVq7V69WrHjQEAgJsD300DAACsIowAAACrCCMAAMAqwggAALCKMAIAAKwijAAAAKsIIwAAwCrCCAAAsIowAgAArCKMAAAAqwgjAADAKsIIAACwijACAACsIowAAACrCCMAAMAqwggAALCKMAIAAKwijAAAAKsIIwAAwCrCCAAAsIowAgAArCKMAAAAqwgjAADAKsIIAACwijACAACsIowAAACrCCMAAMAqwggAALCKMAIAAKwijAAAAKsIIwAAwCrCCAAAsIowAgAArHIcRurq6jR37lwlJSXJ5XLpjTfeuOKc2tpaZWVlKSoqSmlpaaqoqBhKrwAAYARyHEbOnj2ryZMn64UXXhhUfUtLiwoKCjR9+nQ1NTVpzZo1WrZsmXw+n+NmAQDAyBPhdEJ+fr7y8/MHXV9RUaEJEyaorKxMkjRx4kQ1NDSotLRU8+bNc3p6AAAwwlz3e0bq6+uVl5cXNjZ79mw1NDTo3Llzfc4JBoMKBAJhGwAAGJkcXxlxqqOjQwkJCWFjCQkJ6unp0cmTJ+X1envNKSkp0fr16693a7jBUp7eZbsFx45vmGO7BeCaGY5/g7g53JCnaVwuV9i+MabP8UuKi4vV1dUV2tra2q57jwAAwI7rfmUkMTFRHR0dYWOdnZ2KiIhQXFxcn3Pcbrfcbvf1bg0AAHwFXPcrIzk5Oaqurg4bq6qqUnZ2tiIjI6/36QEAwFec4zDy+eef69ChQzp06JCki4/uHjp0SK2trZIuvsXy+OOPh+oLCwt14sQJFRUV6fDhw9qyZYs2b96sVatWXZtXAAAAhjXHb9M0NDTowQcfDO0XFRVJkhYuXKitW7fK7/eHgokkpaamavfu3Vq5cqVefPFFJSUlaePGjTzWCwAAJA0hjMyaNSt0A2pftm7d2mts5syZamxsdHoqAABwE+C7aQAAgFWEEQAAYBVhBAAAWEUYAQAAVhFGAACAVYQRAABgFWEEAABYRRgBAABWEUYAAIBVhBEAAGAVYQQAAFhFGAEAAFYRRgAAgFWEEQAAYBVhBAAAWEUYAQAAVhFGAACAVYQRAABgFWEEAABYRRgBAABWEUYAAIBVhBEAAGAVYQQAAFhFGAEAAFYRRgAAgFWEEQAAYBVhBAAAWEUYAQAAVhFGAACAVYQRAABgFWEEAABYRRgBAABWEUYAAIBVQwojL730klJTUxUVFaWsrCy9++67/dbW1NTI5XL12o4cOTLkpgEAwMjhOIzs2LFDK1as0Nq1a9XU1KTp06crPz9fra2tA847evSo/H5/aLv77ruH3DQAABg5HIeRn/zkJ/rRj36kxYsXa+LEiSorK1NycrLKy8sHnBcfH6/ExMTQNmrUqCE3DQAARg5HYaS7u1sHDx5UXl5e2HheXp727ds34NwpU6bI6/UqNzdXe/fuHbA2GAwqEAiEbQAAYGRyFEZOnjyp8+fPKyEhIWw8ISFBHR0dfc7xer3atGmTfD6fdu7cqfT0dOXm5qqurq7f85SUlMjj8YS25ORkJ20CAIBhJGIok1wuV9i+MabX2CXp6elKT08P7efk5KitrU2lpaWaMWNGn3OKi4tVVFQU2g8EAgQSAABGKEdXRsaNG6dRo0b1ugrS2dnZ62rJQKZOnapjx471e9ztdis2NjZsAwAAI5OjMDJ69GhlZWWpuro6bLy6ulrTpk0b9M9pamqS1+t1cmoAADBCOX6bpqioSAsWLFB2drZycnK0adMmtba2qrCwUNLFt1ja29u1bds2SVJZWZlSUlKUkZGh7u5uVVZWyufzyefzXdtXAgAAhiXHYeSRRx7RZ599pmeffVZ+v1+ZmZnavXu37rzzTkmS3+8P+8yR7u5urVq1Su3t7YqOjlZGRoZ27dqlgoKCa/cqAADAsDWkG1h//OMf68c//nGfx7Zu3Rq2v3r1aq1evXoopwEAADcBvpsGAABYRRgBAABWEUYAAIBVhBEAAGAVYQQAAFhFGAEAAFYRRgAAgFWEEQAAYBVhBAAAWEUYAQAAVhFGAACAVYQRAABgFWEEAABYRRgBAABWEUYAAIBVhBEAAGAVYQQAAFhFGAEAAFYRRgAAgFWEEQAAYBVhBAAAWEUYAQAAVhFGAACAVYQRAABgFWEEAABYRRgBAABWEUYAAIBVhBEAAGAVYQQAAFhFGAEAAFYRRgAAgFWEEQAAYBVhBAAAWDWkMPLSSy8pNTVVUVFRysrK0rvvvjtgfW1trbKyshQVFaW0tDRVVFQMqVkAADDyOA4jO3bs0IoVK7R27Vo1NTVp+vTpys/PV2tra5/1LS0tKigo0PTp09XU1KQ1a9Zo2bJl8vl8V908AAAY/hyHkZ/85Cf60Y9+pMWLF2vixIkqKytTcnKyysvL+6yvqKjQhAkTVFZWpokTJ2rx4sVatGiRSktLr7p5AAAw/EU4Ke7u7tbBgwf19NNPh43n5eVp3759fc6pr69XXl5e2Njs2bO1efNmnTt3TpGRkb3mBINBBYPB0H5XV5ckKRAIOGl3UC4Ev7jmPxMjx/X4nbvehuPvNOsM2HW9/gYv/VxjzIB1jsLIyZMndf78eSUkJISNJyQkqKOjo885HR0dfdb39PTo5MmT8nq9veaUlJRo/fr1vcaTk5OdtAtcNU+Z7Q5uDqwzYNf1/hs8c+aMPB5Pv8cdhZFLXC5X2L4xptfYler7Gr+kuLhYRUVFof0LFy7oD3/4g+Li4gY8z0gQCASUnJystrY2xcbG2m7nK421GhzWafBYq8FjrQbnZl8nY4zOnDmjpKSkAeschZFx48Zp1KhRva6CdHZ29rr6cUliYmKf9REREYqLi+tzjtvtltvtDhu77bbbnLQ67MXGxt6Uv7hDwVoNDus0eKzV4LFWg3Mzr9NAV0QucXQD6+jRo5WVlaXq6uqw8erqak2bNq3POTk5Ob3qq6qqlJ2d3ef9IgAA4Obi+GmaoqIi/fznP9eWLVt0+PBhrVy5Uq2trSosLJR08S2Wxx9/PFRfWFioEydOqKioSIcPH9aWLVu0efNmrVq16tq9CgAAMGw5vmfkkUce0WeffaZnn31Wfr9fmZmZ2r17t+68805Jkt/vD/vMkdTUVO3evVsrV67Uiy++qKSkJG3cuFHz5s27dq9iBHG73Vq3bl2vt6nQG2s1OKzT4LFWg8daDQ7rNDguc6XnbQAAAK4jvpsGAABYRRgBAABWEUYAAIBVhBEAAGAVYeQqlJSUyOVyacWKFaExY4yeeeYZJSUlKTo6WrNmzdJHH30UNi8YDOrJJ5/UuHHjNGbMGP3N3/yNfv/734fVnDp1SgsWLJDH45HH49GCBQt0+vTpsJrW1lbNnTtXY8aM0bhx47Rs2TJ1d3eH1TQ3N2vmzJmKjo7WHXfcoWefffaK3xFwLTzzzDNyuVxhW2JiYug46xSuvb1dP/jBDxQXF6evfe1ruv/++3Xw4MHQcdZLSklJ6fU75XK5tGTJEkms0Z/r6enRv/zLvyg1NVXR0dFKS0vTs88+qwsXLoRqWK+Lzpw5oxUrVujOO+9UdHS0pk2bpgMHDoSOs043iMGQfPDBByYlJcVMmjTJLF++PDS+YcMGExMTY3w+n2lubjaPPPKI8Xq9JhAIhGoKCwvNHXfcYaqrq01jY6N58MEHzeTJk01PT0+o5q//+q9NZmam2bdvn9m3b5/JzMw0Dz30UOh4T0+PyczMNA8++KBpbGw01dXVJikpySxdujRU09XVZRISEsyjjz5qmpubjc/nMzExMaa0tPT6Lo4xZt26dSYjI8P4/f7Q1tnZGTrOOv3JH/7wB3PnnXeaJ554wrz//vumpaXFvPPOO+Z3v/tdqIb1MqazszPs96m6utpIMnv37mWNLvOv//qvJi4uzvzqV78yLS0t5j//8z/NrbfeasrKykI1rNdFf/d3f2fuvfdeU1tba44dO2bWrVtnYmNjze9//3vW6QYijAzBmTNnzN13322qq6vNzJkzQ2HkwoULJjEx0WzYsCFU++WXXxqPx2MqKiqMMcacPn3aREZGmu3bt4dq2tvbzS233GL27NljjDHmN7/5jZFk9u/fH6qpr683ksyRI0eMMcbs3r3b3HLLLaa9vT1U89prrxm32226urqMMca89NJLxuPxmC+//DJUU1JSYpKSksyFCxeu8aqEW7dunZk8eXKfx1incE899ZR54IEH+j3OevVt+fLl5q677jIXLlxgjS4zZ84cs2jRorCx73//++YHP/iBMYbfqUu++OILM2rUKPOrX/0qbHzy5Mlm7dq1rNMNxNs0Q7BkyRLNmTNH3/nOd8LGW1pa1NHRoby8vNCY2+3WzJkztW/fPknSwYMHde7cubCapKQkZWZmhmrq6+vl8Xj0rW99K1QzdepUeTyesJrMzMywLx+aPXu2gsFg6PJ+fX29Zs6cGfZhO7Nnz9Ynn3yi48ePX6PV6N+xY8eUlJSk1NRUPfroo/r4448lsU6Xe/PNN5Wdna2//du/VXx8vKZMmaKXX345dJz16q27u1uVlZVatGiRXC4Xa3SZBx54QP/93/+t3/72t5Kk//3f/9V7772ngoICSfxOXdLT06Pz588rKioqbDw6Olrvvfce63QDEUYc2r59uxobG1VSUtLr2KUvBLz8SwMTEhJCxzo6OjR69GjdfvvtA9bEx8f3+vnx8fFhNZef5/bbb9fo0aMHrLm0f/mXF15r3/rWt7Rt2za9/fbbevnll9XR0aFp06bps88+Y50u8/HHH6u8vFx333233n77bRUWFmrZsmXatm1bWA+s15+88cYbOn36tJ544omw87JGFz311FN67LHHdM899ygyMlJTpkzRihUr9Nhjj4X1cLOvV0xMjHJycvTcc8/pk08+0fnz51VZWan3339ffr+fdbqBHH8c/M2sra1Ny5cvV1VVVa8k/edcLlfYvjGm19jlLq/pq/5a1Jj/f6PTlfq5Wvn5+aH/vu+++5STk6O77rpLv/jFLzR16tR+e7vZ1kmSLly4oOzsbP3bv/2bJGnKlCn66KOPVF5eHvY9T6zXn2zevFn5+fm9vpacNbpox44dqqys1KuvvqqMjAwdOnRIK1asUFJSkhYuXDhgjzfbev37v/+7Fi1apDvuuEOjRo3SX/zFX+jv//7v1djYOGBvN9s6XW9cGXHg4MGD6uzsVFZWliIiIhQREaHa2lpt3LhRERER/SbUzs7O0LHExER1d3fr1KlTA9Z8+umnvc7/f//3f2E1l5/n1KlTOnfu3IA1nZ2dknon/ettzJgxuu+++3Ts2LHQUzWs00Ver1f33ntv2NjEiRND3/HEeoU7ceKE3nnnHS1evDg0xhqF++d//mc9/fTTevTRR3XfffdpwYIFWrlyZeiKLuv1J3fddZdqa2v1+eefq62tTR988IHOnTun1NRU1ukGIow4kJubq+bmZh06dCi0ZWdna/78+Tp06JDS0tKUmJio6urq0Jzu7m7V1tZq2rRpkqSsrCxFRkaG1fj9fv36178O1eTk5Kirq0sffPBBqOb9999XV1dXWM2vf/1r+f3+UE1VVZXcbreysrJCNXV1dWGPhlVVVSkpKUkpKSnXfoEGEAwGdfjwYXm93tAfOet00V/91V/p6NGjYWO//e1vQ18+yXqFe+WVVxQfH685c+aExlijcF988YVuuSX8f++jRo0KPdrLevU2ZswYeb1enTp1Sm+//bYefvhh1ulGuhF3yY5kf/40jTEXHwPzeDxm586dprm52Tz22GN9PgY2fvx4884775jGxkbz7W9/u8/HwCZNmmTq6+tNfX29ue+++/p8DCw3N9c0Njaad955x4wfPz7sMbDTp0+bhIQE89hjj5nm5mazc+dOExsbe0MeA/unf/onU1NTYz7++GOzf/9+89BDD5mYmBhz/Phx1ukyH3zwgYmIiDDPP/+8OXbsmPmP//gP87Wvfc1UVlaGalivi86fP28mTJhgnnrqqV7HWKM/WbhwobnjjjtCj/bu3LnTjBs3zqxevTpUw3pdtGfPHvPWW2+Zjz/+2FRVVZnJkyebv/zLvzTd3d2s0w1EGLlKl4eRCxcumHXr1pnExETjdrvNjBkzTHNzc9icP/7xj2bp0qVm7NixJjo62jz00EOmtbU1rOazzz4z8+fPNzExMSYmJsbMnz/fnDp1KqzmxIkTZs6cOSY6OtqMHTvWLF26NOyRL2OM+fDDD8306dON2+02iYmJ5plnnrkhj4BdehY/MjLSJCUlme9///vmo48+Ch1nncL98pe/NJmZmcbtdpt77rnHbNq0Kew463XR22+/bSSZo0eP9jrGGv1JIBAwy5cvNxMmTDBRUVEmLS3NrF271gSDwVAN63XRjh07TFpamhk9erRJTEw0S5YsMadPnw4dZ51uDJcxI+Gj2wAAwHDFPSMAAMAqwggAALCKMAIAAKwijAAAAKsIIwAAwCrCCAAAsIowAgAArCKMAAAAqwgjAADAKsIIAACwijACAACsIowAAACr/h9GX9ZxG4BheQAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "badDiscoList = list(set(badDiscoList).difference(set(relinkedList)) )\n",
    "print(\"we have\",len(badDiscoList),\"remaining discontiguous HDs.  Here are their pops\")\n",
    "plt.hist([HDvPop[t] for t in badDiscoList])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "id": "d1dd8155-c5a4-4a73-a818-dbe652f3e1f8",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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Ip62Nde8tYN3f/0ZIeDio0E83gl7KYO5Mu4RvlAr+pJ/KxMgWVGch6eoBVmqyqAyLodIUyQi/DqNVR4vhIOMPXUb/MgWLMxZPghu7xor/cCO9y0tZNenXOI3wacw77A+J5Kaay8iMGIiBIQC0+t3s9RWyrV8Bc2e/gtEsa9+InuNctrqeDgks5wm/ovL62iP86cuDxISZeOEnQ7g8J7FTu1AsWj9flA8jspcHvc0PtfCuPYfrtToMunoc4X+nyupkb30M+voQUpphZvV6zPb7KYrZwapeu1mpFjD+yAXEqscHWxrdGjzFTZh6hZ/0uYemRrDgtpGsO1TDE5/u48qXv+G2cen86qJsQoynbjU6PgXUi1ZrPKtzVxSFytpaVhw8QmFpGb7aaoyNdWj8fgCio6NJTk5m2LBhpKamEhMTg1arRVG8lJS8Qd7Wt/H4agi9TIv6xvs0vreQwvF384wxlrkuF0MjxqPRaNi3L4asIW8yOW0tXx+eyLJQLb7eM1ENWha4FQzVTixON68c/IBdpWZiWnaSeex9lDY/rdY+VCWNoTV1IEa1FY3fg1FfyaSHLiC996VoNBoUxYVr5x7e/uX/8fSSA4xLNHDPaDP9U6OJTs1gd3EV2+f/LyU+hf7TrmLcuBHojSaaqivZt241n7/8HM6GekbOnIXrYAN17+1D9SmY0u3oI8worV5i1lUypZ+R/6Oeq2dm4jzUyOd7KqlqcqHRgN+iIzzDxR+zXkdt01HccIzCI38kMmIcAwY8j94QTv3YKLaGGGk7VEZYWwMqsCOmmdnRaaTujWK+ZhdPDdSzbNBIIAEATYObl/yXkO6o5KjJTrY7FG3EYPqXKfTfu4CVg/JpjOnL5Prb+aau5Pj7gmhMoavYlrKVak8CFeGHaApJ5oKP6pmwfz9fj38OyOSXc27CaJKwInoWRVGCKrDILKHzQHFtCw//I58dpY3cNbEXD03N6pIZNh/+8yNe3OnFFe0hMsLIsOIDbIyKpeRYPD7F0P44Vaehj66MaYe+wqC0Es/F1Kd9RdzBLL4e1Ua8OwoAu8/CADWZXjOzSR7UD5PZ3P6Px1vdSsuWSjylzShtXrQhBoxpYVhHxKONCmHBhmKeWb6fxPAQnrs2h9zWDVDwD6jaCz432BJRMyZSnh5Lef0XOJ17UBQPer0No3UMJvvN2EP7Y8GNo6mR0tJSdDodRqMRu92OVqulsa6B6pIKqupqqG6qw+8/vrZHa4gVd7iNepud/SFRNIVFMG9AL66Jj/zea7Z79wNU1ywnMfEnxERPxWSKpfXAHhqWfMCaoz6eTLydIS17GWwsYIA+kbAmD9V4cfcupTIsjG2OARxtTaHNZ0Snb2Fg5AHu3/AZEfvdrB/7DJGRjRw2lWD2uxmRmcnWPftoNJqY9PXXeAwhbBg/DktoLX16H8YcXs7RthY8ZWb+sed+DFo312sXodMreFv0+NsiSOiVTfnB/bwaex2teuv3xpe89cv7qC0p5ud/+Qc1z+7EmBpG5PV90Vm/+/0rHj81nxTySm0Di7It1Pwr1KGqWNVmLgst5bFBk4mwJPxrs5/a2q/Zs/cXhIb25WNXPz46/BFTU6cyMXkiUSFRNLobWV+2nuXFy7kj/ynG5qaT3LuEnXV/Z5dZxak3Eao2M0DbzKF1g3ivbihVIWFMaoUhbj1T1z7Mzy+9nLqBnzKuNoari6YRtu0zipMuozFqINaQt1kWexizy8Xo/Spj95lZN+IitKZpjL2wltyfXNd5/5CECBIbNmxg9erVPPLII136PDJLSACw9mAN9763nUirkQ//awzD07//odlZGhvqmKVtxqG20VzWilZj5GDfYfj66tE4vehdXpIaHUzZc4io2jwUpY09A6/m4vf+D+1OBVPuaErcOgrNR4h0R9Kka2Gjup8Nnx2Ez5Zh8CkYNQZs+lAivTashhDs8RGExYVh9vrQb23Csf4YkVf14fZx6YzpE8Yj/9xN9V+uB+0Wjpr7sdnXlwaPnoymGmyWBdS2WjBphoLxZxwq17OvzI3i9hGq+ZoQzYqTnq9O1WJXLUSooRSkZ9EWYuFq43ukRm4+fr9Pwe0N4R8tt/H45mZiBvdmfGoyWu3xGVdtbSVUVX9Cv35Pk5gwq/24ocP6EjvsamIbtuD6cB5/KZ5FvtIfAE24QoqmhvCm3tRGqFRnm+jf7GGkrxVrfQFmQzMRu32UTxhCq62BttJSjO6t+FUfX7s9qBot4eXl2OwDMB1eS1pjM/8cmcEnFRVcschKTOtUfFG7CU110qYLIXVkBSbdv7p9lEoOf1aHz2dDwwm+5/zr+4+v3o3q8mG7MKVDWAHQGnVETU7jjqequMdgofUn/aj3+GiqfBdN1V+4YOQmNJrvZqVpNDpiYqYRGprFodrtfFS5j0dHP8p1fTuGhCt6X8HoxNFs3H+Y7VsUePlFUlsr6JPZG02oD09JOZX+NPQDLuYPwyLwj47n66+K0B1oY8fAO3n0m+Wsco1kR3YZv839kFxrby7P24aiNVOv/S8mF7UR0laDGqJjw7g49FoNoyZqGHL9taf4lyFE93S8Ffj7C30GigSWHuytDcX8v0/2MiEzmvk35GIzG06904/Q5nJRr3EQr/WRnFhAaelA/rTnSZxrPVSHWdC63GhVBa9eoTrGjcs2iL29YtCqCn5bDJv7mii07EfnM2Bw+dBWlVIUkkauMQVjqJNKXQPNqgGj38deXfnx5sqK//jgNAKfrkT9VEWDhlyNmyptMr/xjwGnBqPGj6rRUEEGHBj5bzs24FQNmE1WklLjsXk2E+ouxmTsT8ExFU+NgVlZUcQZjZQ0J2L2WInIimP1hiMU+zeydvLNPOh7BuqqOfZNLuN9BRzVZLCTHFJoIYU1fL1jDZssFoYPH86ECRP49mLpquLjh6iql9sb13BLagkLBv4v7+z6imZPCzXGOuosVaBVeWD/ZC5rHE/6E5fgdDrZu3cvntgSog7WEj3hINWuXZjMw/FaeqOYDhNZP4AZ9mg+GqAQHeVgzBefMOwrDW1WMy1mK41h3xB3ZT1XN63i2d138uiqZ7nAoCVL14iSfJS96ceIqarmhvJ/MmzGFZTu2YXBZKaxupJ961ZRW3qUC2b/lJBEO1qbkcbPjhB5Xd8O03z9TW4alx4GIOKy3sSGmEgPMVHlTmH3sToqKhaRkDCrQ1O0211DW1sJ7n/9uuOt31+fBSAmJIYaw3P0b7qHzbm/Ii4tjIikMBSfQnWxg8bqNmLrdpKxbA2971jMxYMSKNxezddva9kblUNKSxPpW9y4TeEoOiOOqAJGRBZivGIk5ZVmWtrsGEJNRKZGkzE0sX2KuBA9UbAFFukS6qH+vPowzyw/wE/HZ/DIJf1OumpoZ/nfJ54kXJtEq6sEU1g1bpeVvLGp6HfpefyNF2iN0tEw1EihMZbDnip6l7cxfq9KtV3HB1dmcEOLBwUNe8nmiD+VKCWVwYZmKpRyqvCx09OLQYajHA0tocxaTou5josaR5HkSUDr11GqKcXrLyPCY8JvjKRNjSJcbSJMcVDebEWr+EFvIyoyHktEBabozVjzIFVTy13GR+gVWcPF8R8y/ICOosaplLZGkHh0CxnHtqFXFBxWLSZ7GtEj59K66UU2JUyhTvkKVevh1dsfJqS4lieOvsbFui28xC00Eo5T0YDiYZjhACPUgxRHXMWRxmhiE+O4fM417Nz3MA0NnwHj0OuHER3Vm5iYEJqaNlF27O+M21SDYdBsNJf+H26fhy3lO6lqK0Ov05BqSaDvK7+gwfskoeOTsE1NRWvW07Z7D6V33smKRDtJXguDTL1o6RfPEhyk1aukxE3l895ruPPAIjYaetPHsY/yinRaGkxoxzZQOzKOT5wPsV+vQ1/YjLbGhcZ3/M+EVedmZOQmLiGM8p35+Nzu9t9/dGo6o666juyxEwHwlDVT9+4+/I1u9DEh6MKMKK0+vFUtaMx6Iq/LIqRfVPv+qqqwf/9vKK/4BxZLb8Ltw9DqQnC1lVLf8A06nZWcnDd4cM0T7G88zO3aKC7QWImypdKQMoz1OoU3d/+FW9bpmLhHj/Lku5Turae53oVWpyEiwUqfYbF4/uenePbvp++unWiNx8csed1+SvbWUb3nGK7yaky0kZRqInHiYAyJiV3+b0eIYLR161Y++eQTHnvssS59ntP9/JbA0gO9ue4If/h0Hw9MyeShaVnn5Dmr3V4e+OvbmP0KI/zZhNXs5qiuhpxBn7DYcwllrkxmfr2S4fsKsLc4UTQaqiIs7E43UJpj5THXbjYylPWMxKK00GYoxbZvN8m9h3NAl8xF/r2gLeO38eFUhFQyoWE4caqW5eHb8eg9XG3xMTzMh86goqpQdHgovh1RJNSV4Qxx0xxmBdOVHDAm0qAv5V7tiyTFVxBX6+JA71Cu2f9HMkK+4ff1TXxTOxCfaxPJTQ5yiipYPEZD/qBYrLoYQlULv668A1fBB3wZ24/W1s8pzbXSYh9AeUkkn5p+wxMxv8Zb4yE/fgA70pPxtmq4dmsDdysqYRxf1t2Nl3WGfRTrqkhKPkBy0gGMpub211OrtZOSciO9ynxoV83j69DL+XPTaPZ74zDi4+LwMu4zLiOhZT/OoZ/RtMENGjDEW9EadXiO1fD53lfQ+9yMbmrDEGLmyIABbLCEUBaTwmO1T/Fx9AimhK4ipcRPlcbPXfGx9A27mX/EXkpGTRFpFetx+xuoM3pxa4ZSnTSMkBA/z297iOyKsXjKKmjRgC4xgehJk4m78io0uo5jo1SvQtu+OjzFDvwtXrRmHcbkMEIGRaM9wcq69Q0bqaxcitO5H0VxYTLFExkxhsSEazF8NY+WvDf4U2w8SyxG3P/WNWVQ4bKMGdzjGE3DL39D3KO/JeKGG9Bov+te8pSUUHTNLJTmZrL37P5evUKI72zfvp1ly5bxu9/9rksH30pgOU8t313B3e9u5+4LevPri/uesxHejV4fg1dt57rdK/gmOZeMRgdZlYWM0lpRkj+ltspJYV0GTV475rY2tN4KQtRGetWamdH3KK1WM39Rr8MYeozqtkZu+2AfyyZlsnpQFX+qUMlSjvKnkFt4L2E5zxTfxuqov/NFmIsbHM1MiIeIVh/qMR11ipGyskFkbC9F38+B4yJwxPp5r6Uvux1m0oubSa7ojTsihWo1guYQA6GWag55VO50VGKuSMDtzcOU3p+MLZ/TYvKyY9wkBrep9Pa5SVLSoFZFE3Mhjd5KDjftpDzayEp9LBbqeUf/NL9LuR9NqY49KSmEGMu5tVklq2QS+znGOMMbHO53LcsO1IBOw3hdfzKUOBIfGI7XUMeRisOs2HqIo8UN/OKWOWw46uLA0qd4wLgMm9rc4TXfp6axIPxeHr/vDvQtXloLavFVtaJ6FXR2I3W6Sj5591nMYTb6jplAZGISdfVN7DtcwQj3ImKijpJW10SlbzrXJDbgMXvwxD9Dpm4PP9M8SfPhUOrLbCheLVq7B30ShL8XTlZpMSFDh2LKygQVXPv34dq5i5DcXFJefw1dWNj33h/V1dVs2bKFo0eP4nQ6MZlMJCQkkJubS2Zm5um9T7e/A8vugxl/hOG306p4ONBwgEZXI7b6o2QvfRBrVBbqvZup+sMTNPz97+gTEggZPBit2YynrJS27TswxMeT8sbrmHr37qy3vxA90o4dO1i6dCmPPvooui4M9zLo9jxUVNvCLz/cxSWD4s9pWAEIN+iZUdrKO7mXMbUqnxSHE5dWy/0jR+HRjiEj6gv6elcTou6mweVj/LJpGK2xhGeWEGLZj1M1cyQxjlUZl7HoV7dT0MfG4mG1DHPVMoha1vt/hUHXypRdGtKtL/GpzcJg12DifS2M2LuGFq+BTyqzqG00M66wmPLrrFhHN7D9WDJvHUjC440gtiqKOlcae+zxxChuErQeMqxHONAYhc+bzHv6NsZF7UIfM454tYnSaC9jDvi5vGYhxrAkfPpENLqttLRVUb/tMLr+1zM0ahr98LBbs4/l3kEUGhL5TdlLvBVyJZoyPwlRh+h17E4OavcSZ3iD902DKTtcjaJRuHTGpQztN5iKP2xm5bsFvDk2nG8abCgxwyAG/lFQgmVtDZMG3EHotX+Cyp3QVApaA8T2w+OIpGj+Vl76n3VYXSqKX8UabiK1fyS5Q+PoHd+LOTkvkvfxRxzcuJ7muhq0Oj3RKWkQbie9romChGhMxXfhMP0v7rYxuA1G7NUDMLmnY077Glu2EwC/CtYFEWgb6vj5/zzBV7de3eH337p9O0dvvInSO+4k/YOFHe7bvXs3H330EaGhoWRlZWG323G5XBQVFfHee+8xdOhQLr/88lO/X0s2QfwgGHUXABadntzY3OP3pQLL/htqD6DRaIh/9LfYZ15B08ef4D54EJ/bjT4+nvjf/Q77FZejDZEpyEKcyrcTBBRF6dLAcroksPQQfkXl/vd3EB1m4ulrcs753PkmdxOhFYU87Ezm72lpNERVMqDcyeAGLRfXbWGYcx8mTzn5Bi11+8bgiWwDbTp7WsbQL3QVkbp61vQexsSW1YS6FN6ZdgF+dTm9i9JwmxrI8Nvw5+0m75L/IqnkESzuOEYVxTPH/CYvKldwrFJPmMuJ0ZbKyosH0jejgA9WPMpmfzTDPQay3H6qTM18Yg7ll1o/Cc3fEL1vO5GVtawfNJS/TrqK6iMWPrWMwT06EYPi4grLEoa3DKZUvZSjKWvRJG6jb2UFsYqG3WUe4r74b+qMRnZmJdAnJIohcXBl2+PM1b/Pjcqn5GmGkFczGL+qwa+1sYjL8Hs1WIxGvF4Pa9asIcxnYneUjgf76siqaeV3mhAsNLGuYDOhA3NZ4vFyuGQnS97dSkirE2OIhfjemaTFx7H7nX2Mc+kpC1WYPSsLvUFLY3Urh7ZWcTCvisvuzSE5O4npd/0c+O66IBqNBhpKUF8YhNHk4tD4X5BZHs+hkLV4SofwWUYONTW3cu2BOSS7W3AbfOy12MiqepLy7Dj+et2l3/v9W4YOBaBt584O271eLx9//DH9+/fnyiuvRK//7k+Oqqps376djz/+mNjYWEaPHn3yN1nqaMh/Fza/BsN/Crp/+/NV/A0oPojJbt8UkpNDSE7OGb2PhRDf+TakBMvAWwksPcQHeaUUHGvio3vGti9zfi5ZDBa+TvqC6UVX8k5pJJ+Yy/HpvczYu5cEn5YaXRblxlycJUdoi4/H6symSevjjeENvJn4Mr/a8zdcuhDSwwqpSgnjQMZMfrJ0NzRrWJeUwBDPZl6eMJEj3hj0fiM/2f1zUmzvs0eTzj+zpnHFgX+gD70aR2IJkXWRfLFhGpvMPm5z6NH7qklQ93EkfBwWfQ1FTc8w+UuFwngNz986nQ3DbiWxqgCIRONT+UXTk+hKLiS39C52DUpgZ9JGvL4wlP0XMbjtKPdoPidsei3VRVHEflPLuKpimnUlZDl2sT0tgr/EXsCL3ssZ6i8ho7qEHYmHGd3WDysW9kU4yUqNo7ahlt0VB1my/GOWDZ5Ar+ZW7jlQRHVbDYU0MdGQxNT4WOJq/4K+qIZ8s420+DjwtJG/4lM0OjMa83SWJqTx/i8nkGD/rsVg5GUZ/OW/17H0+XzueeW7VWc7hNiIVDQj76LvltcJc4Tw6+gDvKxYyPf/EV/1KHbbZ5KXmwIcP64WlccqRzPxow8IXfQhyrWz0JqPXzJBaWmh4f33AYh58MEO74u2tjbcbjfZ2dkdwsq39QwYMICPP/6Y/Pz8UweWITdB5S74/Few5mmIzwGdEeoOQ30hJI+AGxae/BhCiNP2bQuL/9u1kgJMAksP4HB5eXbFAa4emsTQAF25WOts45HdeTw8YQZbjr7NZSVDqQ/zUuh14PEkoFNjwLcOvTmBppAwLI1xLB1TRWNKL1J37eax6psYtH8Pf+9zK8rP/07vkv1ENWnZNbaM9+waXl25i4N9bsK1pY13vXMweuLYRQqXquu5ZNcuAMIyF+NongDKQIo4xqVtJvSqFk3D+2SmzOYvti9pdkzFUDqVRtNairOeJr+/HYurDHfDJuASBkXsxf/NBFwtmfy/MDdHFA26sgvQKCp+dHypGY/fn8VdIW8QkuKk+RotO0JNVBm1GFRIVGBYrY2kqu1EN1Tg15vYG1tOY4iOAZpkLqqNhFrIIIlsItltLqNV68Ogeigz1xGflsCEhIlEfONh6TO/JzY2jBf7zaGuPhSNXwUTWJOdzKr+BptzKX+85pkOYQVAb9ShM2jxeU/xrejipyE6i8RNfybx4BFG08BBg4FvbGuo1FbTZr8AW1g2o+KHkRseg3X8QCq1PqqeeILqZ5/FmJqKqip4j5ag+v1E3nYbUXfd2eEpwsLCSE1N5fPPP0dVVfr27YvRaERRFMrKylixYgUGg4Ebb7zxNN5kWrjkjzD0Fti7BGr2g98HfaZAn3nQZ9rxxwghOkWPamGZN28ejzzyCA888ADPP/88AB999BGvvfYa27Zto66ujh07djBkyJCTHmfBggXcdttt39ve1taG2Wz+gT3Ev1u0rQxHm5dfXZR96gd3EaW5mZw1Rj6KfJI/Ga+i2lyF2WfAoznC1rjdeNVWPGob0x1Z7EpJxN7gYW9yJpNalrOhcjAX1q7iv75eyQMP/4K/xt7BEN8WFK0OTcZVXLt7A5v0bgZ49/KNYQBv+aZwA3BEHcKXykEy29JotjST0H8ztZuOty4luhuJVKMIdbVQb9DgdVdTmvgVaU4TH2RN4cO+U4hQfCg7mtC0Qov/ElIjC7gheyG1nz7Fe/Y2/BoVDTpCdB6yNC7sBi+lHhsvaIfxt9ZMRoS/xvbUBjw6MPiMjCm8kBEVA5lutBBXX0No5CSIzeaIbj0prlDMHjMHNA7C+8WSnhQNq8u46tc38+mbf2X5gFGsnnAJtyRFo7eaOVi5A+fOBjbnXkldSh8+HNQLrcNLpcNFiEFHdOsYvnrmHja/OJ/EX88jLsOGVq+lqbqV/Rsr8bT5GHpx2sm7BrVaGHnn8VtzFbRUk2UMJSs87QQf/DoSHnuMqNtuw7lmDZ6jJaDVYvzJDYRNuhBDUtL39tBoNFx//fUsWbKERYsWodFosFgsuN1ufD4fUVFRzJkz58wGyscPPH4TQnSpHtPCkpeXx+uvv07Of/QRt7S0MG7cOK699lruvPPOE+z9fTabjQMHDnTYJmHl1FRV5e+bS7hoQDzx9sC9XrqYGPxuM+W7Lud/Yj5lPZdSbddSGr6RUpuVhJYUWrESiYUms4HPR2sw4+aY5/iHXLK+geohTuY2/43tDU6+DstGNWpJX3aQr4ZP5PrG5eQU7+JYVhRHt0ZzwKwwpC6DJ2PuZaLOyZDQq9BZvqZP+F6qarIY7Asn+dgqKvvcgL4hnAJnPmGKhaz4cu77bAmHdEYOJ+ZSFBLLwYwoYoytxDn20eJLo06np0l7/B/oTI2XB31x6DU+/N5mfD4jDToLdyWsYGNUI7nVSeT4DNTU5eKNiKeuVxs5H79G2PhHUQwh5NGIriGHg24bh/EDIZDXzIEdTiaG6ln54jLSWyp5YOdqnK1trNPp+Sg0nIOxSVxqttC34Bt+OXkcIyLD4F+LFPu8Xta//xYAlogJLPnTjg6/C71Jx/BL0hl+acbp/wLD4o7fToMxLY3IOXNO+9BWq5WbbrqJ2tpaiouLaWlpwWg0kpiYSEpKSvsfRSFEcOkRLSxOp5ObbrqJN954gz/84Q8d7ps9ezYAxcXFZ3RMjUZDfPwPr14pTmxPuYPD1U5+d3n/gNbhr63FjZla99c0HptIQ1IdWm0Sow7dTkbsKo722UWt3scSk4crj/2Ep4fFMr52JetjpmKPLWGJdhoPRizhYUXDHmMIE4/YyGiLpt5TyAV79jDuQD2/zr6C63xraHVn8pekUczesZPbnTHsSU3C4NMSWjkK/5D1JFTOwNkWToK7CkfzDlyWi2lwf8W43TF8OWgnJVfYuPtrC1dsWI/O72fV0NG8c8lVrBvwEOuAWTFNaFxudBq4Twlla0g+at9l1KwFjU5lRDR4DXG0lc2mMUzDa5E5tA0Jp3fLEnKXLMF1zZVUNVSwX/c5Tue1hHsjqUgo50CIhr3OCIa4mxjmd7PGH8LhloNYNWZ6aWIJi7ZS39pKaX0lvWvzSBs1DUfeV2z49b2U9BtAaGQ0Lmcz1Qd2EquWcf20AST1rcbh11ClG4pPYyM0wkR8bzvGE6xxoqoqjto2HLUuNFoNEXEWrOHnZrXW6OhooqOjz8lzCSF+vB7RwnLvvfdy6aWXMnXq1O8FlrPldDpJS0vD7/czZMgQfv/735Obm3vCx7vdbtz/tsqmw+HolDq6m81F9Rj1WkZmdN01gk6HPj4eNcbFyhF9qQjdwKiKyZiVFkJ6l2OquZrRR+oICa2k3n6Inba/cfu+aykpauKXI//EJ9lTuXX7VjY7bUQdTeGOMj05ZfvYlnsrf7/kCq498iYancKYksWUGy8i2d/K4kYjS5NaGPPxGwy030xs2Bi0e2/FoWgwZ68jufBKGrPGkr3zI/Zl/xcDipqorbWRUJvJ1t5VPDepBv9kLf1KoHflFmblG7hu7K9otBjRZCfB2wf4pKGJe/FCnQHrposZW7+Gr2In80dXH9RyLWh87HLrubl8A2P3HOOwtYrUkV5cK/eyIymTz0b+kqs3t/KPCaEUxUbj0x//x7+p0oZ7bzW5hn1YW2O4KGYEcWYjqsuP1m7EOHgc+w3lfL7yC6b/9D4M9dWU7d9DXelRsk0HuTRlM3rFDTWlUPsFdlcTdr0Zxj8E/X51wnEcR3bUsGlpIQ2VrR22x/eyMW5WJvG97F3+PhFCdB/fdikHy3JtZxxYFi5cyPbt28nLy+u0IrKzs1mwYAGDBg3C4XDwwgsvMG7cOHbu3ElmZuYP7jNv3jwef/zxTquhu8orqmdISjgmfWDnyNd4/ay7qzd3vX2YJ6eHURxXQlJLGv+0NDA57hmaw/Xs16ZSQTomxYZXV0U/537MK7N5MCSGBFXDusoBhBiTSKs4zOGMy/jbxX1w25vJLCrktdHXcNPWT1gR66Ey3EhN66f8InQhDYO8GMudaNPbUCuWk+27HZ++EUXbSmjsWBZdH8oBfzEbs2cxducWJuzeziVbagFoM4VS2i8Wxgyhr2MFKe+MIEVVAA0vxQ/kGtcE7m4bi8eaik4DRSmJNOhsKJEmjEktuKIt9Gkwcqh6Mv4D/2CYrgbHigns73Mdr14cxeCqI0AM969dREpjKdtirmJvWhhfDbKyJ7sOTW0+3jADR1IPMixrENPSppFqSwVgUGsMn6/8gv0HD3H77bcz4oprYNeH8NGbx6f0jv05RP6ry8dRDnlvwup5YLQev+8/HMyr5Mu/7CVtUBRjr+5DRIIVVVGpKWkm/6sSFj+3nav/exhxGefvootCiI6CLbCc0Uq3paWlDB8+nBUrVjB48GAALrzwQoYMGdI+6PZbxcXFZGRknNag2/+kKApDhw5l4sSJzJ8//wcf80MtLCkpKefdSreXvbiOwcnhPHHVoIDWUeH2cNk3y3na8z9o92r5om44GmMMa+Lz8Br1JPkUpjhbuaTZi8evoPX/F7VNGylsTiYjfBobaxdRYElgs70/yz6ey9IpT/D8rF7crz5L3oeDSNI3kGYCkzYFVevgZ6ZnOaL2oshzM7HNEcRakvG7HXirt2GyeNnZexC/y+1HeYgWi88PagttuhBUrQF70yGGli/nmvHTubp0C9q8N1mtDuXCy2fTZoxi35EizEdXk92wml3KON7xPYDHZmSH10txvzB8UWaifHUYGtajbd2GqpajURUMvlA0LZnEOjL5XxYxXD3Iesdt7Gy9glTjNtKMWylWU3k26xAN5kJCvBbC/GGER9kpdZfi9rv56YCfckXUFXz55ZfU1tby85//nNDQ0OMv8ns/AY8Tbv3kh38Jj/2rheSxpu/d9Y8n87CGm7jkZ4O+NxDX71N49b7VANz76uTOeksIIbq50tJS/vKXv/Czn/2MuLjTG+N2Nrpkpdtt27ZRXV3NsGHD2rf5/X7Wrl3LSy+9hNvt7pTV8LRaLSNGjODQoUMnfIzJZMJkkiulNrR4ibQaA10GCSYjfdraeET/HM/EL6RPiEJpg5b6ljFoWhrRuStpK9FTqF7IgPAJlCa8zQAlHrt5Gm+3efkk4UIsvuPXGKoMCyW1fBcWdxobmEj/yHKsBhPZlsO0sReDw4NR4+MOay7V2iIUeyNDGtuYrDWzO3kkhQYDB7Ra7Lsb+Llbx82KEa3Tg7thP4dDnSyL1eFMGUumOZSKHX/jSJ9fcOvuofyRHH7/0V4crkzSowZztXUQ/1XxZ7Jqwqj1ZzIyLZYGtT/XF7exRTuPUrWGmNZ4ol0pHFBiaTK4Mdp3Um/fRF21lofa7mW1YRDplhYm+pIpbR7Ciqx3aNNVMqbkXmYNvYCq+m0U7j7MAO0AiqKKeGP3G2yp28Jo42jmzJnzXVgBCE+Fgg+h5gDE9O34C2gqO+nvR2/U4m71ovhVdPqOgcXnCY7+aSFEcPl2DEuwtLCcUWCZMmUKBQUFHbbddtttZGdn8+tf/7rTlu5VVZX8/HwGDQpsq0F30OLxEWIM/JLJ9V4flYqe6459zs8Tb+PiqiNEeKr5udfGW7ZRVDR5CRv/DgcMW1jSMJiflk9ntbaZwxSxxBpL3/oy4pWjfBU9mW/6Xc1F+z5jzhep7O+rp7+ujJ8o62hqtLK6aQz4PJCwkfll+6k4aMZeU8szuTfxTHQyoWolGosfnzWTsJZG3nTqsVR+w4yCL1FbW0kD7gNcBj0lcVo+uzqOsPD3+d9xS6kvsXP/8N5cOOQmkt3JVP5yB0f2xjKRnfg0Bei3K/x0iYb1veKov7yZ6Q3XYWvREeEr5hv1Mq4tXciVVht3j3fziwSoSb2O2KoaduW72GG0MSpDpSp8F7ObGkm4dgzTs/sB/aipqeHo0aO0tLRwX/F97Izayduz3/7+7JmJv4Qjq+GVcZB1ESQMBo0GqvfB/s/AlgS3fvqDv5+Rl2Xw8Ys7+ceTefQbm0BkghXlX11Ce9eXY7LqmfWr4V38LhFCdCfB1iV0RoElLCyMgQM7rn9gtVqJiopq315fX09JSQnl5eUA7VOV4+Pj22cBzZkzh6SkJObNmwfA448/zujRo8nMzMThcDB//nzy8/N5+eWXf9zZnQfsIQaa2ryBLgMdcMjam9CjLazceD9fGAZTpE8hz+bHUK9loKmR4vKBTB28iGTb/7Kp6mbqaUJvasPri+VybwRO55fsC+3HXxIGsjbMxPija5hgsjJL/yVbfI9gsasMiPTQ6tVxwFtDcslWQorD+P1FF7HL0puwhL8yULMHl64/G/uNpLL+Y+75LJ/pmyv5ImcqR0Y5UGqcJFQohJkcJI6sYYBFi9atoGqdeGgjOtRBSf5KPP8vBJPGS9KlNqy/+5JfLi9m5cb9XGgpYfZn7xK7SMvn4+xYNU5WuWcSEuLnk5lZXPjFRvoejSW82Ujsttcpj4rngJJChSaG7Vk2xpdr+DgshPlhbe2vXUxMDFHRUSw+tBiK4acDf/rDU31DY+Cu1bD1r7D/U9jyOqgKRGTAhP8+vp5KSPgP/n6SsyOZ9evhbPn4CBuXFKL4jv8BMph19Bocw8jLM7BFy/V1hBDf+TawdOtpzSezbNmyDovA/eQnPwHgd7/7HY899hgAJSUlHf4gNzY2ctddd1FZWYndbic3N5e1a9cycuTIzi6vx4m0Gqlt9gS6DOwGPXPq4LEBObxb+iiDjhRhV9qYvNnEhFgXS/stoLItg7wqE7fWx1GrNDHRl0W08Z/8zTuWJZFRTFVGMLPyY/bZxrE3rBd/y8ziOf0yqnyv0IswDjuK2WCowZS0l0hzPQPeD6N8so8tMYnEeYtZcngT+nJw1BzlpTsKeT95DrmHDvDlqLnoQhJJ3/EZfm8dTVH9yBrxJeFpTtoaTLRVh6AoYA734PXVY83XoHH48f9vHLaZi6lTQ9hZ2kiTKYwDV1zBYsdBbv7yG742rKLR3AuzqYg2Zxrj8hT2tvZj1F4VXYiLMKWQ6NoSBvm3YAg18dNDFTQ3l3BP1mCu++pO+kX2I92WjtvvZk/dHqpaq7gm8xruH3r/iV9oowXG3nf8doZiUsO49N7B+H0KLU1utFoNFrsJrfbcXndKCNE9BFsLyxkNug1mpztop6f59T93sbOskeUPTgx0KTR8UsjCklr+lqmj9/4VxDTXc8HqddQl3cugjD8yL0xhwiYbjd7hbMgegclvxm+LpDZST1VCCBoF0qqPMbrgK5JqS1DQcFXqHBSznhUNX9GSYmTgwJUYTa04yyNI+pPC/DuzyXNbcFfNJDbdRe+2On7rc6Jd8Dc29R2BK3IW+F1sTCgloXE3X025lnsP/IGUkRW81XYHKy3TULU6whuPcNPi9wkLdTAsp5Do5w003OLjzYT32FBYi0mv481bhpObYif/vgewrlrJf99tpzSiBZ2qJ77GxLSt0exNbWZXdBY3tOq4mI1kqiWUttr5uKw/0eEGbpw7F1/KML46+hXrj62nsqUSg9ZAr/BeXJx+MTkxcrE+IURwqKqq4pVXXuGnP/0pKSkpXfY8XTLoVgSfkRmRfLC1lMZWD+GWwA6+tU9P59q/t1G9668UUotejWPH0P5c8+n/4a5PYaIay6vZV4FGwaxvozkyAlw+NEfdhB1rIaKvSnXvWN7rexczaj/joYqNmMvjyXcvot4WxqA+61EUPZ/kxdPmSWH1/7sHl74GW9Xj6Hz9qC7OokqbzKVWPQkX/Zq+3kgGewxMyHuM7OQYbr/3N2Qf3kZYRAsaj445ur9zwUYTLyY2U580kX9eeisPHViLJ/MwrSP9RLylZ1ba01yTO5zBWamYlv2dkpUrsR44QNwjj7D4puvYWrmVI01HaPpiO96wYwya+hsSWy3UomWl7b/x9IlkcEIItv/5byqPlaImj8Cg1TEjYwYzMmYE9PclhBDdiQSWbm5snyg0Glixt4rrhnddAj4dWqMOw40pLF74Ndc1XE2IaiHClsqGSxKw5R/kpdxrubbpax4M+ycXjn+bFOcxJu3bgVen4QttDpV7Ing+6udscV/MPYf/SYynnhpdFRnKGPJ1+VjDaqk7MhKbks6yUZcwsKqR//1qL+tUlXcm/RWzJRJr1UDq6EV1vIbejU3Q1Bvty09SvP0wbSFWxmxdjyPZSmTfJrxNofQa+xJPebUs87r4wn4JPssW0IDrznT6XHs/lkWLcH21iOYlTlqjorAMHUr8o7/FMvz4ANVxSeMYlzSOffUpfLbpWabpHQy6cnSHqcNN1ZU464+v/YL0vgghuolg6xKSwNLNJdhDmJgZw983lwQ8sMDxN7YfP+bIUKyWUG6d3AvUbF5cloO+ysed981i+o7tNBvs3N5SinnPQTIuLaK+SKWuJI4Pl92I3wS/MN3Fvrg+zLHt44qiHMb4B1PTsInI9G3Eq4NpM5m5oVzD3kgdbWFT+JlzF0dDj1GTtp/G1r3sSOhHqyud8N1h5C9V0V84BWjFeekcmj9ZQEWeh/ihtSh+UFv0XMRnXKX/EP1QBbNuMKPGvINeb8V++WXt53WyCwlmj51I6d4Cvnz9RbYs/ZCEPn3RG000VVVQtn8PoZFR3PiH59BqAz+jSwghuiMJLD3ATaNSueudbWwtrmd4emCX6A83h3NN5jXs3LiTDG0Gmxp9xBvtJI5JwresheeeWMblKRF8GlrP26EJXJkwieGfFuEx2tkW3w+tTkVn0WBQfGjr/LxYM5ilocd42LAfy67LaBuylPS+f8WqjuTV4Q3c7v6KUeajaPyQu0SLb2sLz9/9MM1RfXl6ZDaJl2vYsuwIh7+sYEQ/E29nJZNw5f8wpKaKzPxNhOh2EG5z4tdr8TKcCwbdTlzS2O+d10mvegxotFqm3/Vz+k+czP5v1lJbUozf6yE0MprJt91N/4mTMJplFo4QovsIthYWGXTbA/gVlZkvr0er0bDknnEBn/XhV/w8985zVFRU8GXCl8e36aLwOH+K92gkOlRiPdVUxybz2y/fYNWAkawL6Y8/MxQSykluWk2Iu5IqUxwuklH3pWPX2tn6s2yqPvsTpaVr2ZZzMS/YZ9FMCH1NLuINoTT6NOx2+zBrtczvl8qMmPD2mhRFxVnvYlVjM0tanOxqaaO6zYPqVpiZGsXdabEMCrME6BUTQojgU1NTw8svv8xtt91GWlpalz2PDLo9j+i0Gn53+QCufXUjC/NKuXFUaoDr0ZEdmY3dbee+3GHssWfx30Uawgxmrhpro/Dv+RzzOIlw1pLeVsXqrOEYGqpJtP4fzTU1qKqOSJ+HaPcB9ptCUHoptNRORvvKHBJNNhIvepRRI+9kjl9hWXUjeY4W6r0++uh1XBtm4cq4CCINHd/aWq0GW3QIM6NDmEksm47U8ZPXN/HMrByuGxj4rjQhhAg2wdbCIoGlhxiRHsl1w5P5f5/sYWhaONnxwdHK1MsSx189CYRoqvh6ZDYRBj0fraih5sgWWg58QXFyKv4IE1ZlKW1tDm422+irbUbFjv1gKCuK+vPRAA2mmK9YNPIhZo3+5fEL/AGheh03JkZxY2LUGdVU63TzwMIdjEyPZNbQ5K44bSGEEJ1MAksP8vgVA9lV1sQ9725nyX3jsJkNgS4JAI+iYtSA6V+LBY6e2ZulL0whND4RY806Qq1eDO7DtNSO52/VE0l212Fxt1FuiaY21o7GY8DESh4vWsSsiY/9qFq8foX739+BX4EXb8wNePeZEEIEq2BrYfmB9b9FdxVi1PHnm4ZS63Rz29/yaHH7Al0SALclRVOraLlk637er6ijKcHEmIcHY+o7hrqYu5j9dSUY0tDH78TXy0lpYiIFfbKpzEwkelQMD19aD8Adg+74UXX4FZWHPsgnr7ie+TcMIc5m7ozTE0KIHulUkw3ONWlh6WF6xYTy9k9HcfObm7l9QR5/u20EFmNgf839QkP4ZFAyjx0q4aH9pd/d0V9D5rA4fpkwiBsso7l77b1UKX8kIrYvkZZk7DqFCsd+Xt9RwdWZV/Pz3J+fdQ1+ReWX/9zJ57srefnGoYztHd0JZyaEED1fsLSwSGDpgYakhLPgthHc8tctXPvqRt6YM5zE8MBOqR0QFcOH9fnUp0+isNWNV1FJCTGSbDL8K8VH89mVH/FF8Rd8U/4NFc4KDBiYnDqZi9MvZkjskLN+bofLy8/f28H6w7X86fohXDwwvtPOSwgheqpg6xKSwNJDDU+P5J8/G8sdb23lipe+4bXZQxmWFtg1WgAiDXoi7T/8tjPqjFze+3Iu7315pz1fUW0Ld769lSqHiwW3jWBCZkynHVsIIcS5I2NYerB+CTaW3jeO9CgL1722iWe/OIDHF+DLhJ+jpK4oKu9sLOaSF9bhV1SW3DtOwooQQpyBYGthkcDSw0WHmlh412genJLJq2sKmfnyN+woaQhMMeGp0FjS5U9zpMbJnL9u4dGle7hmWBKf/Hw8vWNCu/x5hRBCdB0JLOcBvU7Lz6dksuTecQBc9ecN3P/+DsoaWs9tIVGZUHuoyw7f0OLhsWV7mP6ntRTVtvD27SP5w5WDsJqk51MIIbo7+Ut+HhmYZOeTn4/nn9tKeXbFQSb/3xquH57CHRMySIuydn0BWi3Q+U2LNc1u3tpQzNsbi1FUeHh6FrePy8BskAsNCiHE2Qq2LiEJLOcZnVbD9SNSuSwnkb+uL2LBhmL+vvkoFw+M55Yx6YzMiOzaufed+MbfW+7gnU1HWbS9DL1Ww09GpHLPpN5Eh5o67TmEEEIEBwks5ymrSc/Pp2Ry58ReLNpexpvrirj+9U2kRIZwdW4yV+UmkR7dBa0uehN428BwdtOsqx0ulu0s55/bythf2UxMmIkHpmRy86g07JbgWNlXCCF6AmlhEUHFbNBx06g0bhiRSl5xPR9tP8Zf1hfxwspD9I6xMjk7lknZsQxPi8So74QhTwk5UFkAKSNP6+F+RaXgWBNf769m9YFqdpU1YdRpmdY/jl9e1JeJWTEYdDIUSwghejoJLAI4fjXjUb2iGNUriseuGMCag9V8vb+aJfnlvLGuCKNey6AkO0NTw8lNjSA7PoyUSMuZh4WQCHA1/eBdiqJyrLGNg1XN7ChpZEdpAztLm3C6fdjMeiZmxXDr2HSmZMdJa4oQQpxnJLCI7wkx6rh4YAIXD0xAUVT2VjjYUlTP9pIGPiuo5I11RQDotRpSoyz0ig4l3m4iJtRMdJiRKKuJiqY2Wtw+CmtacFma8PlV3D4Fj0/BUtLAocYSaprd1Do9VDlcFNW2UFTbgvtf68REhxrJTY3gnkm9GZEeSW5KOHppSRFCiHNGriUkuhWtVsPAJDsDk+zcTgYA1c0uDlc7KaxpobDaSVFtC9uONlLT7Ka+xY2iwhh9DZHaVh7/eA9rlY5vswu1h1itWIm0GokONRITZmJYWgTXDU+hV4yVPrGhJIWHBN0/FiGEOB/JGBbRbcWGmYkNM//gBQT9ikpjq4cvl39GTXUVM4cn0pAwDoNOi8mgxaTXYmlIJCwiGkNESgCqF0II0R1JYBGdSqfVEBVqwmrS49BrSY20kJoS3vFB9hw4sgoksAghhDhNMihAnHta3Tm7ppAQQoizE2zTmiWwiMAIkn8AQgghugcJLCIwdAbwuQNdhRBCiG5CAosIjPgcqNwd6CqEEEKcQLDN1JTAIrrWiXp+rFHQWndOSxFCCHHmZAyLOD+cLKAHWXoXQggRvH5UYJk3bx4ajYYHH3ywfdtHH33ERRddRHR0NBqNhvz8/NM61qJFi+jfvz8mk4n+/fuzePHiH1OaEEIIIXqQsw4seXl5vP766+Tk5HTY3tLSwrhx43jqqadO+1gbN27k+uuvZ/bs2ezcuZPZs2dz3XXXsXnz5rMtT3QHobHQXBnoKoQQQvyAHjGGxel0ctNNN/HGG28QERHR4b7Zs2fzv//7v0ydOvW0j/f8888zbdo05s6dS3Z2NnPnzmXKlCk8//zzZ1Oe6C5iB0DVnkBXIYQQ4iS69RiWe++9l0svvfSMQsnJbNy4kenTp3fYdtFFF7Fhw4ZOOb4IUjo9qEqgqxBCCNENnPHS/AsXLmT79u3k5eV1WhGVlZXExcV12BYXF0dl5Ym7C9xuN273d+t4OByOTqtHCCGEEMHljFpYSktLeeCBB3j33Xcxm82dWsh/9pWpqnrS/rN58+Zht9vbbykpcl2abkmrA7830FUIIYT4D916DMu2bduorq5m2LBh6PV69Ho9a9asYf78+ej1evx+/1kVER8f/73WlOrq6u+1uvy7uXPn0tTU1H4rLS09q+cWARY7AKpkATkhhAhWwTKG5Yy6hKZMmUJBQUGHbbfddhvZ2dn8+te/RqfTnVURY8aM4csvv+Shhx5q37ZixQrGjh17wn1MJhMmk+msnk8EkbA4qNgZ6CqEEEL8h2C7+OEZBZawsDAGDhzYYZvVaiUqKqp9e319PSUlJZSXlwNw4MAB4HgrSnx8PABz5swhKSmJefPmAfDAAw8wceJEnn76aWbOnMnSpUv56quvWL9+/Y87O9E9BFmzoxBCCNBqj3fCBEtg6fSVbpctW0Zubi6XXnopAD/5yU/Izc3l1VdfbX9MSUkJFRUV7T+PHTuWhQsX8re//Y2cnBwWLFjABx98wKhRozq7PCGEEEKchm9bWBQlOGZznvEsof+0evXqDj/feuut3HrrrWe0D8CsWbOYNWvWjy1HdEeWSGipBWt0oCsRQgjxL8HWJSTXEhKBFzcIKgtO/TghhBDnTI/vEhLijOmNoPgCXYUQQoh/E2xdQhJYhBBCCPE90iUkxA/RaEA5u3V8hBBCdA2tViuBRYgOYvtD9d5AVyGEEOLfaDQa6RISogNbIjSf+NpRQgghzj2/3x801+qTwCKCR5A0OwohhPjOf65wHygSWIQQQghxQoMHDw50CYAEFhFMQiKgtT7QVQghhPgXo9GIxWIJdBmABBYRTOJlATkhhAg2MktIiP9kMIPfE+gqhBBCBCEJLEIIIYQIehJYRJDRQJDM+RdCCBE8JLCI4BKTBbUHAl2FEEIIjq90KwvHiR7trAdp2VOgqaxzixFCCHFWNBqNDLoVPZuqqu2XJj8j/7rYlhBCCPHvJLCILhEsiVwIIUTPIIFFdBnN2baWmMLA1dS5xQghhDhjqqqe/d/yTiaBRQSf+Byo2BXoKoQQQgQRCSwi+Bgt4HMFugohhBBBRAKLEEIIIX6QdAkJcTpk4K4QQoh/kcAiusyPmikU1RvqDndeMUIIIc6YtLAIcSoRGdBQHOgqhBBCBAkJLKJrnW0jS5AkeiGEOJ9JC4vo8dpXug2O97kQQohuTgKL6BKKopzd0vz/zmABd3PnFCSEEOKMSQuL6PH8fv+PDywJg2UBOSGEEIAEFtFFOqWFxRQK3tbOKUgIIcQZkxYW0eN1SmARQggh/kU+UUSX6NTAIgvICSFEQPSYFpZ58+ah0Wh48MEH27epqspjjz1GYmIiISEhXHjhhezZs+ekx1mwYAEajeZ7N5dLrifTXXVaYIlIh4aiH38cIYQQZ6XbB5a8vDxef/11cnJyOmx/5plneO6553jppZfIy8sjPj6eadOm0dx88tkeNpuNioqKDjez2Xy25YkA67TAEtUH6gp//HGEEEKcsR+1YnknO6tPFKfTyU033cQbb7xBRERE+3ZVVXn++ef5zW9+w9VXX83AgQN56623aG1t5b333jvpMTUaDfHx8R1uovtSFAWdTvfjDxQkyV4IIc5X3bqF5d577+XSSy9l6tSpHbYXFRVRWVnJ9OnT27eZTCYuuOACNmzYcNJjOp1O0tLSSE5O5rLLLmPHjh1nU5oIEjLoVgghujdFUb5bBDQI6M90h4ULF7J9+3by8vK+d19lZSUAcXFxHbbHxcVx9OjREx4zOzubBQsWMGjQIBwOBy+88ALjxo1j586dZGZm/uA+brcbt9vd/rPD4TjTUxFdqFMDi94MnlYwWjrneEIIIU5JURSAzmkt7wRn9IlSWlrKAw88wLvvvnvS8SX/2Xx0qlHGo0eP5uabb2bw4MFMmDCBf/zjH2RlZfHiiy+ecJ958+Zht9vbbykpKWdyKqKLdWpgSciBSllATgghziW/3w9008Cybds2qqurGTZsGHq9Hr1ez5o1a5g/fz56vb69ZeXblpZvVVdXf6/V5aRFabWMGDGCQ4cOnfAxc+fOpampqf1WWlp6Jqciulj7SredMV7LbJcl+oUQ4hzr1oFlypQpFBQUkJ+f334bPnw4N910E/n5+fTq1Yv4+Hi+/PLL9n08Hg9r1qxh7Nixp/08qqqSn59PQkLCCR9jMpmw2WwdbiJ4yBgWIYTo3oItsJzRGJawsDAGDhzYYZvVaiUqKqp9+4MPPsiTTz5JZmYmmZmZPPnkk1gsFm688cb2febMmUNSUhLz5s0D4PHHH2f06NFkZmbicDiYP38++fn5vPzyyz/2/ESAtAeWzhpcrqrHb0EyWl0IIXq6bwNLsHz5PONBt6fyq1/9ira2Nu655x4aGhoYNWoUK1asICwsrP0xJSUlHV6AxsZG7rrrLiorK7Hb7eTm5rJ27VpGjhzZ2eWJc+S7FpZOmsMfngJNpRCe2jnHE0IIcVLfDroNlsCiUYNpVZgfweFwYLfbaWpqku6hIPB///d/DB06lEkpfugz9dQ7nIqiQOHXkNkJxxJCCHFKdXV1vPjii9x6662kp6d32fOc7ud3cMQm0eN0+hiWzmytEUIIcUrftmd064XjhDgVRVHQajR03iAWIYQQ55IEFnFeUBQFnVYDOkPnHVRnBK9cEFMIIc4FCSzivKAoClpU0HbiuO74QVBZ0HnHE0IIcUISWMR54XiXEJ0bWCyR4GrsvOMJIYQ4IQks4rxwPLCooA2OBYeEEEKcGQksosdrv8KnppO7hIQQQpwzElhEj9e+2BB0fmAJiwdHeeceUwghxPdIYBE9Xntg0aig7cRZQgCx/aF6b+ceUwghxPdIYBE93nctLF0whkWrO35NISGEEF1KAovo8Tq2sMgYFiGE6I4ksIger2MLSxcEFq0efJ7OP64QQoh2ElhEj/ddYFG6JrDED4IqWUBOCCG6kgQW0eP5/X4AdCiduzT/t6zR0Frf+ccVQgjRTgKL6PHaA4tGOX79HyGEEN3Ot63lElhEj9UeWFR/17SwCCGE6HJerxcAgyE4/o5LYBGd7ttUrsPf+euwfMsaA87qrjm2EEKI9sBiNAZHS7kEFtHpvm1h0Wo1oO2it1jcAKja3TXHFkIIgcdzfDamXh8cy1NIYBGd7rsxLF3Y76kzgOLvuuMLIcR5zuv1YjAY0HbVF88zFBxViB6lPbBog2OglhBCiDPn8XiCZvwKSGARXaB9HRZdFwcWjRb8vq59DiGEOE9928ISLCSwiE733dL8XRxY4gZA9Z6ufQ4hhDhPeTyeoBlwCxJYRBdoDyxd3SUUFi8zhYQQootIC4vo8dqnNWvk7SWEEN2VBBbR433XwhLgQoQQQpw1CSyixztnY1gAQiKhpa7rn0cIIc4zElhEj9e+cNy56BKSKzcLIUSXkMAierzvWljOwZPpjeD3noMnEkKI84sEFtHjKYqCVqtFIwvHCSFEtyWBRfR43waWc0ajkWX6hRCik0lgET2eoihoNBpQz9ETxvSDmv3n6MmEEOL84PP5ek5gmTdvHhqNhgcffLB9m6qqPPbYYyQmJhISEsKFF17Inj2nXo100aJF9O/fH5PJRP/+/Vm8ePGPKU0EmEajgXPVI2RPAkf5OXoyIYQ4P/SYFpa8vDxef/11cnJyOmx/5plneO6553jppZfIy8sjPj6eadOm0dzcfMJjbdy4keuvv57Zs2ezc+dOZs+ezXXXXcfmzZvPtjwhhBBCnCVVVXtGYHE6ndx000288cYbREREtG9XVZXnn3+e3/zmN1x99dUMHDiQt956i9bWVt57770THu/5559n2rRpzJ07l+zsbObOncuUKVN4/vnnz6Y8EQRU9Vz1BwkhhOhsfr8fVVW7f2C59957ufTSS5k6dWqH7UVFRVRWVjJ9+vT2bSaTiQsuuIANGzac8HgbN27ssA/ARRdddNJ9RPDSnIsF4/6T2Q5tDef+eUVQW7t2LZdffjmJiYloNBqWLFlyyn3WrFnDsGHDMJvN9OrVi1dffbXrCxUiyHi9x5eL6NaBZeHChWzfvp158+Z9777KykoA4uLiOmyPi4trv++HVFZWnvE+brcbh8PR4SbOY/E5UCkLyImOWlpaGDx4MC+99NJpPb6oqIhLLrmECRMmsGPHDh555BHuv/9+Fi1a1MWVChFcgjGw6M/kwaWlpTzwwAOsWLECs9l8wsf95zdsVVVP+a37TPeZN28ejz/++GlULc4LBjP43IGuQgSZGTNmMGPGjNN+/Kuvvkpqamp7d3S/fv3YunUrzz77LNdcc00XVSlE8Pk2sOj1ZxQTutQZtbBs27aN6upqhg0bhl6vR6/Xs2bNGubPn49er29vJfnPlpHq6urvtaD8u/j4+DPeZ+7cuTQ1NbXfSktLz+RUhBDie07UPb1169b2P+BCnA+CsYXljALLlClTKCgoID8/v/02fPhwbrrpJvLz8+nVqxfx8fF8+eWX7ft4PB7WrFnD2LFjT3jcMWPGdNgHYMWKFSfdx2QyYbPZOtzE+U4D/7osgBBn40Td0z6fj9ra2gBVJcS55/P5gOBqYTmjSsLCwhg4cGCHbVarlaioqPbtDz74IE8++SSZmZlkZmby5JNPYrFYuPHGG9v3mTNnDklJSe3jYB544AEmTpzI008/zcyZM1m6dClfffUV69ev/7HnJ84n0ZlQdwhi+ga6EtGN/VD39A9tF6Ina78m3LlctfwUOj06/epXv6KtrY177rmHhoYGRo0axYoVKwgLC2t/TElJSYcXYezYsSxcuJDf/va3PProo/Tu3ZsPPviAUaNGdXZ54hwJyLTm8FQ4/JUEFnHWTtQ9rdfriYqKClBVQpx7PTKwrF69usPPGo2Gxx57jMcee+y09wGYNWsWs2bN+rHliCAQsG+i8g1Y/Ehjxozh448/7rBtxYoVDB8+PKj68oXoat9+6QymwBI8lQghRCdzOp3t4+3g+LTl/Px8SkpKgOOD9+fMmdP++LvvvpujR4/y8MMPs2/fPv7617/yl7/8hV/84heBKF+IgOmRLSxCBBVjKLgcYJZB2AK2bt3KpEmT2n9++OGHAbjllltYsGABFRUV7eEFICMjg88++4yHHnqIl19+mcTERObPny9TmsV559vAEkxjtySwiJ4lIQfKd0D6+EBXIoLAhRdeeNLxVAsWLPjetgsuuIDt27d3YVVCBL9gbGEJnkqE6AxGK3jbAl2FEEJ0axJYhBBCCBH0JLCI80Zgr9asAblatBBCnDUJLOK8EPBBWpEZUH8ksDUIIUQ3JoFFiHMhspcEFiGE+BFkHRYhzoVAt/AIIUQ3F4zTmiWwCCGEEKID6RIS4lwxhICnJdBVCCFEt6QoSlCFFZDAIrpIYGcJAQmDoWJnYGsQQohuSgKLOC8ERZ+nKUxaWIQQ4ixJYBFCCCFE0JPAIsS5FuiuKSGE6IYksAhxLoWnQePRQFchhBDdjqqqEliEOGei+kDt4UBXIYQQ3Y60sAhxLmm1gHQJCSHEmVIUJTgmUPwbCSyiSwR8WrMQQoizJi0s4rwQVKlcbwJvW6CrEEKIbkUCixDnWnwOVOwKdBVCCNGtSGAR4lwLCQe3I9BVCCFEtyKBRQghhBBBT6Y1CxEIqioLyAkhxBmQFhZx3giqWUL2ZHAcC3QVQgjRbUhgEeeFoJolBBCTDTX7A12FEEJ0G7IOixCBoNVKl5AQQpwBv9+PTqcLdBkdSGARQgghRAfSJSREoOgM4HMHugohhOgWpIVFiECJz4HKgkBXIYQQ3YK0sAgRKJZIaGsIdBVCCNEtdPsWlldeeYWcnBxsNhs2m40xY8bw+eeft99fVVXFrbfeSmJiIhaLhYsvvphDhw6d9JgLFixAo9F87+Zyuc7ujIQQQgjxo3T7Fpbk5GSeeuoptm7dytatW5k8eTIzZ85kz549qKrKlVdeyZEjR1i6dCk7duwgLS2NqVOn0tLSctLj2mw2KioqOtzMZvOPOjEROME2FU4IIcSZCcYWFv2ZPPjyyy/v8PMTTzzBK6+8wqZNmzAYDGzatIndu3czYMAAAP785z8TGxvL+++/zx133HHC42o0GuLj48+ifCHOQGgcOCrAlhDoSoQQIqh1+xaWf+f3+1m4cCEtLS2MGTMGt/v4DIx/bxnR6XQYjUbWr19/0mM5nU7S0tJITk7msssuY8eOHad8frfbjcPh6HATwSWoVrsFiO0P1XsDXYUQQgS9YGxhOePAUlBQQGhoKCaTibvvvpvFixfTv39/srOzSUtLY+7cuTQ0NODxeHjqqaeorKykoqLihMfLzs5mwYIFLFu2jPfffx+z2cy4ceNOOfZl3rx52O329ltKSsqZnoo43+j0oCqBrkIIIYJejwgsffv2JT8/n02bNvGzn/2MW265hb1792IwGFi0aBEHDx4kMjISi8XC6tWrmTFjxklPevTo0dx8880MHjyYCRMm8I9//IOsrCxefPHFk9Yxd+5cmpqa2m+lpaVneipCCCGE+AHB2CV0RmNYAIxGI3369AFg+PDh5OXl8cILL/Daa68xbNgw8vPzaWpqwuPxEBMTw6hRoxg+fPhpH1+r1TJixIhTtrCYTCZMJtOZli/Od1o9+L3HF5ITQgjxg3pEC8t/UlW1ffzKt+x2OzExMRw6dIitW7cyc+bMMzpefn4+CQkyMLK7C7IRLMfFDZQF5IQQ4hS6fQvLI488wowZM0hJSaG5uZmFCxeyevVqli9fDsCHH35ITEwMqampFBQU8MADD3DllVcyffr09mPMmTOHpKQk5s2bB8Djjz/O6NGjyczMxOFwMH/+fPLz83n55Zc78TTFuRTU05pDY6AiP9BVCCFEUAvGFpYzCixVVVXMnj2biooK7HY7OTk5LF++nGnTpgFQUVHBww8/TFVVFQkJCcyZM4dHH320wzFKSko6pLbGxkbuuusuKisrsdvt5ObmsnbtWkaOHNkJpyeEEEKIM9XtW1j+8pe/nPT++++/n/vvv/+kj1m9enWHn//0pz/xpz/96UzKEN1FUPYJCSGEOJVgbGEJrvgkxLlgiQJnTaCrEEKIoBWMLSzBVY0Q50L8IKiSgbdCCPFDVFWVFhZxfgnaHiGdARR/oKsQQoig5Pcf//toMATX8g8SWESnC+pZQkIIIU7K5/MBSAuLEEFBowW/L9BVCCFE0Pk2sOj1Z7y2bJcKrmpEt3b48GG++uorKisrA13KqX17IcSEnEBXIoQQQUUCi+hRDh8+zPbt2ykvL8doNGK1WikuLiYhIYE+KXG0+VQ0rsZAl3litgSo2h3oKoQQIuhIYBE9gqIorFq1inXr1pEQG0W/eAtev0KLy8EFA5MZlRlDSMpgaGuAuAGBLlcIIcQZ+nbQrQQW0S05nU5qampYu3YtxcXFTB3Rj7GD0tGmjvrhHSLSzm2BQgghOoW0sIhua+fOnSxevLj95zFD+jE+VQcnCivdRUgEtNaDJTLQlQghRNAI1sAis4TEKUVGRhIZ+d2H+uZdB/BrjQGsqJPED4LKXYGuQgghgsq3XUKy0q3odlJSUrj//vsxm80AXD8+E11kemCL6gx6E/i9ga5CCCGCiqIogKzDIrqx+Ph4ABqMCRDMM4CEEEKctW8DS7AtAhpcHVQiqOXm5lJcXExV+TEKfVoK1v0ZFZjQN5roQVO751gQjeb4Mv3a4PomIYQQgRKsY1iCqxoR1AYMGEBTUxOrVq1ix97vrhQUGt+HaWV5kHVRAKs7SzHZUHMA4voHuhIhhAgq0sIiui29Xs/EiRPp06cPzc3N7Nq1iz179jAuxgkZlwS6vLNjS4LqfRJYhBDiX1T1+BdSCSyi20tMTASOjyTfs2cPPq0RDOYAV3WWguwfpBBCBFqwjmGRQbfirJSXl7Nhwwa0Wi06VS4iKIQQPYW0sIge4ciRI+zbt4+8vDzCwsK4YUIm1qR+gS7rxzHZoK0RQsIDXYkQQgScBBbRbR05coRPP/0Ug8FAZWUldlsYo/omMCYzmvCBU8FsD3SJP05CDpTlQcbEQFcihBDiBCSwiBMqKiqivLycL7/8EoAhA7IYEGdk3KA0tL0u7DlTgQ0h4HMHugohhBAnIYFF/KBt27bx8ccft//cNyOZK/qZ0Q68MYBVCSGEOF9JYBHfs2TJEvLz89t/joqK4oZcOwy8OnBFdTkNKAoE2bUzhBDiXAu2sSvfksAiOti8eTP5+fmkpqRwQ8wBqiKGExkWAr3HBrq0rhXdB+oOQ0xWoCsRQgjxA+TrpOjAaDx+FeaS0lKe3m6hocWNLSoerFEBrqyLhadB49FAVyGEEAH37SyhYCOBRXQwePDg9oXhAD7bVoK3dBvKkTXQXBnAyrpYkDaBCiHEueZyudDpdHItIRHcvF4vDQ0NHX5+YkUlUMmFw8q5cFAKpI8PXIFCCCG6RElJCVu2bKGwsBCr1Rp0Y1kksIgOTCYT9913HxUVFfj9fnw+H3v37mXPnj0crffQcnAdIX4/2pQRYLQEutzOZQwFdzOYwgJdiRBCnBOqqnLkyBHWrFlDSUkJUVFRjBgxguzs7ECX9j0aNVg7q86Qw+HAbrfT1NSEzWYLdDk9SmFhIe+88077zyaTicmDkhieFY+uz5Sesx6LpwXKd0gLkhCiR/P5fFRWVlJUVMT+/fs5duwYSUlJTJgwgaysLLTneLbk6X5+S2ARp6W5uZnKykq8Xi8HDx4kPz+f6KhIpvWLIKv/IDSJQwJdYuc49CVkTgt0FUII0elaW1v54osvjl+01ufDYDCQnp7OyJEj6dOnT8C6gE7381u6hMRpCQsLIyzseFdJ//79GTVqFJ999hnvry9kpjGGXM1OSBgc4CqFEEKcyEcffcThw4eZPHkyvXr1IiEhAZ2u+7SQn1G7zyuvvEJOTg42mw2bzcaYMWP4/PPP2++vqqri1ltvJTExEYvFwsUXX8yhQ4dOedxFixbRv39/TCYT/fv3Z/HixWd+JuKcSkhIaB9BHmrWg84Y4Io6Uc9odBRCiA5SU1MBaGhoIDw8vFuFFTjDwJKcnMxTTz3F1q1b2bp1K5MnT2bmzJns2bMHVVW58sorOXLkCEuXLmXHjh2kpaUxdepUWlpaTnjMjRs3cv311zN79mx27tzJ7Nmzue6669i8efOPPjnRtUwmEwBGpbXnDFSN7AX1RwJdhRBCdLqJEycyc+ZMCgoKeP7551mxYgVud/e5jtqPHsMSGRnJH//4RyZMmEDfvn3ZvXs3AwYMAMDv9xMbG8vTTz/NHXfc8YP7X3/99Tgcjg4tNRdffDERERG8//77p12HjGE593w+H6+++ipms5k7JiRB3xmBLunHU1U4vBIypwa6EiGE6BKtra1s3ryZDRs2EBoaylVXXdXe+hIIp/v5fdZDgf1+PwsXLqSlpYUxY8a0pzSz2dz+GJ1Oh9FoZP369Sc8zsaNG5k+fXqHbRdddBEbNmw46fO73W4cDkeHmzi3CgsLaWxsJDUhBnSGQJfTOTQaQLqEhBA9l8ViYdKkSdx9992Ehoby17/+lZUrVwbtCrffOuPAUlBQQGhoKCaTibvvvpvFixfTv39/srOzSUtLY+7cuTQ0NODxeHjqqaeorKykoqLihMerrKwkLi6uw7a4uDgqK0++quq8efOw2+3tt5SUlDM9FfEjffLJJ/h8Pjbk7WDxhkMo+z4NdElCCCFOU1RUFLfddhuTJ09m3bp1fPjhhzQ2Nga6rBM648DSt29f8vPz2bRpEz/72c+45ZZb2Lt3LwaDgUWLFnHw4EEiIyOxWCysXr2aGTNmnHJgz39OpVJV9ZTTq+bOnUtTU1P7rbS09ExPRfxI/76E/84jVSzZUc3Wz96hcssSlCPrwNMawOp+BEPI8TVZhBCih9NqtUycOJGrrrqKkpIS/va3v9Hc3Bzosn7QGU9rNhqN9OnTB4Dhw4eTl5fHCy+8wGuvvcawYcPIz8+nqakJj8dDTEwMo0aNYvjw4Sc8Xnx8/PdaU6qrq7/X6vKfTCZT+6BPERg/+clPaGho4OjRoxw7doxjx45RcKgEVVUxm81cOqyMQQMHQEJOoEs9M/E5ULEL0sYEuhIhhDgnBg8eTHp6Oi+//DLr1q3jkksuCXRJ3/Oj12FRVfV7o4ztdjsAhw4dYuvWrfz+978/4f5jxozhyy+/5KGHHmrftmLFCsaOHftjSxNdTKPREBkZSWRkJLm5uQB4PB7Ky8vZtGkTi77Zz87SJib33UfiwPFgTwpwxafJbAOPM9BVCCHEOeNyudi1axcejydoJ66cUWB55JFHmDFjBikpKTQ3N7Nw4UJWr17N8uXLAfjwww+JiYkhNTWVgoICHnjgAa688soOg2rnzJlDUlIS8+bNA+CBBx5g4sSJPP3008ycOZOlS5fy1VdfnXSgrgheRqOR9PR0UlNTWbhwIQcPHsQek0Ri1e7uE1iEEOI84fF42Lx5M+vWrcPn8zFq1KigbTA4o8BSVVXF7NmzqaiowG63k5OTw/Lly5k27fhS5hUVFTz88MNUVVWRkJDAnDlzePTRRzsco6SkpMN1CsaOHcvChQv57W9/y6OPPkrv3r354IMPGDVqVCecnggUjUbD0aNHAbggoQ3SpwS4orOgqv+aNSSEED2L3+9vDyoul4vRo0czZsyYoG1dAbmWkOgi+/bt48MPP8Rms/HgjGzoe3GgSzozNQdAb4aItEBXIoQQncrv97No0SL27dvHsGHDGDt2LJGRkQGrp8vXYRHiZNavX4+iKGSlJ4I7OEecn1RUJtSd+rISQgjR3RQWFrJ3717GjRvHZZddFtCwcibk4oei06iqSn5+Pp9//jkejweALfl7uTgzt/slY61WrikkhOiRUlJSiI+PZ/369ZSWlmK1WtFqtWg0GrRaLQaDof2agRERESQkJGA0Bv56cRJYRKdxOBwsXbq0/efrxmaQGBOBNn5AAKsSQgjx70JCQrjzzjvZsWMHhYWFuFwuFEVBVVUURcHj8eBwOGhrawOOT6bIzc1l7Nix7bOAA0ECi+g0/76icb/sbPpnREHmtABW9CPpTeB1gcF86scKIUQ3otPpGD58+EnXSfN6vdTV1bFnzx6++eYbKioquP32289hlR11u5Z6EZxqa2tZuHAhADabjcujj0JqN194LX4QVO4KdBVCCBEQBoOB2NhY0tLSMJvNhIWFBbQeaWERncJoNBISEkJbWxsOh4NX8i1M9i0hd1B/SBoa6PLOTkgEuJoCXYUQQpxzTqeTnTt3snXrVhoaGkhKSmLGjBkBrUkCi+gUNpuNX//619TX13Ps2DE+/fRTCqoVcp3VgS5NCCHEaXK5XHz55Zfs2LEDjUZD//79ueqqq0hJSTnlNf66mgQW0am+Xaq/qqqK9evXczQ7irSWOrBGBbo0IYQQp7By5Uq2bdvG9OnTGTJkCBaLJdAltZMxLKJL1NfXA9Dm8YOrMbDF/Bi2RGg6FugqhBDinLBYLGi1Wsxmc1CFFZDAIrrIhAkTiI6OZtGaAnZuz0Mt2dI91zWJyYaa/YGuQgghzonx48czZMgQli1bxtatWwNdTgfSJSS6REJCAnfddRfLli1j8Te72VrUwCUDDpMwYAKEpwS6vNOn1YGqBLoKIYQ4K36/n/Lycg4fPkxhYSGNjY0YDAYMBgNGoxGDwUBERATR0dFER0cTGRnJ5MmTaW5uZvny5eTm5qLT6QJ9GoAEFtGFjEYjU6dOJTQ0lE2bNvG+s42Ho3Z1r8AihBBBRFEUysrKKCsro7y8HI/Hg9ls7nBTFAWn00lFRQXl5eV4vV7MZjMZGRn07t0bn8+H1+vF6/XidrupqKigoKAAr9fb4blCQkJQFEUCi+j5FEXhpZdewufzAaDX60HbDd9yOgP4PKAP/NLUQojzj6IolJeXs3v3bvbs2UNzczMGg4H4+HhCQkJobGzE5XK137RaLRaLhbi4OCZNmkRKSgqJiYknDR6KouBwONqPpdPpSEhIwGAwnMMzPblu+OkhugutVsv06dPJy8ujpqaGPr17g6YbDpuKGwSVBZA8LNCVCCHOE42Njezbt4/9+/dTVlaG3+/HarUyYMAABgwYQEpKClpt5/091Wq1hIeHEx4e3mnH7GwSWESXGjlyJE1NTdTU1KDxOkEbE+iSzpw1Csq3B7oKIcRp8Hg8NDY2oqoqFouF0NDQE64foqoqTU1NNDY20tDQQGNjI21tbe1dI1qtFqvVSmhoKFFRUSQnJ2Mymbqk7paWFg4fPkxxcTHFxcU0NDSg0+nIyMhg6tSpJCQkkJqa2qkhpbuRwCK6lKIoHDlyBIA6Rxt4WgJckRCip3G5XGzcuJHCwkLKy8tRlO8Gyuv1emw2G3a7HZPJhN/vx+/309raSmVlZYfjhIaGYrVaj3dfc3zAaktLCy0tLSiKgkajYeDAgUyfPr1Tlql3Op3s37+fvXv3UlRUhKqqxMbGkpmZSVpaGr1798ZslmuZfUsCi+gyLpeLDz74gIqKCmaO7cvg3gmQMTHQZQkhepDa2lo++OADGhsbycrKIicnh7i4OLRaLS0tLTQ2NtLU1ERTUxNerxedTofBYCAyMpLU1FSio6PJyMggPDz8hOM1FEWhtraWwsJC1q1bx8svv8xVV11F3759z6rmiooKNm7cyO7du1FVlfT0dC655BL69etHaGjoj3k5ejQJLKLLrF27lmPHjjFnag69Bo7o3rODQmOhuRLC4gNdiRDiX/bv38/ChQsJCwvjrrvuIiama7qctVotsbGxxMbGMnjwYJYtW8bChQuZNGkSY8aMOa2BqT6fj8LCQjZt2kRRURF2u51p06aRk5OD1Wrtkrp7Ggksoku4XC6KiopITk6mV1xY9w4rALEDoHitBBYhgsjq1asBuPfee89Z14nFYuG6665j5cqVrFq1is2bN9O/f3+Sk5Mxm83ExMRgNBrxeDzU1dVRU1NDUVERxcXFeL1eEhMTmTVrFv369Qua6cLdhQQW0Sm8Xm/7lLiysjLy8vJwu93cMCETovoEurwfT6cHxR/oKoQQ/6a2tpYxY8ac83EeWq2WadOmkZubS15eHocPHyYvL+8HH6vX60lJSeGCCy6gT58+xMXFBfwigt2VBBZxRlRVpaSkhMLCQo4dO0ZjYyNOpxO3293+GKPRSL+USCb1yyB8wBQICQ9cwUKIHmvgwIFs3LgRr9fLjBkzznmLRXR0NDNmzACgra2NY8eOoSgKqqqi1+uJjIzEbref1zN7OpMEFnFGPvroIwoKCrBYQkiOtJAVYyI0NQyr2YDdYsJuNWMLDUGfNgpMPWzwmFYHfu/xheSEEAE3c+ZMkpOT+eyzzwgJCWHKlCkBqyUkJIQ+fXpAa3IQk8AiTkt1dTWFhYUUFBQwZexwxqdo0PSZDIaQQJd27sQNhKo9kDgk0JUIIQCNRsPw4cOpqalh27ZtAQ0soutJYBGnVFBQwKJFiwDom57A6HgPmuyr4Hzrhw2NhYqdga5CCPEftFotRqNcOqOnk8AiTsnvPz7YdOLYkUyOd0LO1QGuSAghvuN0OrHZbIEuQ3QxGQkkTsrn87FkyRIAekfqIUmupyOECC4Wi4W2trZAlyG6mAQWcUI+n4+jR48CYLPZMNftAcUX4KoCzBIFLbWBrkII8W9sNhsNDQ00NzcHuhTRhSSwiB/k8XiYP38+77zzDgAOh4NXNjZRV7Tr/F6PJG7g8Ss3CyGCxpAhQwgJCeGtt96S0NKDSWAR3+Pz+di7dy8Oh4O4uDhS4qKwWUMY3TeB8LDQ49N7z1d6o7QyCRFkrFYrt956K263mwULFuBwOAJdkugCMuhWfM+SJUvYvXs3oaFWLh0YQWrmAAiNB2v0+TczSAjRLURFRXHbbbexYMECFi1axG233RbokkQnk8Ai2h05coT8/Hx2795NeHg4D0xOQtP/CtCbAl1acNFoj3eLnc8tTUIEocjISMaPH89nn32GoiiywmwPc0a/zVdeeYWcnBxsNhs2m40xY8bw+eeft9/vdDq57777SE5OJiQkhH79+vHKK6+c9JgLFixAo9F87+Zyuc7ujMRZaWho4O2332bXrl1MGJDMjePS0CQPl7DyQ2L7QfW+QFchhPgBTU1Np3X1ZNH9nFELS3JyMk899VT78sNvvfUWM2fOZMeOHQwYMICHHnqIVatW8e6775Kens6KFSu45557SExMZObMmSc8rs1m48CBAx22neuLWZ3v7HY7w4cPZ+vWrYSFRxEblwCRGYEuKzjZEo+veBs/MNCVCCE4Pu6upKSEvLw89u3bx4QJE6R1pQc6o8By+eWXd/j5iSee4JVXXmHTpk0MGDCAjRs3csstt3DhhRcCcNddd/Haa6+xdevWkwYWjUZDfHz8mVcvOo1Wq+Wyyy5Do9Hw2Td57Cup5tIBRUTnXASWyECXJ4QQ7VRVpa6ujsLCQg4fPkxxcTFer5fw8HCuuuoqcnJyAl2i6AJnPYbF7/fz4Ycf0tLSwpgxYwAYP348y5Yt4/bbbycxMZHVq1dz8OBBXnjhhZMey+l0kpaWht/vZ8iQIfz+978nNzf3pPu43e4OVwiWUeFnz+/3s3LlSgoKCkhLS8NqtVJUWsHu9N5cWL4d+kwNdIlCCAFAZWUlS5YsobKyEp1OR2pqKhdccAG9e/cmPj4ejUwM6LHOOLAUFBQwZswYXC4XoaGhLF68mP79+wMwf/587rzzTpKTk9Hr9Wi1Wt58803Gjx9/wuNlZ2ezYMECBg0ahMPh4IUXXmDcuHHs3LmTzMzME+43b948Hn/88TMtX/yLoiiUl5dz6NAh9u7dS21tLQP79qK68hh6nYbhWQmMjnZCxmWBLjU4mcOhtV5an4Q4h9ra2njvvfcwm83ccMMNZGRkyDWEziMaVVXVM9nB4/FQUlJCY2MjixYt4s0332TNmjX079+fZ599ljfeeINnn32WtLQ01q5dy9y5c1m8eDFTp57et3RFURg6dCgTJ05k/vz5J3zcD7WwpKSk0NTUJNeU+Dcul4sdO3ZQXV2N1+vFYDDgcrkoKSmhpaUFs9lMn6QoRmXYSemVBUYr+FwQnSUDbk/G54aSTdDrgkBXIsR5oampiQ8++IDa2lruuecewsPDA12S6CQOhwO73X7Kz+8zDiz/aerUqfTu3Zvnn38eu93O4sWLufTSS9vvv+OOOygrK2P58uWnfcw777yTsrKyDjOQTuV0T/h8UlZWxsKFC2lrayMu0oZBBz6fH5NBT0JECJmJ4aTEhKNLGAi2hECX2/0c+hIypwW6CiF6LLfbTWlpKQcPHmTHjh2EhIRw/fXXk5SUFOjSRCc63c/vH70Oi6qquN1uvF4vXq/3eyOzdTodiqKc0fHy8/MZNGjQjy3tvLdw4UKcTidDMlNIs7TSNyUGS7+pYAwFg8zC+vGkr1yIs+Hz+WhqasLpdOJ0OmltbcXn8+FyuXA6nbS0tNDY2EhVVRWqqmKz2Rg5ciTjx48nJCQk0OWLADmjwPLII48wY8YMUlJSaG5uZuHChaxevZrly5djs9m44IIL+OUvf0lISAhpaWmsWbOGt99+m+eee679GHPmzCEpKYl58+YB8PjjjzN69GgyMzNxOBzMnz+f/Px8Xn755c490/NQdnY2Bw4c4OCxOvJbW4kqU/l5yDoYcFWgS+sZNICigEyfFOKUFEVh37597N69m8OHD+P1etvv02g0GAwGzGYzVqsVq9VKQkICw4cPJzU1lZiYGBlMK84ssFRVVTF79mwqKiqw2+3k5OSwfPlypk073iy+cOFC5s6dy0033UR9fT1paWk88cQT3H333e3HKCkp6dAK09jYyF133UVlZSV2u53c3FzWrl3LyJEjO+kUz1+XXXYZl112Ge+99x4HDx4kPjIMtLKgUqeJzoLagxCbHehKhAhqjY2NfPTRR5SUlJCUlMTEiRNJSkoiLCyM0NBQzGazBBJxSj96DEuwkDEsP8zhcPDcc89xyeRxjEw2QK8LA11Sz6GqcPgrGccixEnU1NTw5ptvYjabufLKK8nIkAUpRUfnbAyLCG6HDx8GIN3SBqkyo6VTyTdCIU7K5/Px2muv4ff7efDBB2X8ifhRJLD0UB6PhxUrVrB161YGZmUQYzODXtYrEEKcO6tWrcLn83HHHXdIWBE/mgSWHqikpIQlS5bgcDi4dFQmwwdmoUkZEeiyeiZTGLiawGwPdCVCBJWSkhK++eYbpkyZQnJycqDLET2ABJYeQFVVWltbqa+vJz8/n23btpGcGM+NI3oRnTMdrNGBLrHnis+BY9sgY0KgKxEiqOTl5RETE8O4ceMCXYroISSwdGMul4uNGzeyefNmXC4XACEhZi4e3ouR2Sloe18o4yy6mtFyfGVgIUQHtbW1xMfHy1WTRaeRwNJNbdmyhVWrVuH1ehmeGU9qdCjhoWZiI23o00Yf/yAVQogAOHLkCBUVFYwdOzbQpYgeRAJLN3TgwAE+++wzhgzoy+QMPbb+U+QifAGlOT7FWVqzhKC1tZVPPvmE5ORkBg4cGOhyRA8ibXXdjMPh4KOPPqJPrwxm9jNhG36thJVAi+oNdYWBrkKIgPN4PHzwwQe4XC6uvvpqWQxOdCppYQlSXq+XgoIC6urq6NWrF7179wbg0KFDuN1urh4Siab/JQGuUgAQkX58AbnoPoGuRIiAqays5J///CdNTU3cfPPNREbKFynRuSSwBFBtbS3l5eU4HA7CwsLo168fRuPxtVIWL17M3r17Afjmm2+45557iI2NJTr6+IyfOrcei8cp02mDgXyLFOexpqYmtm/fzvr164mOjuauu+4iJiYm0GWJHkgCS4Bs3bqVTz75BACDwYDX6+XAgQPMmjWLHTt2sHfvXq655hry8/OprKwkLCwMOH49JwC96gGdLAQnhDg7Ho8Hh8NBc3MzDQ0NNDQ0oKoqsbGxZGZmnnChN0VRKC8v5+DBgxw8eJDKykoMBgOjRo1i0qRJGAxyvTLRNSSwnGMNDQ2sWrWK/fv3k5WZyVXexXyku5xDhUUYjUb+/Oc/U1tby4C+fRjY9DXb/Ha0Wi2bN2+mtraW3bt3M3xwfxIiQ8EgK0cGDaMV3E4whQa6EvH/27v36Kirc+Hj37klk8nkNhmSSTK5kZB7AgGCAnKViyiKqK+orbXa1Vasta89np7TnmO7+rpceFrPObZrndXWg62iFitaFIoiAbkawBAIhEASciVXEgLJZDLJXPf7B2VqhHAJCTMZ9metWUtmJjvP78k28+T3279nS1dUW1vLjh076Ojo4KtbyUVERCCEwGKxAPDII4+QmZkJQHd3N42NjTQ1NVFfX09/fz9arZb09HRmzZpFRkYGWq3WJ8cj3Trk5oc32bZt2ygpKcEUG8M30/tQRafy679V4fF4AEiKj2VxdhTmpBQUsdmcP/oJm45209nTjz4kmMLkCGbkpqFMm+vjI5GGsFuh4xgky9s4Jf9VV1fHO++8Q0pKCvn5+RgMBvR6PeHh4d7L0R0dHaxbtw6bzUZoaCgKhQKr1YpCoSAuLo7U1FQyMjIwm82oVCofH5EUCOTmh36gurqa9evXExMTwze+8Q30ej1WqxWAjjOdqG7PJcQ8mScWQH1nH6aoULLSJ6JImuEdI+q2R3kitxOsZy60gY9Mlmsm/FGwHhz9vo5Ckq5o165dmM1mHn/88WEbuplMJv7pn/6Juro6WltbcbvdJCcnk5iYKM+iSD4lC5YxFBMTA0BnZyf/8z//Q0JCAg0NDeRmTCQzWklIzESYkEHyhAySrzSQPubCQ5IkaYQ8Hg8Wi4WcnJyrdp9VqVRkZGSQkZFxk6KTpKuTBcsYioyMZOLEidTX1+NyuWhoaMBojOb/FIRC3oO+Dk8aC7KBnOSH7HY7W7Zsobe3l6ysLF+HI0kjIguWMdTf3099fT13z7+NyeEWLJ4QIsN1kDbP16FJYyEqFc43giHV15FIEgB9fX0cPnyYgwcP4nA4ePDBB0lOvuL5XEnyW7JgGUNqtRqFQkF3n52gWD0Tsu/xdUjSWIpOg9odsmDxMbfbjVKpvKW7rJ45c4Zdu3ZRVVWFSqWioKCAefPmEREh+zZJ45csWMaQVqtl0aJFFBcX03XWzMKz60lImYTCPE1eNghE8mfqM0IISktLOXjwIN3d3QQHBxMfH8/06dPJzs6+ZXYMdrvd7Nmzh7179xIZGcldd91FQUHBsD1VJGk8kQXLGJs9ezaxsbFs3ryZtTtaiIpsJ99czuQUI9ETC0Cju7APTUTChRbv0jgXEF0Cxp36+no++eQT8vLymDVrFjabjdraWjZs2EBkZCRFRUXk5OQQFRXl61DHzMDAAH/5y19oampizpw5zJ07F7Va/oqXAofsw3KTeDweGhsbqaio4MSJE9jtdiZnphCkgor6DkyGcB4qNKAvfADUsoPtuNWwFxKmQZDO15HcUo4ePcrGjRt59tlnvdtXALS1tVFSUsLJkydxu92YTCaysrLIzs4mNjbWhxGPLo/Hw1tvvUVnZyerVq0iJSXF1yFJ0jW71s9vWbD4gNPpZO/evezZs2fI8/fftYApSREQP8U3gUk3brAXOk9C0u2+juSWYrPZeP311+np6SEiIoLQ0FC0Wi1hYWFER0djMplwOBxUVVVRU1ODw+EgMTGRZcuWER8f7+vwb1hdXR1vv/02jz/+uHejVEkaL2TjOD+m0WgoKioaUrBMz0klT9cNpjt8GJl0w7QRYO/zdRS3HJ1Ox+rVq6murubMmTMMDAwwMDBAd3c3VVVV2O12Fi9ezEMPPYTL5aKmpobdu3ezdu1a7rzzTmbNmjWuF+m2t7cTHBzMxIkTfR2KJI0ZWbDcJBf34RBCkJycTGVlpfe1J+4qInXiRIjJ9mGEkuSfXC4XLpeLoKCgYRfPDgwM0NbWRnh4ONHR0QQFBaHRaFAoFDQ1NfHXv/7Vu0eOWq0mJyeHjIwMdu7cSXFxMWq1mttuu+1mHtaocrlc3uOVpEAlC5aboKamhj//+c+EhISgUCjYtWsXKpWKZbdlUZAYRkhCHkTJ3ggBRTaQu2HV1dXs3buXlpYWAJRKJSaTialTp5KXl4dWq0UIwfbt29m/f793P67LmTRpEvPnzx/ynFqtZuHChZSVldHd3T2WhzLmwsLC6O/vx+FwePcEkqRAIwuWUeZ0Omlra6O7uxu3241araakpITw8HCen2dEhE6gvsNCqFZNXFYRRCb5OmRptEUkQm+z/NnegPr6etavX09KSgrLly9Hq9Vis9moq6tjy5Yt7NixgwULFuBwOPjiiy+YP38+eXl5KBQKHA4HDocDp9OJEAKDwUB0dPRlv8/x48cZHByksLDwJh/h6EpISEAIQWtrK6mpsg+QFJhkwTKKenp6eP3117HZbAAoFArv9u1xcXGsrxgkN+4ck3OzwDzNl6FKY8mYAfWfy4LlBtjtdgDS0tJITk4mOjoapVLJjBkz6O3tZdeuXXzyyScAFBYWXnL25FodOnSI9PR04uLiRit0n4iJiSEoKIi2tjZZsEgBSxYso6i3txebzUZiTAxh3d30hodzpq8Pl8tFe3s77UDzmRCy4vQEy4IlcCmVsh3LDcrMzKSoqIjPP/+cHTt2EBQURHJyMvPmzcNsNrNixQrmzJmDw+G4oduTBwYGSEhIGMXIfWNwcBCXy0VwcLCvQ5GkMSMLllGUlJTE1KlTOX78OANRUZhMJrJNJuLj44mKiuLtt9/GbrejFE5fhypJfk2pVHLPPfewcOFC2tvbaWtr48svv+Sjjz7i2WefBcBgMNzw94mJiaG+vh4hxLhdsOp2u/nVr36FRqORGxtKAU0WLKNIoVBw3333cd999wEXfpGcOXOGhoYG/va3v2Gz2XhqUQ6aieP3bgTpGqmDwGUHtfyL90aEhIR4L3EIIZgwYcKojj916lTeeecdTp48SU5OzqiOfbOcOHECgHvvvRe9Xu/jaCRp7MiC5QZ1dXVx4MABzp8/j9vtBi78YnW5XHR2duJyuVCpVGQnGpk1LZWY9EIIC5wOm9IwYvOg/RgkFvk6Er/m8Xi8C2S//ujr66O7u5tTp07R1tZGQkICd91116h+/4kTJ5KRkcH7779Pamoqubm5pKWljasW/tXV1ZhMJgoKCnwdiiSNqesqWH73u9/xu9/9jsbGRgByc3P5+c9/zrJlywCwWq3867/+Kx999BHd3d2kpKTw3HPPsXr16iuO++GHH/Liiy9SV1dHWloaL7/8MitXrhzZEd1kH330Ea2trehNenQeHXa7HVPMBEIUFvIKzJiNYcRFR6BJnQlBob4OV7pZdAZoLfN1FH7ts88+49ChQzidw18iDQkJISUlhXnz5pGRkTHql22USiWPPPIIlZWVlJaWsmXLFu9C+czMTO6//36/3jhQCEFDQ8O4v8tJkq7FdRUsZrOZV155hfT0dADeeustVqxYwZEjR8jNzeX5559n586dvPPOO6SkpLBt2zaeeeYZ4uPjWbFixWXH3L9/P6tWreKll15i5cqVbNy4kYcffph9+/aNi0ZOJpOJ1tZWrB1WrFgB6Ovr4/8umUj4jMcuLMCUJGmI1tZW9u/fT1FRESkpKWg0Gu9DrVaj0WjQ6/U3ZRGpUqkkPz+f/Px8BgcHaWhoYMuWLVRXV/Pf//3f5Ofnk5aWRmpqqt8VL42NjfT398s7g6Rbwg3vJWQwGPj1r3/Nd77zHfLy8li1ahUvvvii9/Vp06Zx991389JLL13261etWoXFYuHTTz/1PnfXXXcRFRXF+vXrrzkOX+0lJISgo6OD+vp6iouLAchMiuGBqRMInvyQbB52KztVDJMW+zoKv3T8+HE++OAD/uVf/sXvioCLrFYrX3zxBTU1Nd7GcnFxcaSmppKcnIxer8flctHd3U17ezsDAwM4nU7cbjc6nY7IyEgiIyOJjY0lLi5u2C69I9HX10dZWRn79u3DZDLx5JNPolKpRm18SbqZxnwvIbfbzYYNG+jv72fmzJkA3HHHHWzatImnnnqK+Ph4du3aRU1NDb/5zW+GHWf//v08//zzQ55bunQpr7322hW/v91u9/ZqALxtt282hUJBXFycd+Hbj+7JISp30YVLAtKtLSwOLG0QfnM313O5XLS2tuJ0OomNjSUsLOymfv9r0d/fj0qlQqPR+DqUYen1epYuXcrSpUvp6emhoaGBhoYGjh07RklJyZD3Go1G9Hq99yzR+fPnaWhooK/vwr5SoaGhTJo0iYKCgmH3+/F4PFitVnp7e7FYLFitVqxWKzabDY/Hg9vtxm63Y7VaaWtrQ6VSUVRUxIIFC2SxIt0SrrtgqaioYObMmQwODqLX69m4caN3df1vf/tbvvvd72I2m1Gr1SiVStauXcsddwy/oV9HR8clfRRiY2Pp6Oi4Yhxr1qzhl7/85fWGP2bS09PZt28fx3r0zDtTCalzfB2S5Gsx2VC/a8wLFrvdTktLC01NTTQ1NdHa2orL5fpHGDExpKenM3/+fL9p22632wkODkatHh/r/iMjIyksLKSwsBAhBBaLhf7+fjQaDREREcPm1eVy0dLSQk1NDSUlJZSXl7N06VLvH3lw4WzJZ599Rm1tLYODg97nVSoVer2e0NBQFAoFKpWK4OBgoqOjKSwsJDc312/PTknSWLju3xaZmZmUl5fT09PDhx9+yBNPPMHu3bvJycnht7/9LQcOHGDTpk0kJyezZ88ennnmGeLi4li0aNGwY359Id219ET46U9/yo9//GPvvy0WC4mJidd7OKMmOTmZOXPmsGvvXtIipmGe0AX60b0F0+c8HjwN+2jrPIvN7iI2IoSI5FwwyB1iL0upurCn0BixWCzs2bOHw4cP4/F40Ol0JCUlsXDhQlJSUtBqtbS2tlJZWUlJSQnt7e088cQTYxbP9QgJCWFgYACPxzOql0puBoVCQUREBBEREVd9r1qtJiUlhZSUFObOncsrr7zC9u3bmThxovcPtR07dlBbW8vtt99OXFwckZGRhIeHo9Vqx21vGEkaC9ddsAQFBXkX3U6fPp3S0lJ+85vf8Nprr/Gzn/2MjRs3cs899wBQUFBAeXk5r7766rAFi8lkuuRsSmdn51W7VwYHB/tdV8c5c+ZQWlrK0S4F5vbywFq/0FnFqcrDbK3oovvcee/T+ZO6WDmtGmXWMh8Gd2sZGBhg9+7dlJaWEhQUxIIFC8jKysJoNF7yAWcwGMjPz6e8vJyPPvqIyspKcnNzfRT5P+h0OoQQ2O32W+YsgVar5Sc/+Qnr1q1j7dq1LFq0iOnTpzMwMEB8fPyItxeQpFvFDZ+PvfhL52LvhK//taRSqa64i+rMmTMpLi4eso5l27ZtzJo160ZDuyncbjd//vOf6erqwmq14vF4MOsFRJh9HdqosndUs35vLREREXzzm9/EaDRy4MABDhw4QEpCLLnOzWhTZoxOjxkhLjzG2V/el6VSg8txoZHcDRJCUFVVxYYNG1Cr1cyZM4fbb78drVZ71a8tKCigpqaGDRs2MDg4yLRpvt0a4uLZiRMnTvg8lptJp9Px5JNPUlxczKeffsr27dtxOp1kZ2f7OjRJ8nvXVbD87Gc/Y9myZSQmJtLX18d7773Hrl272Lp1K+Hh4cybN49//ud/JiQkhOTkZHbv3s26dev4r//6L+8Y3/rWt0hISGDNmjUA/OhHP2Lu3Ln8x3/8BytWrODjjz9m+/bt7Nu3b3SPdIw4HA7q6uqIjZnAnImhJJiMxKdNggmZvg5tdHg8eBpL+LJ5EI/Hw8qVK0lKurCp38W/jDfvKuVvCgUpcU0sm2wiJnPG1Tf+EwLRcoiO1mZqO3o5bx2kf9CJ2yPwCIFGpSQ6LITo8BCM4SHER+vRJEwZf033YvPgzHFImDqiL/d4PHR2dtLY2EhlZSXNzc0kJCTw8MMPX9MliYuUSiUPPfQQr7zyCps3byYmJsanl1ATEhKYPHkymzdvpq6ujgceeGDcrGe5UcHBwSxfvpyioiJOnTqFWq1mypQpvg5Lkvzedf2GOHPmDI8//jjt7e1ERERQUFDA1q1bWbz4wqWP9957j5/+9Kd84xvf4Ny5cyQnJ/Pyyy/z9NNPe8c4ffr0kLMws2bN4r333uPf//3fefHFF0lLS+Mvf/mL3/ZgsVqt7N69m5aWFgwGA7Nnz0atVqNQqpiaHosq7/6RDdzXga2xjNbufgQQGRqMITIMdepsn7Z395zYzP/74Ij33yaTyfvfc+fOZerUqfT399Pa2sru3bvZ2ehmlaF6+IKl5zQ99Uc4Ut9FRUsf53p6CQoKIjo6Gr0+Go1ajUKhwOFwcLKjm56qNoQQKJVKEmKqyTeHMy0nDVXKrAtrRPxdqBHajlz2JavVSnNzM+3t7ezZswe48EHucrlwuVw4nU4GBwdxOByoVCqSk5N57LHHmDRp0ojWNiiVSn784x/z7rvv8vbbb7Nq1SrS0tJu6PBGSqFQcP/995OUlMTmzZvJyMi45T60Y2Njb2jjRkm61dxwHxZ/cbP6sOzdu5cdO3Zc9rUnF+WQmJSCMmnGtQ/o8eCo+oxdJzo5cKJpyOWz0NBQZqRFMzPLRFDmkguXF26mntOcOHGC97cdAODf/u3frngb6l//+ldOnjxJbqqJ1GgtybERRJqSISYXmg/Q2trKF7U9nGxoQ6PRkJOTQ15eHqmpqcPelulyuejq6uL06dNUVVXR0NBAmD6UaRMNTEuNJiwhCwyp/r1nz9/7sQwMDHDy5Emamppobm7m3LlzwIWfs81mQ6VSkZ+f722eplarCQoKIiEhAbPZPGq3ADscDt5//33q6+tZtmwZRUVX3j7AYrHQ29uLWq0mLCwMnU53xYWybW1t7Nq1i+7ubhQKBUqlEp1Oh9FoJDw8HI1GQ1dXF62trXR2diKE4MknnyQ5OXlUjk+SpPHlWj+/ZcFyFU6nk8OHD+N0OjGZTEyYMIEtW7bQ3NzMwMDAJe9fMKuIeel6mDjv6oP3nKbu8C42Hz2Ltd/GnDlzyM/PR6VScf78eSoqKigvLyc+Lo5vFOrR5t87eu39hYBz9Qy019DZa0MbpCZmwgQUiUWg+vsHo72PzqM7+MNnFaSlpbFs2bIr7rFisVgoLS2lqqqKrq4uACZER5JiCKalT9De0UlUVBQzZ85k8uTJI1o03dHRQWlpKceOHcPlcmE2TSBapyQ0WEVcVCgpseHoU4v85tKRaDlEc2M9ZV0aKisrcbvdxMbGkpSURGJiIklJSdd1aWe0uN1uPvvsM7788ksKCwtZvHgxOp3O+7rD4aCmpobDhw9TX18/5GtVKhXR0dEsX77ce3nwovr6et5++22MRqN3cb7b7cZqtXL27FmsVit2ux2j0Uh8fDwJCQnjbu8eSZJGlyxYRsnRo0fZuHGj9996vZ6cnBxiYmLQ6XRYrVb6+/txOp10dnZSW1vL08unYsqdAyHD/BIWgr6KTyk+1sqx2lZSU1NZvnw50dHRl7y1paWFd955B7VazYy0aO7IS0Y5aeGVgz57CktLNd19g/T02+kbcCCEQBesQaNWYrE56LYM0G5x0Nnd4/2yiPAw7pkSR0Ze4YUeIgBnazlZfoCPD7UwODhIRkYGM2bMYOLEiVf8K9tms9HY2EhFRQWdnZ3Ex8eTnZ1NVlbWqNzGOjAwwIkTJ6itrfU22ert7QXAFB1BhklPTlI0sYlpKOIKfNJx2H3yEz4oO8PJ2iaioqKYOnUqhYWFfrOjrhCCw4cPs23bNpRKJVlZWZhMJlpaWqiursbhcGA2m5k+fTomkwm3243FYsFisXDgwAH0ej3f+c53hoz56aefUllZyfPPPy+bmUmSdE3GvNPtrWLSpEmEh4fT19eH0WjENMHAqeqTlJaWMlytd96hxmQ7N2zBIio38tbuFmwDg9x7770UFhYO+yFuNpv53ve+x9atW/n8aA09Lg0L+z9GpwtFGRQCSvWFh9uB3dpDdWs3R05baWj5x63iISEhKJVKbDYbQgi0Wi3R0dEkpiQy8w4z8fHxWK1Wtm7dypajZ8hIaPpHwWJMJ3tuPGkJe6mo7+DLxrO88847GAwG7rnnnmHXQOh0OnJycrxNBUdbSEgI06ZNG3KHicVioaGhgbq6Or6sqWFPZSuxxhZum1hO/sQ4NGlzQXP1O2pGxcB5WvvgZG0T8+fPZ+7cuX7Xb0ShUDBt2jQyMjIoKSmhrq6O8vJyjEYjs2fPJi8v75IiOiEhgdbWVvr6+sjIyLhkTIPBgM1mk/1DJEkadbJguQqdTscPfvADysvL2blzJxq1mmfy+hHm2+kfdKJWKVGrlLjdLuraLRjCgkmcmATRwy9m9Kh1nO0+x9y5c6/plk6DwcCjjz7Kjh07KCkp4XDlhXUuFzaJu7BI1eP2MPj3rQqSk5O5//77MZvNREREeNc+CCFwu92XvRvD4XBgsViYlJYKiq99sAbpCMpeyrRsmNp2lObKg/zxiza2bNnCc889d62pHHPh4eFMnjyZyZMn43K5qKuro6ysjE1f1rD9+BmmT2ymINmAMSkDYnLG9qyLNhJTqPCuQ/G3YuWrwsLCWLp06TW9t6enh/Xr1xMbG3vZ3kqhoaF4PJ5bqr+KJEk3hyxYrkFwcDC33XYbiYmJvPHGG3xizOQ+JUQVLh/yvskF1zaeKiiEGZOz2bNnD93d3SxZsuSq6xgUCgWLFi3itttu4/Tp0zgcDu/j4us6nY7U1NRh1wMoFIrLFitNTU28++67mGJjWJ4mIP0KXYmD9dhCzUAbEyb4bydftVpNZmYmmZmZdHd3c/DgQQ6Ul7PneDOxxtPkxh8gJykaozkdYnNHv3hxDWIZdONyufyuweFICSH44IMPUKvVPProo0MWAV/cBPTgwYMolcphzz5KkiSNlFzDcp2OHDnCxx9/jGlCNIlRGmIjQy88DKEEpdwO2mtbQClOH+RoZQ3FxztwOBzMnTuXmTNn+qQXxVtvvYXFYuH7d8QSNPnB4W8Xbj9KU0Mdf9p2jODgYH7yk5+Mq3UKTqeT2tpaKisrqa6uxul0YjREkhKtJUofTFhIMPqQIMJCggjVanC5PYRoNWiSZkBI5PV9s5Ob2VAxQEtrKz/4wQ/8Zg+fG2G321mzZg2zZs2iqKgIp9NJd3c3jY2N1NTUcP78eXQ6HQ8++KDPbpeWJGn8kWtYRpnb7eb8+fNkZWURERFBWVkZDWfOcOhUPUIIgoODWXnbebIKpoMx/arjKZJuY0rcZLISPmPXKQs7duzg3LlzrFix4iYczVAXL1cIIaCrCnRGQICjH/rP4ujvobP7PGXtbo5UnsJsNvPwww+Pq2IFQKPRkJ2dTXZ2trd4OXXqFE3NzRxraveerfr61+SlNLEkz0hI3vJ/3EF1JdZOOh0hVJ4o49577w2IYgUunGnMz8+npKRkyG7F4eHhTJo0iezs7Cveoi5JknQj5BmWa9Da2sr69euxWq3AhYWHKSkp6HQ6PB4PVVVVtLa2MrmggJU5Wsi6+/q+Qf0uimusfFl2lBdeeOGmX0K4eEnI7XYTog1Go1IQpFHj8gisNjv2v6+NCQkJYcGCBUyfPt2v12SMlN1ux2q10tfXh81mQ61W09HRQUlJCTpdCI9NN2Kcsgx0hiuO4zm+kXWHejl//jw//OEPA6qD68VLPxfzYzAY0Ov1cpGtJEkjJs+wjKLa2lqsVitmsxmdKxanspeKY8ex9PV63xNnMrFQcwRM373Q4+R6foFHp5MdUcoXTieNjY1kZt7ctv7Jyck888wzVFVVMTg4iNPp9HZX1ev1hIWFER0dTVxcXED/9XxxQ82v3hmTkZFBbm4u69ev54/7Wvm2opiYKUuGv2W9pYxdpwWNjY2sXLkyoIoVuLAOKi4uztdhSJJ0C5JnWK6B0+lk79697Nu3D41GQ4whHrvDTte59iGLC7XaYBInRBKi8mA26kkzRWKIjUcRX3hpl9rWMupq66jt6KHp7ADtZ3sIDg5m9erVPmkkJl2ZzWbjzTffRK1W8705cZB979A39HXQV3eQw802dh85RUFBAffff79PYpUkSRpPZOO4MdDT08Phw4dpaWkhODiYtLQ00tLSCAsLY9OmTfT396NWq+nv76etrQ2Px0NEeBhpMToyE6LITE+DxCLoqKDsZCObd5eh0+lIS0sjOTmZSZMmyWLFj1VWVrJhwwaWzswnJVKJRq3CZndxtrefmjP9VDedQalUUlRUxOLFiwP6bJQkSdJokQWLj9ntdhobG6mrq6Ouro7u7m5SkxIoMmuxoeXTg1Wkp6ezatWqgFwPEojcbjcffvghJ06cuOQ1k8lEYWEh+fn5Q1rcS5IkSVcmCxY/U1VVxeeff05nZycA6enpPPLIIwG3xuFWMDg4SFdXFx6PB61Wi8FgGLWNCSVJkm41ctGtn8nKyiIrK4u+vj5UKhUhISHyzopxSqvVkpiY6OswJEmSbimyYLnJwsLCfB2CJEmSJI07cvGEJEmSJEl+TxYskiRJkiT5PVmwSJIkSZLk92TBIkmSJEmS35MFiyRJkiRJfk8WLJIkSZIk+T1ZsEiSJEmS5PdkwSJJkiRJkt+TBYskSZIkSX5PFiySJEmSJPk9WbBIkiRJkuT3ZMEiSZIkSZLfkwWLJEmSJEl+L2B2axZCAGCxWHwciSRJkiRJ1+ri5/bFz/HhBEzB0tfXB0BiYqKPI5EkSZIk6Xr19fUREREx7OsKcbWSZpzweDy0tbURFhaGQqHwdThYLBYSExNpbm4mPDzc1+H4nMzHUDIfQ8l8DCXzMZTMx1CBlg8hBH19fcTHx6NUDr9SJWDOsCiVSsxms6/DuER4eHhATKjRIvMxlMzHUDIfQ8l8DCXzMVQg5eNKZ1YukotuJUmSJEnye7JgkSRJkiTJ78mCZYwEBwfzi1/8guDgYF+H4hdkPoaS+RhK5mMomY+hZD6GulXzETCLbiVJkiRJClzyDIskSZIkSX5PFiySJEmSJPk9WbBIkiRJkuT3ZMEiSZIkSZLfkwXLCNXU1LBixQqMRiPh4eHMnj2bnTt3DnlPaWkpd955J5GRkURFRbFkyRLKy8uvOK7dbueHP/whRqOR0NBQ7rvvPlpaWsbwSEbH1fLx5ptvolAoLvvo7Owcdtz58+df8v5HHnnkZhzSDRmrfATq/LjozTffpKCgAK1Wi8lk4tlnn73iuIE6Py663nwE8vy43P8rv//97684biDPj5HkY7zODy8hjUh6erq4++67xdGjR0VNTY145plnhE6nE+3t7UIIISwWi4iKihLf/va3RVVVlTh+/Lh48MEHRUxMjHA4HMOO+/TTT4uEhARRXFwsDh8+LBYsWCAmT54sXC7XzTq0EblaPmw2m2hvbx/yWLp0qZg3b94Vx503b5747ne/O+Trenp6bsIR3Zixykegzg8hhPjP//xPER8fL959911RW1srjh8/LjZt2nTFcQN1fggxsnwE8vwAxJ/+9KchP2ubzXbFcQN5fowkH+N1flwkC5YR6OrqEoDYs2eP9zmLxSIAsX37diGEEKWlpQIQp0+f9r7n2LFjAhC1tbWXHbenp0doNBrx3nvveZ9rbW0VSqVSbN26dYyO5sZdSz6+rrOzU2g0GrFu3borjj1v3jzxox/9aDTDHXNjlY9Anh/nzp0TISEhw+ZnOIE6P0aSj0CeH0Jc+IDeuHHjdY0dqPNDiOvPx3idH18lLwmNQHR0NNnZ2axbt47+/n5cLhd/+MMfiI2NZdq0aQBkZmZiNBp54403cDgcDAwM8MYbb5Cbm0tycvJlxy0rK8PpdLJkyRLvc/Hx8eTl5VFSUnJTjm0kriUfX7du3Tp0Oh0PPfTQVcd/9913MRqN5Obm8sILL3h35vZXY5WPQJ4fxcXFeDweWltbyc7Oxmw28/DDD9Pc3HzV8QNxfowkH4E8Py569tlnMRqNFBUV8fvf/x6Px3PV8QNxflx0PfkYr/NjCF9XTONVS0uLmDZtmlAoFEKlUon4+Hhx5MiRIe85fvy4SEtLE0qlUiiVSpGVlSWampqGHfPdd98VQUFBlzy/ePFi8b3vfW+0D2FUXUs+vionJ0esXr36quO+/vrrori4WFRUVIj169eLlJQUsWjRolGMfGyMRT4CeX6sWbNGaDQakZmZKbZu3Sr2798v7rzzTpGZmSnsdvuw4wbq/BhJPgJ5fgghxEsvvSRKSkrEkSNHxKuvvip0Op146aWXrjhuoM4PIa4/H+N5flwkC5av+MUvfiGAKz5KS0uFx+MR9913n1i2bJnYt2+fKCsrE6tXrxYJCQmira1NCHFhjcKMGTPEt771LfHll1+K/fv3iwcffFDk5uYOe51xuAm1aNEi8f3vf39Mj/1yRjMfX1VSUiIAcejQoeuO6dChQwIQZWVlo3GI18XX+Qjk+fHyyy8LQHz22Wfe8Ts7O6/7dHWgzI+R5COQ58flvPrqqyI8PPy6YgqU+XE5V8uHv82PkZAFy1d0dXWJkydPXvExMDAgtm/fLpRKpejt7R3y9enp6WLNmjVCCCHWrl0rYmJihNvt9r5ut9uFTqcT69evv+z337FjhwDEuXPnhjxfUFAgfv7zn4/y0V7daObjq5566ikxZcqUEcXk8XguuQ57s/g6H4E8P/74xz8KQDQ3Nw95T0xMjHj99devOaZAmR8jyUcgz4/L2bdvnwBER0fHNccUKPPjcq6WD3+bHyOhvoGrSQHHaDRiNBqv+j6bzQaAUjl0CZBSqfReQ7TZbCiVShQKxZDXFQrFsNcZp02bhkajobi4mIcffhiA9vZ2jh8/zq9+9asRHdONGM18XGS1Wnn//fdZs2bNiGKqrKzE6XQSFxc3oq+/Eb7ORyDPj9mzZwNQXV2N2WwG4Ny5c5w9e3bYNV+XEyjzYyT5COT5cTlHjhxBq9USGRl5zTEFyvy4nKvlw9/mx4j4umIaj7q6ukR0dLR44IEHRHl5uaiurhYvvPCC0Gg0ory8XAghxMmTJ0VwcLBYvXq1OHHihDh+/Lj45je/KSIiIryn9VpaWkRmZqY4ePCgd+ynn35amM1msX37dnH48GGxcOFCv7/t7FrycdHatWuFVqu9pMoX4tJ81NbWil/+8peitLRUNDQ0iC1btoisrCxRWFh4S+ZDiMCeHytWrBC5ubniiy++EBUVFWL58uUiJyfH2wbgVpsf15sPIQJ3fmzatEm8/vrroqKiQtTW1or//d//FeHh4eK5557zjnMrzY+R5EOI8Tk/vkoWLCNUWloqlixZIgwGgwgLCxO33367+OSTT4a8Z9u2bWL27NkiIiJCREVFiYULF4r9+/d7X29oaBCA2Llzp/e5gYEB8eyzzwqDwSBCQkLE8uXLh9wa7a+uJR9CCDFz5kzx2GOPXXaMr+fj9OnTYu7cucJgMIigoCCRlpYmnnvuOdHd3T2WhzIqxiIfQgT2/Ojt7RVPPfWUiIyMFAaDQaxcuXLIsd1q8+N68yFE4M6PTz/9VEyZMkXo9Xqh0+lEXl6eeO2114TT6fS+51aaHyPJhxDjd35cpBBCCB+e4JEkSZIkSboq2YdFkiRJkiS/JwsWSZIkSZL8nixYJEmSJEnye7JgkSRJkiTJ78mCRZIkSZIkvycLFkmSJEmS/J4sWCRJkiRJ8nuyYJEkSZIkye/JgkWSJEmSJL8nCxZJkiRJkvyeLFgkSZIkSfJ7smCRJEmSJMnv/X/2AwBDL0aUZgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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hhAk5/Ay0XsnbccuJaixB05qPJzpM593FtJQnMrvjXGqCz7AkbQu7Y7MZ1Wyj8N0O7j9lBgqnDX+4E6uqETXx9E1cR2V1IZUVA6lP7E+yJgnd3gXENWWS3Gcc0pCnqYtp5jNdOysDOiyk0KzaR1CSUMoKdmj0TErNJ9Vv5HdNO0j6fCWbORePOZOWKAtKfwpWl51g2SoAGpb/kU86c3h782/5Td/PuDhfib8pj6A9kqYoLw3O7r0QhaKJ9ZumsapzCFaNivycFlJjzLyq8SH5XawfEs2UaXO57t75zNsK3qmjeDH1fOo2XgDvXwkF7aA4kPrI1eGjvtSOt9OPRq8iPsNCVILhZLx8giAIB1F8d/LDHuCYJ7uYN28es2fP7np80UUXAfDAAw/w4IMPAlBVVYXiO1/cHR0dXHvttTQ0NGC1Whk0aBDLly9n+HBRjf5zoTSo0Ut6YommPaMvvs1qAmqZDo2duH7zCDKP29xhvqrWsMJUym6vhPWMeCbXZVNm2cUo1mGuLyTgrEOhCNO7IY3akJqU+i1c6NVTYY+iVDOS+vq1AIz3pxPYnUyjpon2pFZsARNJ7jjyHanUmhSsSvRRp9/JZoOB/2txc23nOzwbfyMza3uj8SayzbaEhcMycDbrOPuTJaRshbMsKwhbEthXvIi4nd/QsCcKa5aPs89KxutYT4MzEU3NQKINrbTIEgleO6s1ydgbP8ailPCpFDhee4I/rttApqMe1XJoiYqh2aokOkOBylkHhli8fiXL3ili36YmkCMzosr772BScqOYcHk+1rjjGLi422DdC1C8ANorQVJAbC4UzIChvwGNCJoEQaCrSain9GGR5J5Skp/I4XBgtVqx2+1YLJaTXZxfpc+efo/eDVF8pd1K2J6CzqNHJy1ATlTiMcn4UZNe30Bu0XbKcrXUR6XTHBrG2FAt+uCp1Ll8qFyvIp/iwJjsprW4D1XuLAo6+1PvNGBK2kZMwSIMKpnM1Y/woaMDp3UfsjKAOhBA5/Hg0esJqtXENTUxcNNm3pmgYFmBk8VVtQRc/2S7J4Ytvl28ff4A3BgZsa+V83aWkbjjayxNZajDIYIKJZ0ZalTDtPTrOwbl7jdoi5fZVWAhrcZDqNLKea6HUUtqvOlRxFubWFB8A9Wr4ghXy+yLTmFvXi5R5jCnNRXh21WHpNGS9uQj6NKj+OjNAB3tMPIUmV7ZoDeA3w/VFbB2hUQoBBf/RkITZQN9DBhs3YKIQFhmg91FidtLQJZJ12kYGWXCojqCJtmWEph7Jvg7If9MiM+HcBDqt0HRArBlw+z5YIj53sPIoRByMIik0Yih4oLwC9VS08l7j6zn3HuGkNjLetzOc6S/3yKdqHDMJI7uzVefLWFoTAZFATv+oAa3WoOqIUyM3Ul6dRVxbS3oU0M0hvuzztWfdK2XpVI60yQFIw05hPT/R6DIRZ3iHWIL1hCv2Al8Svb+cwQdiaRtuIPOEHRG7yTod9OrPBGPcRBD3E/zQf8hTNZY2CbLbBw1nBs+WUQ4qGBu1ARG+1LY525kXYEGr6Tjzqa/clb5nWyw6XnntL7oaq9nmbaDNo2JkFZFoqoe+5YEJEZzQaCZS3S7qU1dRDjVz53tz/JF9VlsqcqiSjbwt8rzOb9mKWljWylIqWMG+4f9p0YTnH09pfd/RMXv7iFhyXoa6jYw7Yb+9Oof23XttEB2X4gd6uatB9byzao4plyUCJ42qK+GgBuAL9wa/thhpCGkRImMEvAjoZdkrjd7uSNBi9L4bZBjOnhCp4V/jgzNvm4ZmP8nUWPTXnh+BLwyFW46OG1B2O+n/a23sX/6Kb6SEgiFUFitGEeMwHb1b9H/T9ZrQRB+3qSfc6dbQfg+Q4cOJRAIUN/wB7TuiXQE1HzcbwV404hvjKIt+goSE+t5wPI6v237iuulz6kghY+k01moKUIp70Ud1hFQBAmV98ZQmkeiWoU3FpIcWqzOBHoHE5E1nWxMfo1wSw7xJXtxhXcRCO9irbIft7e+RLLOhVuazPaoQuoSbNz8eSvvXtCHve5yVP4qvNpkdEE/2XF7aMx7k9fTRjNoi0SC2keucR0P9bsQhTNAUq2PTGUN6XKYzLoKvv5IQ7v1bOJi6hlUEM24gWFWfLSDmvoCZuamoKyNxzTnc2gpgpAPLCmQNBCVSoPqqW/wOxxotQpQwPzVS2lwbEetVJMVlcXk9MkkGBNoKLcDkJQdDaa4yN9+q9qdXF1dyumxVm7JSKDQrEcBVHn9vF3fxlOVjUhmC3fpgtC4G/zOg1+kpl2RYdmNOyN/ALoo0EcfCGBaig/aLez3UzX7N3i2bcMydSrRF16AwmDAX1uL88svqbjoYpIfewzrjDOP8btKEAQhQgQswjEjSRJDhmSzclUtsr4/0WoL0/SnUmcLsTmQQpM3hvCQDl7VTaPG1xutU4HLp8HjUOJq1hEV8mBIgChlB7o4J8b6YcR3WkmrldEHwriCQfZ6tlCq2IqrOgwZEproDMxV5TQZkwmE9vF2+SA2FbiI16QS7QdzZwcAZ372OSaPl4BSQZVhNDvzBvOY6zHOSvmQ2Yp/oBoSpG7IRpYyibCk544+Ks78NJviQD27Qu00KW3EaIMMcnlIXtmGd24TxRPH4LLbmDYzi15xvah8703qHn+R+FtuQZ2SAkR+6J2ffkqgoQHdaRO5Y/MduFL1jNw6A2NFX5oTypkXWsaC4HpGhU9DrjKQNyKRfuNTDrq+Hza2k23Q8p9+mSi+U3OSoddyb+8knq5s5O+1Du7KHQhddVL/Y/CVsPT/IG0EDPstGGLB54g0CS26P7LN2Dth3+JuuzkWrcWzZTMZLz2NYczkbjU3sdddR/msc6m76y5MEyagNBl/9HtIEIQepKsPy8ktxrdEwCIcUyqVCYVCj1LZidWUxtWDzoLsyby46D3mVGup85zCezolfeW9tKviqDTEokiQUDc3IwXD5Csb2JUwCH+0AovZRWuthLfmfZLa9RiD45FDifidbUSlGQmFNNSnxNMUn4HBo8JkqqBDLiAvqCMsK7BVVmBxhZAUMqFceCJLw8i68yls9HHJvNf4cvx0/mq+C8JeJDmIrDBgDoa4qznEBYt94AnQv30rg35/K6vmN9BS3Uk5UN5rAvQCdbOTof09DJqSjiRlkPy3x2l4+BEc8z5DFR+PpNcRrG9A9vsxT53Kv6ZJ7GhZz8OXPUyWsz87ltZSX5pMb88IZGWYWkMZhdNSmTSj4JD9QhI0ahp8Afa5feQauydudAZDR/YCnXJ7pHlp5ZOw7K+RPjJyCLx20Fpg+pORQOZ/hJZVIml1aFOiofTryML9X2KSBEpj5KtE9nlBBCyC8Isg9bCIRQQswjGlVBrIzfkj36wvwu9SUtaxDm1dK4PSGiCmgPg17fTTt+BXmHFGG0gO10KTh3bJjG9ILGPWGonZHkaT/zGZ/RagSjaiDyexN7WDsHcHcl0Ofif47edgdtnQaZ24YtYTCgXpdCejCQSQQ06yS/ZR6PQCEPOXa8jzraO9Yw8PZL9Lor0Pue2FnLL+EbZnduLSh0hxpZDoSSQhGIdBmcKe7HSiXvg7eX/6A9ZB6Zw/IJW9axoo29KMx+lHrVGgXLwAVWUp0q3TAbDOmIFpwkRcK5bjKykh7POhTkjEOGY02qwslr17CpcWXMrE9IkAZPSN9GEJBcMolBL9X7+Nee1wkTTtkNf22rQ4vmi2c9rGIs6Mi2Kg2YBaIbHP7eWTxg5MSgX/HZh10H6eoIf39r7HospFlNvLCckhUgpHM06XxGXaFGLVJrDlQO9TQWs65Lktp59Oy/P/ourOvxJ7800Yhg5DYdATqK3F8fnneHaWYJ1yCqq2LdD2nR0lIrNyR/cClebHvakEQTg5etaoZjFKSDg+vnplJY0VDWROfIRA2MnehnNo3zSDaFf39PcBQtQqnXRao/j4tBgGNlTTGU4gq6SKfpo1JKQUE2fuQK32EQpocLXGUv6NTFipZVDUaGJaP0JV04TaZaJNDrEzJQ6/TsMVN9+N3NpO/R/+QNbCr9CkpwPQ6mnl45KP+ffOfxP0uJm4XY8hcQr4lKitaprlZgKBAInBRML+IAMrqxh3zQ18s1ZBXYkdS6yOqBg1nn1ldHh1BDRm+o1LYexFuQdyFhzG1Quvpr6znn9N/hfplvSu5bIss6BiAXcvv5tLCy7lD8P/cNhjuEIh/lPTwrymjsgoobBMmk7DRJuFG9LjSdN1Dwo6vB3M/mo2lY5KJqRNoG9sX5SSktKOUhZXLkalUPHK1FfIjj5ME9J3eHbuovb++wns3t1tuazREHPxxcTfcTsKzf8EJeEwOGqgrZxQwM/OymZ2VbbQ4nATCkNUdDQ5eX0YMnQoer3+B8sgCMKJ097g4u0H1zHzjsEk50Qdt/OIUULCSaXRxqLXaxmX8gS18hCK3t9CR6KS6tPi2Kzz0lDp5oKmr5haq0TtHc9OQ6Q2pLBsBz51MRpNAJffiLIom01SEiGlC1khYZSUpPQ14qraxbbGxWglA9q0HDyyikAwgC0hiVl3/hFreiZhl4uW59OpuORSbFf/FuOIEZjNFjw1lcg+H397JczuyacTNsVywW8uICEhgUA4wJh3xuDz+3g86kHWSBItL39FSDWQ4Z4lRFcXEygrQ2E0Ev/Ag9Racln2TjE6k5oRZ/UGIBgMsm3bNoqLi2lra0OSJGw2G5dmXsrjjsc565OzGJwwmAxLBv6Qnx0tOyi3l3NG5hncOfTO772uRqWS32ckcIktig63H7NWRbxFd9ihxa/seoVGdyPvz3ifrKjutS+3DrmV8e+NZ+a8mey4csch9/+u5Ymp3HbbA1iqKhneWIcl5KfMaGFdRjYFiXG8FIbk/91JoYCodPyGRN566y0qKyvJyMggr18eSkmmpb6ab75ZyrrVK7hycj9iLfuHb+ujwZYF+qgfLFeXgDfS4dnrAGMs/pgsdroDNPoC6JUK+pr0xGkOnvhSEIRDk3rYMCERsAjHlwRFaxqISjAw/cYCrt9ThT2oRJFu5iPdVLZkt3HuV9CvRkf0J0+wvk8uu7ImoXUHuXjbRxS3GfCqBhHv+oT/pI5myZ3nkmjVEQ6HqNm9i/oXLsYbUqOb+keSc/NJze+LtD8pocJoJPOtN2l8/G80/f1JCAQAqJuoQNdXSfZl17OssZkzR40iLi7SPKNWqNEoNXgkD2PzxrJm2zaqM4Nc7NVhlIaiyMlBPzsBy5TJKC0WooFl7xSzcX4FQyel0fj1Pj7YOp/2kJNEOZpEXRTKGC2tDid7vtzDzNSZmEeYWdu8ll0tu1Ar1QyKH8S9w+9lZNLI781pEgrLvLa6gtfWVFDZ6u5anmzVcenIDK4Z2xuNStFtn4bOBtLN6fS29j7oeDG6A7lWqve0YYnVY4k9dPBT6vZy9c4KJtssXNP7FL7eUs/68jZa7D7i9jawr3oZ00rdXJ+XRlZUFqOTR2NQH8gds27dOmpra7nqqqvIzMzsdmy73c4//vEPnv1sc1dySdxtkdFKXgcgs7kpzBu7w2xsCtPhU2DRaxiYHs0lI9IZk6KCrx+Cbe92Df8GcKmtLEmeydPplxFQRAKVCTFm/i8nld4GMQ+ZIBwpOfzD25wIImARjju9WYPb4WewrGHdyAJe2b6HRRs3oup0YMFNOJiGpExiZLGZoZu38mKfWIqiM3iHiRAF4Edhmkp+TAk2U6TJQSEpSFdWkR5bA31nwTnnd51PDobxVToItnhAlrFdcy8J9/2JQGUZIZeLSw1ulm65l6frlxAVzGX+h++z5Om/YjTpcKVpUUX5edX7Vxa+/TmoYIRiAI6wFmNMNuEOH8GOKCStATkss3dtPQBDT0mi8enNfOPbhlcd4PLh5xJniiFQ78KzowWFQYXvggnM/e8bpJLKX866l42ff0zFts04W7axUb2b8tR08seMp//kM1CpD64JuOuDbXyypZZzBqVwz+n5xJm1tLn8LCtu5qnFxWysaOOVq4Z1Czim9Z7GzUtu5k+r/sTVhVeTaclEkiR27trH80tfRTJJDK0+g3lrtgIQnWhg1Mwseg2I63bub9qcyMici5ar/rUWvVKml8GJxjqPNsN2NIDRoWTuZuhUhDCrTdwz/A+cnX02AK2trdhsNjIzMwmGwhQ1Omly+tCrleQnmg9+0xhiwBDJdP3KynL+8vluescZOX1APHFqD21trSyvbuCqf1ezwvoAieFG6DsT8qfz904rq2v2cad3E7cXv8XNhg4aznqJNR2dPF3ZyIzNJSwdlke8VtS2CML3En1Yjg/Rh6VnWfrWXlqqnJx/vh1Pwjg+fHwTnR121IpldDREmh9kpRpCISTCyGorQf3pvBodg1mWGO1VkxoMYzdW854ljZDXjxyS6KV18PfMdQx2fgPtFZA3Dc57BdSR/g+uLU3Yvygj3BmIfNgkIAySTollUgamU5Jx2zt47Y+30NnRRkVSEKupEC1G/GEnWk8AqzoOt1oioAgxYcIEhg0ayRfPb6ex3EHvOB2FgRBOnYp13jCuDh/5oxIZqJbwVzuZZ9lCXEIcs2bN6roWwQ4fDX9dDyqJf6siw4Vjynai0evJHXkKUYnJhAJ+6kuK2LdxLQm9s7ngz4+i1h0YCVTW3MnEvy/j8XP7c8GwtIOu9+fb67jp7S38+cw+/PaUXt3WfVzyMU9sfAKH34FepUchK3GFOlHKKmbGXcjNQ29CqVDSVu9i57Jaqna1MvWafmQPie86xsp2J+dt2odlWQNZumrOT/2CdepmNvod3NHaznC/niYSMXpcROnqeclqYp5Jz8tTXmZk0kj27t3Lu+++iz4lj0/qLdTvrwhREiJH2coIdSV9+g/iwllndyt7k9PL6DlLuGJUJn+cXoDyO/2EZFnmsw/mctauW1k76X1GjhyHr6WUrL1+7ra4+b3FDdvfgx3vw9Q5MPBiWpRm+q3aSZ5Rx7Lh+Uf5rhaEXxd7s5s3/7yWs28dSGr+92e//ilEHxahx9CbNZx/3zDeuOdu7M3VqA1TUGhyUek8WNjBf/oUMHrbQowdH6E1n895zVvo0Jl43VZISGXFZ1Ejx2mxljVR7rcyq3gKN6XlcecVfaDX+K6cIJ5drbS/V4R+YBzmsamokyLDa4MtHjrX1GH/ogxJJbGxZD6yL8i1T75Mu85LSWsJDWUNBFuCKLwS3uIWbB4FZ9x9JbGxkaaiWXcNoWJ7C1W7WmFHM2ZvkJyhiWQNiSexl5WmF7ahTjSSm57LihUrSE1NZdCgQajValRRWgIE2SXXABDjcxHfK4tZ9z6IRte9o2lDaQlv3Xcb8558lHPv+0vX8kAocl9h0R/6I2vSRpY7vYGD1s3MmcnpvU5nQ8MGyu3l7FlXi7bNyi03XEKMIbprO2ucnsxCG89fv5SvXt5J9pCJXevGRJmYpW9lfiBMZZ8Uvk4+g8qy5zjX5eeT3vfzR+sA7tGF+eu8dvLVbr7stYF5zV9yzcJr2HHlDvLz8yF1II7q7UyVwuhsJjQqFZ1OB+FwmFplAl/t1nPaVD8xxgMddxvtPoJhmal9E7oFKxBpX++fHgu7YEtpHSPH6lAm9EFXsoMaUzpydipSxcrIxtGZULmappAOsNFbL5qEBOGHRT5zPaVWQwQswgkR9DmxNxYz7aY7qNq9k+rd8zBnG4nt+xFJrb/nrTOv5MbX/sq05q/wZXiZx3kkWJtw5PTHadQTFZCJarLj8sAluRqeLc4gx5HD2d9p/nBtakSTYSHmwrxuzSLqeAPRZ2fjWlNPx6eluFM6MNtiscYnEiVJ9LL2gu908Vhw3RwKokairwohx8hICgmFQqJX/1gSwmHadzRjGJrAmPNyuvYxDI6n46N9FFpTcBT0Z/78+SxcuJBoSxQhV4AOrQNZAWNGj6Ho3VdImXz6QcEKQHyvSEEqtm3utjw3wcT43DhufW8rv621M6kggTjTgSahl5eXMTAtipsmHHq0j16lZ1zqOMaljuPrjbup6+jAJB3cFBMOHfqryW7fxCzvdaw3/AVHUTTVxiFk+n0ssiYwIjODcTWP8/nWaUAShcESNg++AL76kgmuSFWKNxDizTINt5x6LuMTQzQ3NxMKhYiKiiI7O5ugysDwR79m9qvr+fSmU7rOm59kJivOyB3vb+OBGX0ZlxuLVqUkGAqzrryNR1aZ+D+pgN/V3AMLilD1nsA/TBIfbf+GpSvXMaH6C+r7XMzGqBGsLd/JO/5o+pm0PNcn45DPUxCEA3pYn1sRsAjHX9gXIrDRzpTUqzDOl+gjDSBNmUbQpaRqTxwXpb9DbE0pAMW2PDaFBiDJUGKMw9QaJqe6E0UwTKlHxaTmJfz+5jt5u3gzLywr4+yBBzLCKs1q/NUOQnYfqqjuidXC7gM1D33GT+LD//sz8/7+KMPPPo/4XlkoFAra6mvZvuhL9nSsJStnKO3/Lcb+RRnqBCPOYIhQkxu9N8zmdD0rC7SMa+rg9FgrKoWEcVgisj+MY1ElQ3w2slWjqQ614GhyI6kMDOrTj8Kpw4iKikJZW8bGzz5Go9PT99TJmKJjkMNhGstLWfPB20iSgosf/lu38kuSxIuXD+HJRcW8trqS55aWdq3TqRWcNySVu0/PR6Xs3umW9krY/UkkVf/+6QIG5U2kbIuKdx9ZT+pwI2Xq3dS761B2GLCWZSApdZz1+0HdDtPaugytNpZreil5dW8nVatl7jHr+L+kDuZv/SN+Zx+00iYKEjuozZCY/dU7DPV4eXzgrQAoJAm1UkG7T6L/IeYcKmqITCOQYOn+uqmVCl77zXBuf28b17y+EbVSwqrX4PAE8IfC9E22YP7tPKSiF2Dz67D2eWYAM4AGQwr3Z9/Ef2JnEt5TTbLGxrVpNm5Oj8fwv9dJEITD6yEBi+jDIhwX3/ZhmTXDTvNXUQTbvQTiQ+zauQyNUU+UNh5bKAmAlW0f09JZjWRSUNErg+3+vlT6U5CJ/KhopDBp/gYGtW3kjAsv4I16M98UNbP8rgmk2w6MRAnafTT/axthdxDDgDjUyUZQSAQaXHi2NQMQd21/1IlGitetYuncl+hsawVJQkJClsNo9HpGzrqIoTNmEajtxL27lU3lbVR4fLSZVbT1NtMUp6XU7WOvy0t/k55HUxL4cG0Vy4qaabd7GapQM8Ckp1+yhVFDUzDnRqPQHJhJORQMsOLtuWxZ8AXhUBC1Tk84GCAUDGKyxTL5t9eTNWTEYa+tPximuNFJu9uPRacmL9GMTn2ImZqX/w2WzgGVFhL6gVoHbeVgr6Y9dgpvdJ5PuMqCOhxpgglLIRqiS1md8in9CrJ5bOxjXSN9Ghs/Z+euW8jKeoRl3/hZX9qEXuHlOsUrLLCE+cZopFkFajTkBIOcbm/jzL5XoDp9Ttdt2kvLS3l0/l7G5sQyY0AyqdF6XL4Q68paeWd9FWkxBj66YTQGzcH3UbIss6feycbKNsrspXTKZcRaZfolJDMoYRApppQDOV/2D2vGlIA3LNNasQ59VCrRMaliZmlBOAqOVg9v/HENM34/gPQ+tuN3niP8/RYBi3BcfBuwnJbRiatYR/yNA1DHGWiqKGPz/HnU7NmBr8PN2Sk3ALBc/SnJuQX0GjCEUDjMiqUr+Fd9LA2KKPRygDi1hF+lo8EbxGbU8PcLBnBqXvxB5w27AzhX1OLZ1bJ/lBAoY3To82Mwj09FaTnQdyEcClFXspe22hrkcBhrXDwpBX1Raw/c5b9V18qdRdU8npfKJUk2lN/5wdtsdzF98U60m1tJMmk5s38SvWJN+IIhtlZ38OWOBrLiTfz3upGYdQePSHE77FTv2oGztRmlSkVsWgbJeX1Qqr6/4tNf14lrTT2+CjthVwBJp0KTasI4LBFdzv4+KUUL4J0LI/MCjb09MkMzRFJsV6zk408u4/4YC7cMuJWzE89Fo9RgjNKiUEksrlzMHcvuYELaBJ6Z+Aw+t4s9q76hyfk8yqi9hL1RSHIWaCwQrCOlZQe29iCmjngUAQtBVW+CyWehnzQZbe/uU9J/8vUGvpn/JVJLDepwAI9ST4c1jYLxk7l52sBDXqdvldvL+fOqP7OteRsQaebyBD0ATEibwAOjHsCm/58v1dZS8HZAypDvvaaCIBzM2ebl9ftWM+PmAaT3FQHLMSMClp7l24BlYqyLoNdK/E0DD3l3W/OHFQCk/nXsQeu8tU6W/nc3mxqdtBHGgEQeSsYY9cRNTMc0Ovl775hlWQYZpP2dNb2lHbjW1uOvchB2BwlbXDhyV+OJKyaobEeh0OMOZVDjOZX2cB+ijRqWaIJUhYIsHpZ3yHNk/N9CZJVE0W0T0Wu613LsbXBw+lMrGJoRzQfXjwagqtXN3NUVrC5todnpQ69R0jfZwrmDUzmtT8IP1gC4NjTQ/lEJyigtuvwYlBYtYU8AX0kHgXoXpnEpRE3rDQvug72fwa2HTgh398v9qQt7efOavZHkbv+j8LVCAOYPe5vPnpyD19VJYu9sLOleJPNewqomFEqZaHUWprq+xGnOwtg7FYVBRcjux7urlUCDC+uM3pjHRJrt1n3yPivffR2jNYrE3D6E1Tp89jaainehVKs56/Y/kt7v4OYigE5/J2d/cjZGjZHbBt/GyOSR6FV6HH4HS6uW8uSmJ0k2JvPW9LdQSPufj68TypdD/qGnOhAE4ft9G7CcefMAMnpAwCL6sAjHlSE7TOtXnbS9V4Tl1DRUCZEmhpDdh2ttA0hgmXJwB8hgi4fWF3cwOEbL+Iv6o0m3IKkVBFs9uDc1Yf+sDNkbwjIp/aB9vyVJUlceAcfiShyLq1AnGTEMSqDTsIvSwH3I4QBUZ9EaNuKTHVitS0jSz8NTU8iHJdPYFJ+Fv9DGEyW13NI7EXXDVmjYiRzwsFcZQ7RPhsTUg4IVgOy4yLw8GyvbAVi6t4nfvbkJs07F5IIEUqL0dPqDrCtr49o3NjFzUAp/P3/AYVP8hz1B2j8txTAkgeiZ2Ujf6YchyzKdK2qxzy9Hk2zCkDIY9+cv0Xbl2XjK2gm2taEwmdD37UvUlNEUuDrZIw/ltSeXEmrU4PME0RnVJPW2Yh0SuYdJUscz78k5xKVncsZNt2OOie06n6fTydrn3yS9rR/qyTYSJvfpVlbLpHTa3tmL/bMydLnRtDpqWfnOa4yYeQGjzrukWy2S22Hnw0fv5/2H7+PGV95FZzx4PqN19eto8jQx/4z5pJkPDOu2aCycnX02Hb4Ontj4BF+Wf8n03tMjNUnFCyI5egRB+FF6WguqCFiE40qfFibmwjw6Pi+jcWszqCQkSUIOhJHUCiyT0jGPPziviGtTI5JaQdz1A1FoDwQDSrMGbaYVb3E7jkWVmCekddWgHE6w1YNjcRXmSelYJqcDYXasvhSzqS8e9xUs3rOWpFAUZboERo/JwqBbQO+01zjdZ2a0N8S/6wawomMxsz5+gt7uKsJIBCUVBXKADQoV71RM5OkFFmYNzyI1Wk8wLLO9poNnvt6HUiHx4fWjCYVl7v5wO6OzbDx36eCD+ml8urWWW97dSq9YI7+flHPI5xFy+iEYxtA/rluwApHgTD8gDvv8ctxbm/FpAjQsjkNj2YW1txr18HRCAQnXno3UPria5KEXcbppMqWmCjoTGrFFW1F5dTSXmjFusTE59yKuPf005n/6F0656PJuwQqA3mSm3/CJ+BY0sXnzfM74n4BFUkio4iPBabDFQ1NdGQAjZl5wUJOXwWIlvd8AmspLaSgpInPgwc03cYZIIrt19eu6BSwQCdaK24sByI7aP0qqZCFkTz5k7ZEgCEeph7TDiIBFOO4Mg+LR94vFV2En2ORGDoMqRou2dxSKw+QVkTQK5ECYsCvQLWABkMMycujIc0WH7D4A9AUxSJJEIODA52ugV+YdvPrqRtKTCjitPAmGJpF2ag7h8CCWfvMaeXm7+WZpFvco13BJyRwqo/ry+LD7KY4uJNFg5HStm5GV87l46Rw+Xf0nxn5zLWqlRCgsE5YhNVrPv68cysC0KJzeAM1OH2f0Szpkp9KpfRMBeHVV+WEDFlWsHnWikfaPSog6KwtdbjSSSoEclvFXOej4vAxJp8R6RjKlp11C1MUXkTh7GtLuj6BpNwT9xI4bSkVZBvvKTmFgRgfy5bksrqqiyL6WUDhESr8UEoomkb1lFOZpGehMZla99yZn3HQHpugDiaO8nZ1s3PI5OaG+9JfH4NnTijYrCoVGScgVwLu7FdeaOjSZFnT5MaRF9UOhVLLg+aeYcNW13Y7VUFpCybpVqHV60voNOORzL4wt5Nycc3lozUPML5/P6OTRWLVWmt3NLK1eyt62vdw59E7yYvKgbmsk78rRzEMkCMIh7M/D0kN6joiARTghJLUi0iE0J/qHNwaMw5NwbWik8ZktGIcnok03g1pBqMWDa0sTYVeAmIvzfrB2BUCTZkEZo6P1nb0wzEBToBolaRTvnYPROISk5mzqkNllVXCJt56SfY8CkJ//At8s/YL09pV4ZQ2K8z/g7pTuKevJyIO9n3Je3TfYLn6SarcStVJBboKJgWnRXcnOzDo1Y3Ni+euCveg0Sqb0SUCnViLLMkWNTh6dvxeFBB/u7+tyyGuokLBd1Ze29/bS+vpuUEooTWrCniCyP4wqTk/c1YXIATuy349x1Cik9GGQPqzbceTVZVBWQVTZavqmPsEpqad0W1+kq2fxlj201PiYcdu9fPbUX3n5xtkkZOVgiorB0+mgoaQYFBJZlw1HXaKn9bX9MzirFBCMBJP6wliizslGkiSik1KYfsvdLHzhGV66/ipiUlLRmUw4W1twNDcRk5LGZXP+cdgOx5Ik8cCoBxiVPIoPiz/klZ2v4PQ7idHFMCh+EHcPu5thicPA2QheOyQP/MH3hSAI36+nNQmJTrfCcfHd1PxkT/5Rxwi5AjiXVOHe1hxJtQ+glND2tmKZkH7QCJTv07S9hOa3dmKVYgnLYTzaepoH/RuftRy/X0cgGINL9hNnaCWEnlrHJVTtUeELBFD5m3hI8zqK2fMhfWT3Awf98OxQ6KiEPzVFhhAfRrvLz53vb+PrvU2oJIjRK/CEJJy+EIkWHY+f159xuXGH3f9bsiwTqHfhL7cTcgVQ6FRoUs1oMi1ICglZlqm89DL85eXE33UX5smTUFoshH0+3OvXU//EUyy3XYo2OYExF+SRVhCNSq0k4AtRubOVVR+UoNapuOhPw1AoFXhdnexdtZy6ot14nA60BiOJ2bkUnHIqxqhoZFkm2OjGX9NJ2BdEaVKjybCiijr4WnhdnZSsX01jWSkBjxtDVDSpBX3pNXAoCuUhhmYfjVAA9n4emVNIEISfzNXhY+4fVjH9xv5kFsb+8A4/khglJJxUxyJg+ZYsy4RdAeSQjNKoRlIdXb8Et8POq7dfjznGxrgzriBGmwQ+maAUoNz5Obtrv0BhhlBIRWenjdbWVEIhDS2KaLS9hnLl2Gz6L7kKqtdB/nRIH0XAa8VdFCRQ70QOhFBm9UM3pBB9v9jDlq943SqWv/Uq5W0+anTJuFRG1OEAmSa46uIZ5A0b/pOu03cF29tpuP8BnIsWAaAwGAh7vRAOo+vbF8NdD7FyuZeGMjuSBGqdCr83CDKk5kcz8YoCzDG6HzjLief1NdDRvh6/vxmFUo/Z1AeLpT+SpIBdn0TmllJpfvA4giD8MJfdx9x7VjH9hv5k9j/5AYtoEhJ6PEmSUJp+/I9Q+ZaNeJ0OZj/5LwyW7rUyMfyezjdNbPjsY8ZddyumhCQ0Gg0JCQmYzd9JXX/Fp7BpLvK2d3HML8IZmIVCcqO26FCkZRLoVON+twhVXBWxV/VFZeuedr943So+e3IOWUNHcNo1M4hLz0SWZZorytg0/1M+//vDaP7wIL0O0eH0x1BFR5P6z2fw19Ti2byJYGsbCpMRfb9+aPPzkSSJWSNk2upcNJY78LoDkVFCWVaiE43HpAzHUjDYSVHxgzQ0fALIKJVGwmEvshzCYMimT9TFWNOmiGBFEH7BRMAi/OKZYiL5Ayq3b6HglFO7rQuFgjRXliPJMtm5ucSkHDxiCYj8EI64Fq/lXJyv7cYyJQPzuNRutSmBBhdNL2yj8anNJD80ulv/mq0LPie9cCBn3/mnbrlWjAOHkNF/EE9efBYfzXmAO977/Ng9cUCTmoImNeWQ6yRJwpZiwpZy8DDinmb37jtpa19DXu6DJCRMR62OJhwOYLdvorToEbbUP86IjNM4eHYmQRB+qp7SDCMCFuEXL73fAApOOZX5/3yCnUsXkd5vACqNhqI1K2koLUEOhwB47a6bSMnrw/BzzidzwOBDHstf6URh1mCZeHD+F3WiEVWsnkBNJ4TCoDjQJ0Ot1+NobiLo86HWdW9q8Xs9x/DZ/vIEg500tywiL+9hUlMu6VquUKiJNvRloPVqlrnvYPOWixkzevlJLKkg/LL0tKksRMAi/OJJksQZN91Br8HD2Ll0EevnfYDfHZlFODoxmT7jJ5HQKwt7UyN7Vi3jw0fv57Rrb6L/pNMPOpYm04Lzm2rsiyqxnJqGpD5Qw+Kv7STY7EFhUMH/5EkZfd4lvPfgH5h7540UTjiN2PRMZCJNQjuWLERrMHLRXx4/vhfiZ0qh0KFSRdHevobkpPNRKPan75dlKP6KjsQYqIf4uINfL0EQjoEe0tVVBCzCr4IkSRSMGU/BmPFs/eoLlr72Mlc8/gy21O41JQOmTOONu29m0UvPUjDm1INqQ/T5MVgmp+P4uorOVbVoUs37M/B6CTa5USUYiL2y70HDrRN6Z3PZX59mzQdvs+GzD/F7IrUqWoOR7GEjGXXexVjjE4/vRfiZUihU5Of9hV27b2PtuinExU1Fr0sl2LCZDkUzrTtWExs7iezse052UQVBOI5EwCL86vi9HpQqFYaog3PCSJKEan+QEt7fVPS/LJMz0A+Iw7OtmUCjGzkQRpsElpw29LG7kWpKQRoeSV72HTHJKUz//V3I4TBuhz2SndZsIRQK0V5fS31JEcboaMy2uB5XFXuyJSRMx2DoTVX1f2hs/By/rwmlQofJ0o+C/MdISpqJJP3EYdGCIBxSD6lgEQGL8OtTMPZUNsz7kHf+fBfDzzoPa0I2CqWGgK+dsk0raSgpZsiZM9EaDj9aRh1nQD05Azqq4NOboGhZZIVSC6FIZl1ypsKMp8GS1G1fSaHAGBWNq6Odr158hqLVKwj6fV3roxKSGHb2uRROnHpSA5dSt5ctDjcdwRA2tYqhViNpupM3CsdsLqBvnyfAUQ+tJdBr3EkriyD8GvS0+yYRsAjHVw+JzL/LHBPL2Xc9wvx/PstXLzzVbZ1Cqadg/CzGXXr5Dx8o4IXXzgI5BOe9Gsk3o7OApwOKv4LFD8Cbs+C6FaDs/lHzuV28c/9d+D0eRs66kNSCfmj0euzNTRStXs6il57F2dLMmAuPoBzHWKXHx217q1nd0QmAViHhC0deyKmxFp7ISyNOoz7h5QIiyeGq14rkcILwKyQCFuFXx9Pp5+vXG1AZZjHiPDNafQfIIUIhPY0VWsq22dm1vJ7CU1O//0BVa6C9PBKQJPU/sFwfBQMuBEkBH10N61+EUTd223XvqmU4W5r5zVMvduu7EpfRi+yhI3A77Kz96D0GTj0T4yGaro4XdyjMuVv3oUTi5b6ZTIgxY1Ip6QgEWdjq4JHSOi7ZVsaCobkoT8bt194vIG/6iT+vIPwa9bAalp80lemcOXOQJIlbb721a9lHH33E1KlTiY2NRZIktm7dekTH+vDDD+nTpw9arZY+ffrw8ccf/5SiCT1FD3vDA+xZVY/XFeSC+4ZxyvkDGXbmqQybMYmR54zmrFsGY43Ts/zdYkLBH5hg0ZQQ+X/lqoPXyTLUb438O+lQE/pJXZv1JKs7OqnxBni9f29mxEdhUkX6hUSpVVyQGMNdvRLZ0enhrbrWE1+48hWQNkIkhxOEE62HfE/96BqWDRs28NJLL9G/f/9uy10uF2PGjOH888/nmmuuOaJjrVmzhgsvvJCHH36YmTNn8vHHH3PBBRewcuVKRowY8WOLKPzMybJMVVUVJSUltLe3o1AoiIuLo6CggLi4H55z53DCIRmFBEr1wfG6JEkolEcYZSX0gRHXw4I/wJ7PaOs1hiIphMfdTGzddvKrt6IZdzdknnLQrvljxrHxs494+4+3M3ja2aT26YdGF8nVsnf1cqp2bGXkuRed0NoVgPj9M0mv6egkz9h9hJQsy+zu9ALQ13SCU7S1lIDWdFB/IEEQjh+ph91x/qiApbOzk0svvZSXX36ZRx55pNu6yy+PtLlXVFQc8fGeeuopTjvtNO69914A7r33XpYtW8ZTTz3FO++882OKKPzMeb1e3n//fUpLSzGZTMTGxhIOhykuLmbJkiWMHDmSKVOmoFAcfSVhwegkti+t5v05Gxl0WjqJWVbUGiX2Zg9F6xpob3Az8pzeKI9kzqLT51CX1Jc5255lWcU7yN82k6jAlJ3LpdFWrgsHUCu69/nQGoxc/PDfWPHOa6z75L+seu+NrnVRiUlMue739Jtw2lE/t5+qv9nAlck2/lBcw7ymDibEmLGpVTT6AyxscbDF6ebuXokMsZ7A9P1eB7SWQp7IsyIIJ4PcQ6pYflTAcuONNzJ9+nQmT558UMDyY6xZs4bbbrut27KpU6fy1FNP/eRjCz9PX331FTU1NVx00UXk5eV1jZYJBoOsX7+ehQsXYjQaGTt27FEf2xil5dy7h7Dqg32s+G8JcvjAh9Fs0zHh8nwKRh/Znbzd7+DykrmojFHc3/8uhicMw6Q1U99Zz1cVX/Gfnf+h0d3Iw2MePmhfgzWKqb+7hclX30B7fR0BnxdTtA1TjO2kjg76a24qp0SbeaOuhacrG+kMhYlSKRlqNfLugN6cGnMCJxeVZShZCP3OPXHnFAQhomdVsBx9wPLuu++yefNmNmzYcMwK0dDQQEJCQrdlCQkJNDQ0HHYfn8+Hz3dgKKjD4Thm5RFOvvLycgYNGkR+fn635SqVitGjR7Nw4UK+/vrrHxWwyLKMSRPg9CuyCCj60F7vIhQMY4zSYo3TdwsW5LCMZ3sz7q3NBBpcyMEwSqsWXXYUpjHJLG5YTKunla/O/YoE44H3cIwuhr6xfWlwN/DJvk+Y3W82va29D1kepUpNbFrGUT+P40WSJGbERzEjPgqAsCyjOFkBVPECyJ3a88ZXCsKvSc+oYDm6gKW6uppbbrmFhQsXotMd26nn//eOUpbl773LnDNnDg899NAxLYPQc6SkpLBz504KCwtJSTkweZ8sy+zatQuAIUOObmZj7549tLzwIq6VKwm7XACokpOwTptG3DXXoLQaum0vh8K0vL4LZ/VeyPSjHWTDoOqF3Aqd6xvoXFePahqE5BBN7qZuAcu3Ze30R4YGG1Tdj/1zctKCldrNYMsBrfmHtxUE4RfvqAKWTZs20dTU1O2HIhQKsXz5cp599ll8Ph9K5dFnm0xMTDyoNqWpqemgWpfvuvfee7n99tu7HjscDtLSDjPTrvCzc/rpp/PWW2/x8ssvk5SU1NWHpa6ujvb2dvr27cu0adOO+HidK1ZQfcONaFJTsV1zNZrMXsgBP55t22l/510cCxeR+fZbKGsX41jxBu7NZTg7zIQlGWVMK+XJZmrUNiySm9yCYWRPuZuOZ2oo/DiawlMKmf3VbM7JPoehiUMxq83UuyJNQmvr13Lr4FtJNB4YuhxoduPd00awNZKeX2XTo+9jQxUr5hru4qiDgBtSDj0JpSAIx9+39yo9ZTTjUQUskyZNYseOHd2WzZ49m/z8fO65554fFawAjBo1ikWLFnXrx7Jw4UJGjx592H20Wi1arfZHnU/o+cxmM9dccw179uyhpKSEjo4OJEkiOzubPn36kJmZeVT9PJr+9gTGYcNIe+FfSJoDw2KtM2YQc9WVlE4+jbKzJiFlGtkYuIj26Hzk+MjHQxEOYPtyJ3rVdu6cfT2mFjdntL/MjZZT0bjV/HvSy8zd+xqf7PuE94rei+wjKSiMLeSpU59iUsYkIFJj0/FpKa71DUhqBao4Pcjg3tyE/ctyjCOTiJqRddA8RL86QT9UrxPJ4QThJPv2O1buIRHLUQUsZrOZfv36dVtmNBqx2Wxdy9va2qiqqqKurg6AoqIiIFKLkpgYucu84oorSElJYc6cOQDccsstjBs3jscee4yzzz6bTz/9lMWLF7Ny5cqf9uyEnzWlUkm/fv0Oes/9GCGHA8PQId2ClW+p4+Mj27T5WdrvcSS5E3Pfj/jAYMPjrSDBYWOQcgyGQAF/mfsYS279DW+5z6a8z1ZeTByDQWfkhoE3cMPAG7D77LgDbqJ10ehU3ZtNnd/U4NrYSNTZWRiHJSLtH4UkB8J0rqvH/nkZCr0K65TMn/x8f9aKvoD8M092KQThV+/bm6fvDkw4mX5S4rhDmTdvHoMGDWL69Eg2yosuuohBgwbxwgsvdG1TVVVFfX191+PRo0fz7rvv8uqrr9K/f3/mzp3Le++9J3KwCMdM9EUX0f72OzT85S94du4i1Oki2N5O57JlVF41G1mpoLjwAvSeBiY/WMhztnXs0y0lr3c+Z2vzseX+k5BKhzPqZrYW3cdEz1OsVA9hxajutXxWrZUkU9JBwQqAt7gdfT8bplHJXcEKgKRWYD4l0k/HuaT6+F6Inq5sGaSPAuVJSv0vCEIXaf/XVA+pYPnpqfm/+eabbo+vuuoqrrrqqqPaB+C8887jvPPO+6nFEYRDsl13LZJWS+sLL9D+dvfcPtrcXCoeuBPvQg9aZycr338EOU5Ne+KjjDYuYOKAJqSFZby9f/sQsK1lK6TDzrKH6R8aQK9ev//BJip1ogHPjhb81U40ad07kvoqI6PcNOm/4g6mzcWgs4I58Ye3FQThuOtqEuohNSxiLiHhV0GSJGyzryL60kvw7txJoK4eSa1Gm52FpndvEsJhnmh/l9gtSUSvhntcPnI096IlSFGwF/vMf0Eyh1AP/qDrmJOjDVxs7k95xTNotHGkplzyvWWwTMnEX9tJ03Nb0WRYUCcaQIZAgwt/lRNNupnY3/z05q+fJa89Mi9T7tSTXRJBEPb7tkkoLAIWQTjxFBoNhsGD4X8GnxiVSu66+mL+9eV2mhckoQpeR/131rtVDj4f0kKdSULnhiG9r+eFwmx0ylupqPwnRUV/7hawtHha2NCwgSZ3EzqljryYPApjC4m/fgDu7S14d7fir3aCJKGy6YgZnYy+MA7pB6YF6HSV0NDwCU7nLkIhNxpNHNHRI0hKnIlKdWJqZ4obnSwvbqauw4taJZEbb2ZSQTxRhh+e40eWZZzOnTicOwgFnajVNqIsQzCUbxLJ4QShh+mqNO4Z8YoIWATB5/NRWlpKc3Mzg41hrL/JpDlk579bP6bGU41d14xLawcgKRzHTSMf4Pzcc5EkiY6OjQBER48CwBP08Nj6x/h438eE5TAGlQF/yE9QDpJuTufB0Q8ybNAwjIPij7qcFRUvUFr2d9TqKKKsQ9BoYvF66ygpeZSKiufo3/8lrJZDTbR4eHIgTKDJTdgbRGlSo4ozHHaUkssX5K4PtjF/RwM6tYLUaAO+YIiX2svQqZT8cXoBl408fAK8zs4idu++C2fnLiRJiVJpJBh0AjK26LEUBE5Fq4k9qvILgnD8SJIEkqhhEYQeYcuWLXz11Vd4vV4MBgNKpZLOzk5kWeacIacxYOwAStq2UFz2N0yhZvrEp2FW7KW45C84nbuw2zdhtQ6lf2GkU/lDax5iSdUS7hx6J9N7TydGF0MwHGRHyw6e2fwMv1v0Oz446wN6WXsdVTnt9s2Ulv2NzIzr6dXr9ygUB2ozvL4Gtmy5jI0bZ3Hq+J0olT+czyXsDmBfUIF7SxNy4MCs1AqjCtOoZMwT0pCU3fvk3//pLpYXt/DkBQM4s38ymv0dh5ucXp5eXMKfPtlJSrSeCXkHB2OBQAebt1yGVhvPwAFziY4egUKhIVi1ihb/bkoa/s327dcydMiHJ3VaAkEQulNIUo/pdSsCFuFXq7S0lE8//ZQBAwYwfvx4YmJigMjEi1u3bmXhwoWoVCrOOONsTs2YSn39B7S0LqW1dTmSpMBg6E3fPk8SHz8dhUJFIBxgQfkCbhtyG5f3ubzrPCqFikHxg3jhtBcY+uZQzv/sfDZetvGoyupw7ECSVPTqdQuK/5lIUadNJCpqBG53OZ2dRVitA7/3WHIwTPNLOwjafZgnpKHLiUahVxFy+PDsasWxpJpAiwfbRd2nRVi8p5HfntKLWYNTuy2PN+t45Jx+vLWuitmvbqDir9MPOmdb20oCgTaGD/8MnXZ/p1p7LaqwTGL2NXiUPsrK/0FT8wIS4s84qmsjCMJxpIBw+Ic3OxGO+bBmQfi52L17N7GxsZxzzjldwQqATqdj5MiRyLLMunXrAFAqdaSmXsbAAf9h1MiFjByxgP6Fz5OYeDYKRSTuV0kqbDobGxs24g/5DzrftqZtAEzvffAP+g+Jih6BLIfYW/QnAoGObuuczt20tS5HodBiNvf9wWN5i9oJNLiIu7oQy8R0NGlmVLF6tL2jiJqRhXlsCp6tzXhLu58nO97Egp0NNDq8Bx1zyd4mAC4YmnrQOgCtLjKZZGvL0siCoA9qNkDmKchyiM7OvQCYjHk/WH5BEE6ccFDG3uw+2cUARA2L8CsWHR3Ntm3bqK6uJj09vds6l8t11NkdJUniz6P+zO3f3M6Mj2cwOWMyqeZU3AE3W5q2sLxmOSOTRvKnEX866rKaTfn0KXiMvUUP0NDwKSZTPiqVGa+3Do+nAoMhi+EDPz+o9uWQ9nfslQOhQ66Wg5Hbqe/migF4dGYhl/1nHeMeX8q43Dh6xxrxBcNsqWpnW42dSfnxPHJO4SGPabUMJjn5IvYW/Yn6hk+ICUajThqBb9/jNLd8jdtdSl7uQxiNh54gUhCEk6dsSzNjL8g92cVAkntKzt2fyOFwYLVasdvtWCyWk12cX72lb+2lpcrJ+efbIXvyyS7OIfn9ft58802qqqrIysoiJSUFpVJJS0sLRUVFqFQqrrjiiq4MzUeqtKOU13a9xrr6dTR5IqOEcqNzOTPrTGZmz0Sl+PH3CX5/C41N8w8aJRRrm3hkwQogh2SaX9pOoK4T44gktDlRkSYhux/v7lbcW5swjkgi+pzsg/a1uwO8vb6K5cXN1Ns9qJUKchPMzBiQzJQ+CSi+Z1oBWZZpbllI3b4XcASqCYVdqNUxREUNIy31SqzWQT/6ugiCcHw897sljDirF0OnHV2/u6NxpL/fImARjoufQ8ACEAwG2bpmDbtLSmjp6CAUCmG1WsnOzmb48OGYTKZu2wd8IfyeIFqDCpXmyObO8oV8LKxYyPqG9TS7m9EqteTH5HNGrzPItGYeh2d1gN/fSod9I35fC0qlAbO5D0ZjLnIgjHNJNa4NDYRdga7tVTYdplNSMI5I6jZaKBwO097ejsfjQa/XEx0djUJxoAZGDss427z4vSH0ZjVG62Hm+WraCyEfJB3daCZBEE6Ol25ZxvAZvRg4Of2HN/6RjvT3WzQJCb9K/poaWp57HufXX2N0OBgGKMxmzBMnEHvBBWgyDgzPDYdldi2vZefyWtrqXJGFEsSlmSk8NZX8UYmHHdlSbi/nxq9vpNpZTUFMASmmFNxBN2/seYMXtr/ATQNv4pr+1xx5wWUZypdB8VfQXhlJlBCbC33OguQDNRTBoIuSkkeob/gQWQ4hSUpkOdIEZDYXUpA/B+vpBVimZBCy+3B1OPEqghhtZoxGY9fzCQaDrFixgo0bN+JyubqObzAYGDJkCKNGjGHbohp2r6rH23kg8LHG6xk4KY2+Y1MOBD6eDuiogtwpR/58BUEQ9hMBi/Cr4yspoeKSS1EYDMRcdhna/DyQJHxFxXR89CHOWeeS8eYb6AoKkGWZRf/Zxb7NTeQMiWfg5HT0ZjVuh5+K7S0seX0PTRUOxl9y6M6i9yy/B7VCzadnf0rvqAP9M3whHy9ue5FntjxDiimFab2n/XDBvQ747+VQ9g1Y0yEuD+QQbHkDVj4JAy+DGU+DUsXu3XfQ1r6a7Kw/EJ8wDa0mgVDITVv7Gkr2PcHGTReTnfI+lfXNbNm2idbW1q7TREVFMXToUEaOHMl///tfSktLGTp0KLm5uRiNRlwuF/v27WP1qjUUf+lH4dfTb1wKqfkxaI0qXO0+Src0s+ydYtoa3Iy7MDcyzGDfYpEcThB+bnpQlgERsAi/Oi3/+hcqm43M9/+L0vyd7LCnnUbMVVdRPHQo5TNnUbB3D02VTvZtauK03/Yhd1j3vix9xiSz/vNyNnxeTmb/WDL62bqt94V87Gnbw4OjHuwWrABolVpuHnQzL+94mXtW3HNkAcui+6F2C1z6QaSZ7dtanXAItr4N824CnYXApHtobllEfv6jpCRfCMDu1t3MXf4OyvVJpHb+jvyZd7Bl1xVs3jIVizKZiaNPJz03Ebfbzb59+1iyZAklJSVUVlZy/vnn07dv99FHWVlZaH02ds13kDtdw5gZOQdW9oKswfFo9Sp2LK0hf2Qi8Z4VkHv6d1JnCoIgHB0xrFn41Ql1dqK02VD8T/8UAIXR0O2x3xsEwBJ76GRsRmskgZvL7jtonVappY+tD3N3zaWkvaTbOm/Qy1ObnwLgifFPHFnBq9ZA4bmQc1r3H36FEgbvz/uy9nmUSj1KpRG7fQuyHGJFzQpufecO0haOoXdHApnRXwDQbo/F72nA29jA9g+bke1G+vTpw1lnncXMmTOprKwEOGxz17e5GQ7Xh1i5f5RRqG43xOWD9uDrLQhCz9dTerqKGhbhVyf6kkuo+d31VP/ud9iuvBJt3rdNQkW0vfkWACnPPA1Ack4UthQTXzy3naHTMsnoa0NnOtAktOnLCpKyrRSMSjrkuR4f9zg3fX0Ts+bNIic6hxRTCp6Ah52tO/EGvdw25DamZh7hhH+pw2DnR9DnHOg9/sDycBh27p+UcchsFAotuTl/Ys/e+3A6trOlqoXrm/oSTJ9PtG05ZDmx11goLx9ETPM+JHcNPjby6d838vtX70ehVKLXRwK0mJgYPvzwQyorK8nNzcVkMuFyuSgpKWHDjo3Y9EMpXazCIlWQmvedJqGtzexaVkveYDNJyQGwZf2o10oQhJNLoZB6zGzNYpSQcFwsfXMvLdU9d5SQc8kSGh97jEBlVbfl6tRU4u+6C8vUAx1DPU4/K/5bwr5NTd0+uAqVRP7IJMacm41Gf/jYPxAKsLhqMevq19Hsae6aDPGMzDNIs6QdeaE97fDupVC5CmzZkVoLOQz128BRC/3Og5kvgDIyvLnDvomqyn/TXLkQjCCHlLhbNOilUQw99X4+m7+IqspKsvbsoc46kLB7I+r+Y6k3JqNtLUHWmskbeyZx7gq2bdmE230geZRer2fo0KEMHzKKjZ9VUrS+kdB3UvzrzWr6j09icOYuFP3OPvLnKAhCj/KfO1Yw8LQ0hpyeedzOIYY1CyfVkjf20Fbn4rxzO3pkwAKRvCD+ffvwV1YiyzKa9Ay0OdlIikO3lHpdAZqrnPjcQXQmNfHp5u8NVI6LcBj2Ldo/Sqgi0hxky4mMEkof2W3TkCuA/bPddK6tRtIbQVYSlsMEY/UwIoa9mipWLluGrlOJrDzwNRBGgcecSqm6F1vr3cQYNTx/6WCyLOB2u9Hr9cTExKBQKJBlmardbRStbaC5ykEwIGOO1pI5IJa+tk1oB54FSlGRKwg/Vz0pYBHfJMJxIcs9v3+lJEloc3LQ5uT88MaAzqgmrSDmhzf8H7Is41q9ms6vv8ZfUdEVHJknTsA4btzRTfanUEDu1Mjf9wi5AjQ9v5WwK0CodTtOqYFl8QrS7dH0Dp5C1Bc+/G4FqYFTMTvL2Gi2k+LfhBQKcevLb6DRRPrm1HV4uOGtzVzw4lq23n8aabYDHYvDYZnFr+yiZGMTthQjybnRqNQK7E0e1n9ayjZjLGclerGliL4rgvBzJdNz6jREwCIcH7IsZt0Fwh4PNbfeimvZctQZ6ejyC0CScG/YQMd772EYOZLUZ59FaTIe1XF3d3p4p76VrQ4PjlCIWLWK4VYjlyXbSNFpcK2rJ+wMkHDrYPwVOgI33sT4bS7W5aezz7GBmek3M8xoYOP6B+jIzSKpowWT2chFf3msK1gBSI7Sc/7QVLZWd/DZtjouH5XZta5obT0lm5qYcnVfsofEH3i9m/bQ2R7DW8/beffh9dzw/IRuSegEQfgZkQ/f8f5EEwGLIBxHLS+8iHvdelKffx7ThFO7ffA7V62i+rdXU3PzTWS8+uoRH/NfVU38pbSOBI2aMdEmotVK6n0BXqlt4YXqJv7VJ5NR/hCSRoHCpMYweDBZC77E/umnWNdvYF9LPeH9SeRqM+LQWwzsopCzCwJYF/wWWoogHARrGu70U1laMQpQMa2we8fi1joX5mhd92DF0w72Gkx5p2Ewr8bhO/R8RYIgCEdLBCzCcfPL6B3103i2b8M4ejTmiRMOWmcaMwYA95q1R3y8vS4PD5XWcUNaPPf2TkL9nZqLzmCI2TvLuWpnOev790K5up7mf23DfGoamgwz1lkXYRx/DpZNjbjWN2A5LYMbJ70HPicz/3U65rbdLG0bQqtlJiqtDktnBcM2vsGT0utUzHoLm6l7uv2Mfja2La5m+bvFDD+zF3qjCvZ9TbhgJuWbm3B1+EnvE9OjEk8JgvDzJQIWQTiODMOG0fqvF+j45BOsM2YgKSPzD8nhMM6vvgLAMn36ER9vb6cXgOvT47oFKwAmlZLTbBZWtHeyUgpy3nX96fislLZ39nbbTmFUY53RG9Po5MiCdS8S7Sqj7bIFlNXFsq2mA6c3SLRNQ3vKfVy4ZCz9558Dw+3djpOWH8P4i3NZ9cE+di2vxRoVRmVIxfGflfi9ITL62Zg8u0+PqU4WBOHoyTI95qZDBCzC8SF+pACIvfpq/OUV1P/hXpr+9gTa3BwkScJbUkKouQXzaaeR9H+PHPHxRkaZ0CsU3Ly7ir/mpZKpj9R6yLLMVqeH1+taMSoVnJsQjUahIP53Awh2eAk0uiEYRmnVok4yISm/8/rYa8CSQkzWMK7LOcQIqaWKyPDpQ+g3PpWsIfGUL91AW4eWkNJM9jAtaQUxxGeI0XqC8LMny0g9JGIRAYtwHIk2IUmjIeVvjxNzxeU4F3+Nv7ISZJmoc87BNHEihkGDfvgg35GoVfNaYS9u3FPJyLV7yNBpiFaraPAFaPAHyDFomT8kF+13hmaronSoonSHPWao7zl8UfRfvnhrLMVqBT45RIIhgZGx/bnMJ5EiKWHUjYfdXx9soE9/BWQMParnIghCzyeDqGERhF+0cAiq10HDTgh60JuT0P/2ArAkH/EhXMEQe11enKEQcRo1eQYdKoXEuBgz60b2YWGLna1ON53BMONjzAy3GhljNbKqpIWPKsppcfox61QUpliZ0jcBs0590DkC4QA3l73LqjgbIz3tnN/aiU5SUaNuYX5rER9KEs8OnMXwSQ8cupABL9RtjeSBEQThl6cHpagQAYtw3PxqO92WL4d5N0cSuyk1oNKDzw5IMPASmPY30Bx+GHOzP8BD++r4tKmDwHcuYrRKydWpcfw+IwGDUsE5CdGckxDdtX5fk5Mzn1nJvqZOUqL0JFi0OLxBXltTgfULNU+cN4DJfRK6nevzfZ+xtXw1L576FKMyxyBVrIyMEgr5udOUwJlFL/Hb9jV84vXTHvRjVCrIMmjRfFuDU/RFZKoAQRB+kXrS17gIWITjQg7LKJQnPiyXZRmPpwKvtx6FUovRkINafQL7UrSUwJvnQdpwmPUypAyJZKN1t8HOD2HxgxDwwPmHHsbsCoU4Z/M+OoIh7uudxNhoExZVZNjyF812/lHZQIXXxz8LMrrtFwrLXPP6JlQKiXk3jaF/alTXunq7h/s/3cXVr29k8e3jyY43EaitpeWFF+n91ee86gjA32+ixGbDPHEisdf/DnVyMjpZJlz6HtDKmLU70QbCqIIBJKOJWclx3EsJ0b3GR56fIAi/TD0op5YIWITjIhySUZzAZGGyLFNX9x4VFc/h9dV9Z42C2NiJ5GTfh8GQcdj9j5ndn4JKC5d+AOrv9BsxxMDwa2DXJ7Dro0gtizH2oN0XtTgo9fhYOSKfbMOB/dP1WkZEmfDLMnNrW5idEstgy4Fampp2N+UtLl69ali3YAUgyarnyQsGUPjgQu54fxv/nRJPxaWXIWk1aM4+g2cc88iLyWNqMB/nl0txLFxI/NyXuKF5DR32Ok6pH0DB2n8RaGuJHFChpC4xnWuGjeWN7BgOPY+1IAi/CD2oikUELMJxEQ7JJzS7aUXl85SVPUliwtkkJp6DXp9BKOzB3rGJyqqX2bjpPIYP/wydNvH4FsSaCj4nVK2GrInd1wW80NkQ+bfacMjdNfuvmT1w6IRrnlBktI7+f+Y7SrDoiDaombu6gsHp0VgNB/qrBEJhnltaCsDvJ2bT/OwcVDExZP73PZQWCxdVT+Eva/7CfzyfEjfbwHN/c9Aw80J2361h1sZsopxu+oyfRGpBPzR6A/bacrYs/5rkT1/nL34Pc6668qgvkyAIPw+i063wixdpEjr0JILH/FyyTGXlS6Sl/YbcnD92W2c25ZOQMI3lK4ayceO5nDJm1fEtTL9zYcf78MasyKSP6SNBY4KOStg9D1xNcPG7oDl0wHKazcoQi4Hztu7jsmQbY6PNWFVKKjrdfNHUwUK7m+vT4igwda/X0KmVPH3RIG54azOj/vo1o7NsJFp12D1B1pa10tLp4w9n5DOpIIFKhx1VUiIKsxmA8WnjWZC8gPUN6ylpKwYeByDe8xtMbYu5aM5TJPTKipwoHAJ1JZrxT/LvP99F6pfv4zl3JnqzGMIsCL9IotOt8EsXPsF9WBQKDaFgJ/Ih2ltDIQ8AanXU8S+IUg2X/Be2vg3b34M1z0b6rJgTIXtSZHhwXN5hd1crJP47MItnKpt4u66Vl2tautZFuxycWr2PqB2drB46lBEjRiBJQdzuCkIhD8PT41lyx3j+u7GadeVtbKnqwKhScmZ+AheOSCc/1Ro5zoUXUXvrrdTecisxV16BNi8PBTCoXkvGa1twAinPPM24hkaCCiWPtnqYbraTrFXTUbqSVcbh/HtrKbP0kaArGPAfzysqCMJJFJn8sGdELCJgEY6LcEhGpT4xNSySJNG7160UFd+P11u7v0konVDIg92+mZraN9HpUhg86M0TUh4UShh8eeTv+8gy1G6GsqXgrAeVDhL6Ysw7g3t7J1GwYz0rd+0hIz+fgb0ySU5PwZ0Rzb59+1j6zWe0tT+F0bibcNjTdUi9Lp1zsq/mstAYPJuaCHX4oKoDNnXQlGbBPD4Vy+lTkf/+BE1P/J3KSy/rViRVUhIp/3gSy5Qp3NrexsvL5hP18hM8Nmg81cmZ+NUmkty7uLKuGENVCYWTT8ccc3BfHEEQfiF+KTUsc+bM4b777uOWW27hqaeeAiLV8w899BAvvfQS7e3tjBgxgueee46+ffse9jhz585l9uzZBy33eDzodIdPeCX0XHI4jHQCR4+kpl6KVptARcVz7N5zV9dypdJEQsKZ9O59G2p19Pcc4djZ1bqLL8q+oLitGG/IS7whnhGJI5iRNQPDt31XXK3w4W+g7BvQWiEqHQIuWPMcaIy0jn2ErVsqOX/8FPIDyQR2uJGDHqItWjKyBhIV/QQ+Xztq1TkU5M3A7w4SCDfj6FxG0b77iameQWbejWh7RyHplIQ6fHi2NdP6+m6s03phnT4dy+mn07l8M85l2wm2epH0cahTswgHogg0ujAnxDD7kSf4+j//wrL0w27PUaM3MGTmBYycddEJuaaCIJwkv4ROtxs2bOCll16if//+3ZY//vjjPPnkk8ydO5fc3FweeeQRTjvtNIqKijDvbzM/FIvFQlFRUbdlIlj5+TrRTUIAcXGTiYubTCDgwOdvRKnQotOlIEknJnCSZZknNz3J3F1ziTfEMyBuAImqRGo6a/jr+r/y8o6XeX7y8+RG58In10eSyl30DuROPTA02NkIXz9E4OtHgMsJLm7ApZVQp5pRqBUEajqpq59PuE8TW7echdmnZP1zc5DDkc642bbBJIzvT1vmZxSMvgedLq6rfMbhibS8shP7/HIMA+Jwb2/BvtCL0lqI+dRoFEYVIWcA984WOtfWET0zh+hhKZx3zx/p3PwpzdocAj4vpugY4jOzUGk0J+S6CoJw8shwQgdQfJ8fFbB0dnZy6aWX8vLLL/PIIwfmQZFlmaeeeoo//vGPzJo1C4DXXnuNhIQE3n77ba677rrDHlOSJBITj/MIDuGEOdHDmr9Lrbac2Nwr+62oXcHcXXO5c+idXFZwGcrv1DDVdtZy6ReXcu68c9l86UbU+xbB1Echf1r3g5gT4Kxnid8STZpcw1KtEvsgDxp9Cy2ttbSoZDSaBnojo5VVGH0exlx1HdFJKQQDPpxr6vCwHQCP04FOl0TYF8S7pw1/vYtgW2TyRPeOFuxflGEam4L19F7d5haSg2Ha3i+m/cMSNKkm1K1fYRp2PiaRb0UQfn16UAbQHxWw3HjjjUyfPp3Jkyd3C1jKy8tpaGhgypQpXcu0Wi3jx49n9erV3xuwdHZ2kpGRQSgUYuDAgTz88MMMOsp5VoSeIxw6OYnjTqZdrbuwaq1c0eeKgzr+pphSyI7KprWhFUegE0tcHgt2vs4qdxH1vnbUCjW9rZmcpkwgeumn1DdnkGzagpzsYE9xPckpRVitjcTFeQiFlMiyRJ8hn1BfV4gmPURMqhavtwW36hvcrTsw7ZvMus8+Ycx5l+FYVInsDSHplMjeECgl7J+XAaDrF9t9IkRAUinQ94nBs60Zz8oNqKedKpLDCcKvkCzLyDI95rv8qAOWd999l82bN7Nhw4aD1jU0RHJMJCR0T/+dkJBAZWXlYY+Zn5/P3LlzKSwsxOFw8PTTTzNmzBi2bdtGTk7OIffx+Xz4fL6uxw6H42ifinAcyWH5oB/CX7oRiSN4fuvzzFk/h5sH3YxZE2kClWWZrc1b2dO2h2RjMr6Qjwvio9jnqqXvvgVk6mIJILOsZjXvqJTMMLh4ML4NDTIheymVqTr2aqJpK41F9ieQkAMKYwUKKUxq2lbq67dQXx8pg06XRu/EP9L0iUQ/Qzb2z8oOFFAG88Q0zBPS8O5uo+2dvbT+Zwex1/ZHk2JCkiRkWcZf5cTxdTWSVsI8Og6MtpNwNQVBONnCoUjtirKHfJcfVcBSXV3NLbfcwsKFC7+3f8n/3l0eaqjpd40cOZKRI0d2PR4zZgyDBw/mn//8J88888wh95kzZw4PPfTQ0RRfOIHC4ZPXJHSyDE4YzH0j7uNvG/7GB8UfkBudi0FtoMZZQ72rnoKYAp6Z+Az3r3qIeo+PmLa7Wd8YTVBdwtS07ZRaxxPWWHkj3sPSlGbOrd5In6VVpHzWRqYrSKbUAiYZtT5Iwx1h/CYFEjKNDb0pKD0LlddCh93NEvcqXAE7F45/gOBWB9Hn56KM0qJJNiGpFPjCYVamaIhL1BHX4KX52a2EDSo0Jg3hTj9hdxBVnJb4M31IKf1O9mUVBOEkCQUjfeMUqhMz4vOHHFXAsmnTJpqamhgyZEjXslAoxPLly3n22We7Os02NDSQlJTUtU1TU9NBtS7fR6FQMGzYMEpKSg67zb333svtt9/e9djhcJCWlnY0T0c4jk5mH5aT6eL8i5mUPolFlYsoaivCG/LSJ6YPI5NHMippFE1OP2trthJ2jKB/fBrKhL1stw1mrWostAVQOAMowsWYVmmZtHAbeqUfOdPLxjgjLZKSlMYgffapMM9RIF/rpi1Di9XcwJKdX3WVQbJlYO93NiuRGBEIE/YE0RfGIkkS37Q5uHVPNe5OP286IvlT7hmsp7c9RIFSYkK/RGIzLWg9S5H6n3uyLqMgCD1AOPhtDcvPMGCZNGkSO3bs6LZs9uzZ5Ofnc88999C7d28SExNZtGhRV/8Tv9/PsmXLeOyxx474PLIss3XrVgoLCw+7jVarRavVHk3xhRPo19gkBFDe4uKVlU2sKk2h0W5Dp1aSn2QmQ0qBJAXPLtmH5MvBELuGNcElOFP+QZrHw5ubbsTlDnG2ZTohdzY3r30fs8XDqxdY+CxKjTUcQvYaaJcTSB9h58k3GqmZa8J9c4CKBakkJ4/DrfBTr/OiU5kY4taxtHMnuhiJAR+DffFOSFSy0yfxaNhEYZMfhUIi9nf9mZtuYWGrnbuKqnlHH+Sz0GroM73nJF8QBOGkCIW+rWHpGd8FRxWwmM1m+vXrXkVsNBqx2Wxdy2+99VYeffRRcnJyyMnJ4dFHH8VgMHDJJZd07XPFFVeQkpLCnDlzAHjooYcYOXIkOTk5OBwOnnnmGbZu3cpzzz33U5+fcJKEfoU1LMuKm7n29Y1Y9WpO75dIeowBtz/Ehoo27vpgO59vr0ejVNCLy6mU70GWNHiVNgLOj/hDdJiyJAXa4Bo62yaQ4W7E3ivIvGg/XsssRqGk2Nqbvv5GNizNBe4mtVHiMqeei5wKiqNy2KrSEkxWM6X5MwYH53JWeT1hwKsegNc1gcC+3pyHFoVyH7o0NcbzzkJpi2S/nR4XxYIWO+83tLMjsQ+FajGloSD82nU1CfWQm89jnun27rvvxuPxcMMNN3Qljlu4cGG3HCxVVVUovjN5W0dHB9deey0NDQ1YrVYGDRrE8uXLGT58+LEunnCCyL+yUUKyLHPfRzsY0dvGi5cNQa/pPqpmeXEzV7yynrE5sWyt9KOxnsfkAV6+8dVTHz0WbVslQ5oqmeG18wc62ZSZx8i9u7h8WZidw5OpU8UR29mMq9zMA+vnIgOvnR/Cr1Dx+WnnEWWvoldNMY27bFxqK8EX/i01cjZSWIustNNpLaXZsoB+rSvQqzQoqny03flPPIqBhOwOMJvIik0medg40k8R/VYEQQA5Eq/0mJtPSZZ70CDrn8DhcGC1WrHb7VgsYiK2k23uH1bRZ0wSwwvKIpMA/sKFwjK5f/qSe8/I5+qxvQ9a7w+Gyf3TlwA8deFA7v1kAx6fmrBOQWCQDdmiQfIEyfDWEaiHthqJ20pfJb/FituYTlCtR+13EtVRSoJrG94RLn4zMhZFSINCezMdllQ6jSbuXb+LGJcHu6oDY9hOUBnApTEz2l1IXCCaJclfcO7216laF4daDhDqFcOezFE4W1opKN6N2ecl+cEHiDrvvBN9CQVB6GE6mty8df9azrltECl5xy9T+JH+fou5hITj4mRkuj2ZlAqJ6YVJ/GNRMVqVgrMGpmDVqwmHZXbW2fnbV0WolRJf/H4suQlmpvSN408P/YnKjiDb9urxKU9FjveSoK0l0eWkOmUQAfsNFMdIeJX1KEJu1PSiJnUS6zTNfJH/Ctqgm0nV41GnbKTZXUFUo0RryE+bRovKWYLFEKImlIrfF+Yt9W6mkMFpdWdRunM9HX2sjMteztrEDF4ceR2jgnWcmjsQzT/+Tv2f/ow2Nxf9/2SxFgTh10UOR+ozftaZbgXhh8gheX+fzZ7xRj8R/npuIX/6ROL+ebv486e7iDao8QRCeANhkq06/nPlMHITIk2jBo2GCwYPZu3H73H1mbPYofIyb4OC7a2pjHUsol94MPuS1AS867C52ylNXE9HlBK9P5bhledwwfZ7aFN/iGzwEq6zEk2AsNrAue5BXDg+gaceX8rg1L1EZTr5qmUsG2IH09xZDdoMiguGUuveS1PjUIaeeS8Lo6ohZTAYovFecQX2Dz6kbe5rpDz595N8RQVBOJm+bX/pKf3vRcAiHBeRPCyA4tfzFjNoVDx5wUDunJLHmtJW6tocqENeshOsjOuXgUbd/VoMmTGT+n1F7H75PeJT07mvVxaehDC17QkoJAV742vYlj8FoyfE1F2pZDc1YizfhcXQRggNo5UzyURFlaeeZfoiTC43SqWJJzd7ePG3D3Pjxn8xxDcfp9MBsVBm9THOXUVS8VKiLHra0gfwyVN/Z9zZ0xiWM5lAbS1Njz0OQPxdd56MSygIQg/ybY8RUcMi/KKFQ2EUhH9VAcu3nI1VtG1eTmttLQANwPovNfTt25eJEyd2dUBXa7QM+u0dbDUtoGLXRjQb9qJEJlaRilErc3nnbiY0LmGrfxiDdAsI1rnxhHS47Z8DsM2ppFSXQy/TKaAHjwZWUsJwRy+e3hHGq59NgzQTbWobUMlYh5V/ZD/DiNprKNj5BmnlSwnnp7P80/lo356Pel8pypgY0l/5D+rv5FESBOFX6tserj0jXhEBi3B8RGpYZFCqT3ZRTqhNmzbx2Wef0atXL8455xxiYmIIBAJUV1ezYcMGSktLufbaazGZTKwta2X2qxuw6KOYfsYV9Io14AuGaX3zNWLy3qet+FxMFQEmGVfjqAKFKh6VbhCoogn3WUtcaAcNu0JsbS0FUz46lYE6ZRVvapoJyVpMUhil1AmE6VNSxTblBvqlz6LdnEfVJU8wIXoRxVsqoa0JVf9Ckq+5BvPkySiMxpN9GQVB6AG+rWHpKaOERMAiHBeRPizhX92keUuXLmXAgAGcc8453aajyMrKYvDgwTz55JO8+uqr3HzzzTw4bxeFKVbm/mYYBk3koyjLMk+/uANbwW4C4SiksJLWndVIyiRU1km49Z14dfUoW2KR4/rT74Jl7Jybh7lsB31s0zBFJfDfmA5Cfie6NjdFKhuVIQs6/y5ipRl4dw/C4thL/Mevs3bYACoc7eSNHkefW+4+WZdMEIQe6tthzd83tc6JJAIW4ZiTw/tn+JTk49YkZG/2ULG9hY4mN8hgjdeTWRhLVILhuJzvSIVCIbRa7SE/4CpV5Fp4PB4Ampw+Ts2L7wpWIPLFYLBaCbb1JrH/RyikMC3FBUihdCyuMGMNsZT6vVQE7LjLFCj7hrv2TYkppN6g4P3BvVnyyF3IIQUVigRuHHERb2ZcyOzquWDfTjPQnBGLoqGabI2Jqb+75bheE0EQfp66sp70jHhFBCzCsRf+thpROvZ9WMJhmVUflLB9aQ1KlYKoeD0gsXdNPas+2Ee/cSmMvTAHxTGc+0KWZVpaFlFf/xHOzt2EQh60mjiiokeQlnolBkNm17Zjxoxh8eLFuN1uBgwY0K1JaPXq1ej1eq677joAZg1K4T8ryzBolJw/NJVEi46wDL3OvJTtbzyFbWQ8qX3rSRlcS/U3Mvawn80doxhgSiXHpKEy6gtK5mUiSQomJl6CI1bL7fkq7stKps+SxbjWrcfz28i5gnoj1/3rNZp2rsZvb8GYNRTtpq20/t+juL78kqhzzjlm10sQhF8GMUpI+MWT909JLh2HgGXb19XsWFrDmHOz6TsuBfX+jLLBQIjdK+tZ8V4xGr2KUTOzuvbxBD0sqlzE5ppVtLUWYwp46aswMbE1GVWbhaBPicJkRN+3L6YJE1DoD6Sll+Uwu3ffRUPjJ1gsg0iIPxOVyoTHW0tT05fU1b1LYb/niI2dCEQCFoPBwPLly9m5c2fXcSRJIicnh6lTp2K1RtLh33NGPkqFxLNL9vHkomJ0agXBkEwwLNMn+zLOtRdR+slW0gcUkXlaDXXrfbTb6/nGceB6KC2J6GyD0K96if+4xnHmkEuZYTCyt8HBupoAL43/PWYVzL9tPCaTjClOgnGzAWhZuTZyjO9koRYEQfhW1yihHhKxiIBFOObCoeNXw1K5s5WMwlgGTk7vtlylVtJ/Qior3itm81eVXQHLjuYd3PrNrTS7m8j1B4gPhnB26oidF6SjeSchfRhjtImQFE3bf15BabOR/NhjmE4ZA0BLyxIaGj+hb59/kJh4VrdzhkJ/ZuOmc9m2/RrGj9uKSmVGkiQGDx7MoEGDaGtrw+FwoFKpiI2NRa/vPj+PWqng3mkFXH9qFmvL2qjr8KBWKchLMDM4PQrV/loi185dlF13Ln1vyMKXnYbHHkZvSEORPp4atZmYhx8k7KynMTaX9V8U894XxUDkrmiEDn6z6O+oWIsjQ4VqwBkEv/wS59KlOD77HOs552CeNOmYvkaCIPxCiFFCwi9dOHz8AhZbipG9axpoKLOT2NvabV1TZaTqITox0o/FH/Jz69JbSVRomVtdR9qw3yGPvpWy868gZJKZd1UyrynX80FdFXl5g/EPe4WGhx+h+uqryVq8CE1qKh5vNQqFhri4KQeVRanUYTD0prNzL15fAybVgZoKSZKw2WzYbDa8gRB1HR7kzk5SovTo1N07IkcZNJzeL/GQz1cOy4QSe2M+/Wo8D/8HU1YWiaeMQRntJbjkTfTLlhGoryfxoYd474LzqWpzU9vhQatSkB1nxqKSaX0tSMcbc+loagPeBUCTmUnCffcRfcnFP/q1EAThl+1Ak1DPiFhEwCIcc8ezhmX4mb1oLHfw4eObSOxtJTbVBBK01nZSv89OXLqZGb8fAEC1s5omTxP/ZywkzZYPU/+PQEUF/ooK0l56kd8OL+S198bxt5go/r3jv2jOfZmUJ/5G8YiR1N11N5nvvE2sbQKlpY+zffu1ZGf/AZOpAEmSCIV8NDd/RVvbamKix2Ay5hxU1r0NDp74qohlxc0E9l8TlUJiXG4cd07Jo0/y4efMCPhDbJxfwZ5VdXicAWAwUQPNZLSuJebLr1EFPSijozGOHkX0JZegKygAIMNmJMPWfVhy7JkjiD37FILKeEJ2B8roKFTRx29eEEEQfhkONAmd5ILsJwIW4Zj7NmCRCB3zgEVrUDPrzsGUbGyifFsz9WX2rlFCk64sIGd4Asr9TSmp5lRidDG8HG4lu7WE2JJFqFJPQWGx0PL227wZsAFwU3sHAHIwSOvcuQDYrv4tAAZDJgP6/5vde+5h/YYZqFRmlEojfn8rshwgNnYSfQoeO6ic26o7uPClNaRE6bn3jAIKkixIEuytd/DWuirOeX4V7147ksHpBwcO4bDMZ89spbnSSd9xKaT1iUFnVOPqKKR821i+WdtA/qgkJl5R8MMXrLMZ3C2QNREVoLLZjv6iC4Lw6yT6sAi/dOFQZKitUgoel8RxCqWCvBGJ5I04dDPKt7RKLU+Mf4Lblt7OpKQs+i2+jRStlpgzNJz+0TJOXwOnJQdJMsVRlzIB12lTCNbXE3frLd36dcTEjGH0qKW0t6/B2bmHUMiNVhNHdPRIjMbsQ577+W/2kWkz8smNY7o1AY3sbePiEenk/WkBs55fTcVfpx+0b+3edur32Q85Q2rvgXEYrFo2L6gkZ3gCafkxh78AoSBULId+537vdRIEQTiUb/OwiD4swi9WV5MQ4ZOa6XZtWSvPfyPTVHYv/qDMKkCn7uD/2bvv8Kiq9IHj3+ktmUnvvZBKCb1JURApCtgbYm+4urr7s+3q6lrQ1XXVXZe1d4oFRBEQUQGR3gmkkt77TGaS6ff3RzAYKYImJOD5PE8ezS3nnnuZybxzynuiffbgd90Gzs9VoGjQY7WpkVc34DtxIqZLLkaXkQF0NIc2Nn5Hbe2X2GwFeCUXWm0EgQHjCAubjVJ5/IywLo+EVqVAdYzp1Ur5iadc/zgGSKE+9nGKw6tge93SMfd3yvsSUo4OiARBEE6GV7SwCGc7z+EWFjkukPdOwPLpzgr+9PFeBkSZuH9KKrGBBtqcbnaUNPPJzkCWBVzItf8djY/m2G8Br9dFdvYfqG/4Gh+fNIzGgcjlatraiikonE9Z+ZtkDXoXvT7+mOffPDaeOW9t44pXN3P9mDjSwjvGq+RWt/Lu5hLkMnjnhuHHPDcqzZ/gGF++eGkPAyfFENPZJeSgaG892esrSRoSQmzmCbp3SjdBxGBQaU/twQmCIBzmdnb8LVce58vT6SYCFqHb/djCopB7eqWFRZIk5q/KYdagCF64fFCXdTBmDorkulGxTP7XBm5/fycf3DzimGVUVi2iofFbBvRfcNQMofb2cjZtnsjmLZM479xDxzx/dFIQH9w0gvmrcrhr4e4u+zIjjXxw0whGJwUd81yFQs7Me7PY8tkhdn9dxvYVxZ37tD4qhkyNY8gFscd/AI2HQKEGv+jjHyMIgvAL3E4PACpN31hiRQQsQrf7satC3ktrCUkStNrdxAQajrloV5ipo9XhYLXlqH0/slrz0OsTjjmdWaeLRqHQ4fG0nbAeoxID+fyusdRa7BQ32ACICzR0Xv9ENDol469KYeylyTTV2HC2u9H5qPEL0594ITKnDepyIG3GL15DEAThRFyOjoBFqRYBi3CW+nHQbW+teyiXy7huVCz/+bYAm8PNrEGRxATqaXd62FHaxL+/KcRXq2T5vDHHLSMocAJVVYspKHiauLh5qFQdOV+8Xjd19avweOzHDGaOJdSoJdArw7a1GseaCmqsLmQaBeoIH/RDQ9HEHn96s0IlJzi6ayZau93Ozp07KSwsxGw2I5fLCQ4OJjMjgzRvDnIxyFYQhG7gdnpQqORitWbh7OXpzMPSA4XbzWBrAI0vGIKPmyDgwalpmHQqXttQxJsbi7vsGx4XwItXDiI64PgLJQYHTyYs4WE+Kf6eyopnUCgDCJO3kuJaj8lbQVDQJNLTnjupKrfnNdH0YQ7I5Wj7+aGO8UVq9+AoasG2vQbfCVGYLjj2WJifq6+v57333qOtrY3ExERSU1PxeDxUVFTw8SefkBgfy1Xp3l8c2CsIgvBLXA5P5/InfYEIWIRu9+NaQr+1hcVpbac+rwK1WcKnfg2aqveRm3OPHGCMhKw5MPaPoOqa9l4hl3HXucncMi6B7EozNWYHWpWclDBfovx/eUXndyobeKJsGDaG4K9wo/C6aHRrkTOba0MVPJnWH+VJRGSS20vzkjw08SYCrkpFrj3ylpO8Eq0bKrCsLkEZrMcwJPQXy1u5ciUajYabb765c00iAKr3UljZxAcr1vPZZ59x6aWX/mJZgiAIJ+J2elFq+s6XHxGwCN2uMzX/r3ydb67czOsb/stuezZuuRuAOKeLqVIAs2X34jd8ELo4BRStg43/guINMPcLUBz9ctYoFQz01ZNa68Rd046sykF7mB5Nsj/y43xzWFnfwoP5FVwXEcjdsaFEadUAtLjcfFDVyFNF1fjpangoIfwX78Vjc+Ftc2MYFtYlWAGQyWX4jI7AsrqE1nXlJxWw1NfXM3DgwK7BSmsttDeTOGQCrFhPdna2CFgEQfjN+loLS98JnYSzRucYll/x6lqSu4Rb196KxdzCnX7X80LWozxV30RWQDpvBNv5Y8J+qjcYafeOgun/hOs+g7JNsPZvR5UluTw0fZxHzT+207ysANv2GqybKml8P4fq+duw7a47Zh1W1JsZ5KvnHynRncEKgJ9KyV2xoUjAS6W1J3U/CqMaVbiBlpXF2AubkbxHcqe4G9ppWtjRYhQ0N+OkyktJSWHbtm3s3r0bt9vdkRyudCPWkKGsWrUKgCuuuOKkyhIEQTgRl9PTZwbcgmhhEXrAr21hcXlcvLDzBabbJ/B/AXcRODsFLNVgtXJR/CwujR7ENSuv4eWwhfz5fRVRz5wD+sNTg231Xcpqs5g59J91+LT4cKhwEcrKvZhs7agkUPj5o43MoKFqNIr7L0Kb6Nfl3Fitmq8azOxtbWOgb9fuoxqH65TuSSaTEXhdOo0f5tDwRjZyvRKFUYPX7sbT4kDuoyLwhgyUQbpfLgyYMmUKDoeD5cuX8+WXX+KnU+BR6GhueR6lUskFF1xAWtpJpOwXBEH4BW6np89MaQYRsAg9oDPT7akGLF4Xdo+dWHU0rvJWPFYnCmN4R2r5L/9E9LAbASjSlqANqIHN/4WNL0BgEsx4sbMcu9XKor/+mQnay2grWkzkwR+QJyXiHp1EbW0V7eVlxFUfRL5vA1UtpSQseaRLPe6ICeHbJgtTd+QzMcDIAF8dKrmMfJudNY0WQtVKPhl07JT8x6L01xIybxDOYguOYjMeqxO5RoEq0gdtSkCXrqkml5uvGyzkt9lxeSWitWomBPiSbOiYCq1Wq7n00ksZP348hdu+xuxWI9cZCQ4OJiUlBb3+l8fnCIIgnAyP09tnksaBCFiEHiD9yhYWvUrPzMSZvH5oMS2qJsa9WExsv344A+4gO8rJ6xVf4C+Ht+p2EuS5Gb5WQsZsmPI0qI98UB9YvxZrUyOqmGac2RsJ/tP9BN58PTKZjHRJ4t0/z6Ox3ssotQ3H3oU4Cq9Ck3QkADEqFXw+OJnX8kr4oq6Zdxqb8cpkRKoU3BEZxM0xofirfvmt02YxU35gP60NdShUKoKiY4kYn45Ceexz36io56lDVdgPBypquYwKu5NHCiUuDvXn+ZRo9IdT/QfLLQQPTIGoIaf2kAVBEE6Sy+lFqRItLMJZrHO15p8FLA5nA+aWnThdjSgUeoy+mUctHvjIyEcI0AawMGchC01fQjtQCchhkDeDZwIvJGBUCOhNEJoB2qNzmLhdLmQKBZpksAHteUE0f5SPMkiH5PYyWHkuARGhuLUbcFfuwH7gQJeAxWazsWzZMhoLCxmnVOLr64vD4aCtrQ2Zjw8NM2fin5x83Pv3uF1s+PAd9nz1JV6PG5VWh9ftwuN24xMYxKSb7iBxSNcMu181mPlrQSU3RQbxx7hQgtUdGYLtHi9L65r5c245apmMF9NiwGGF+lxIFesECYLQc9xOD1pD3wkT+k5NhLPGz8ewuN2t5Of/neqazwAvMpkCSerIoGgyZpGaNh8fQ0cAoFKo+OOQP3LrgFs50HiAhvYGtAotqQGpBGuDKS0tZWtdHe4GNyZzCfHx8fj6dk2sljHuXHZ++Rkrt61ihMGHth2vIElXgCEBj8eNw9pCkyYHXd43aFJTMV54YZfzP/30U2pqarjssstISUlBebhFpL6+njVr1vDhhx8yb948goODj3n/6z94i31fr2L0ZVeTMWESPv4BSF4vtcWH2PzJQpY/9xRXPfEc4ckpAHi8HpYUbyLOmU+Ky59dVaEMCxtGgDYArULOMLkaRXErn2Q3oz3YQpyriEkTzuXkO6UEQRBOnbuPDbqVSZL0C0u+nhksFgsmkwmz2YzRePzMoULPy95QyYbF+dx5nweSJrFnzw2YLbtJiL+XkJCpqNXBeDw2mps3c6jonzidjYwc8RVqdcBxy8zLy2PFihW0traiVCpRKpXY7XZkMhmDBw/mggsuQKU6sm5RS0013733Og0//MCA0hqMdiceGXiUSlQeLzKvF8Po0YTPn48qNKTzPLvdzjPPPMNFF13E4MGDj6qH2+3mySefRKvV8uCDDx6zrq/cdBUDJl3AOVfNPWqf1+vhX1fNBOBPS1awqWoTf9/8dyqtlUgo0CjUOD3tKGVKLul3KbayiSzdVYtdoUEyKBmkdnHIosDm9HD1iBj+flEGymOsCC0IgvBbLfr7VqJS/Tnn8n49ep2T/fwWLSxCt/N6pM5Uzg5HHY1NG8hIf4GwsJmdxyiVPgQHT8ZoymLjxhFkZ/+BwYM/PGZ5lZWVLF68mOTkZK6++mrCwsKQyWS0tbWxd+9evvnmGyRJ4qKLLuo8xy8snNn3P4rdaqW+vARXTg6q6lq0MgXKoED0gwd36Qb6kVqtxsfHhwMHDpCRkYFGo+myPzs7G4DRo0cf9/59AwKpzD2I096OWtt19k9dcREAcQMHk9eUx7xv5jE0dCh/HzOff1YbWN/SxlhFHellr7A0dxEzW18nT9tMvToQdexITCNuxhE3no+2l/PI8gP4apU8NFXMChIEofv1tRYWEbAI3U7ySh3jVyRQKAzI5RpazLsIDb0Q2c8GtljMuwDw8x953PIOHjyIj48PV1xxBQrFkTePXq9n1KhRbN26lV27djFjxgzkPxvpq/XxITotE9IyT6rucrmcWbNmsWTJEl588UX69euHn58fDoeD0tJSqqurGTRoEOecc85xyzj3httZ+sxjvHXPrfQbORa/sAg8LifVBXkU7thCWFI/LrrvYRYcfA2j2sh/z/svKoWKf7taWf3DfqTcZuye27ha4aLep5xP0vyYEbAHbc5S+GgDmrmfM2fUYB5ZfoBX1xeJgEUQhB7hdnpRqvpOC64IWIQeIZPJQAZKpYGkpIfIz38Ms3kXIcFT0GjDcLtbaW7eTEPDNwQHn0983LzjlmUymbDZbFRUVBAbG9tln8PhwOFwdGvdk5KSmDdvHtu2baO4uJiioiJUKhVhYWFMnDiR5OTkjvs7jqj0TK577j/sWLGM4j07aG2oR6FSERgVw4TrbmbApKkoVSpC9CFYHBYONB5AXxLG2ndy8NVaSTDsRTv2cv6391NCzdHUbo7g+5QgJt39KLJnouH1iWy/vmN9pMExft1674IgCD86q1pY5s+fz8MPP8w999zDiy++CIAkSTz++OO89tprNDc3M2LECF555RUyMk6cyfPTTz/lkUce4dChQyQmJvLUU08xe/bs31I9oY+IjpqDjyGFsvI3KSt/C7fbjFyuxtc3k7TU+YSHX3JUy8tPZWVlceDAAd5++22Sk5OJjo5GqVTS1NRETk4Obreb66+//qjWFYDGKiv7vqugKr+F9lYnKo2C4BhfUkeFEz8w6LiBh5+fH+ef37Eas83hpqXdhVGrxFerOubxP2cMDmLYpSPImBYKSOh0sRiNA5HLj5w/O3k2q4pXcdPKm5m74ynUSU6UIa+y2VHLV/ZtNMe2ENR2G/I8JzPy1Gx75SB/OXzuZf/bzJBYf96+YdhJ1UcQBOFUuZ1eVGdDHpbt27fz2muvMWDAgC7b//GPf/DCCy/wzjvv0K9fP5588kkmT55MXl7eUbM5frR582auuOIKnnjiCWbPns2yZcu4/PLL2bhxIyNGjDjmOcKZxd9/OP7+wwHwel3IZMoTtlL8yCtJbLc6MI+fgpR3kKKSQxRv2oTM48FkMpGZmcnIkSPx9/c/6tyC7bWsffsgej818QOC8QnQ4GxzU5HXzKr/7SdtdDgT56Qesx5er8RHO8p5Z1MJuTWtndsTgw1cMyKW60bFHnewa03N5xQWPoPD2TV9v1odRGLC/xER0bHOj0ah4Y3z3+DjLYto3qKipnQJB6pLaPfzMFapYe7wh4mW+7CyXxDlS1oILSmFQPgo9F7+MyaLqZnhKPrIsu+CIJxdPB4vXq905rewWK1WrrnmGl5//XWefPLJzu2SJPHiiy/yl7/8hYsvvhiAd999l9DQUBYuXMhtt912zPJefPFFJk+ezEMPPQTAQw89xPr163nxxRdZtGjRr6mi0MtONPXsp60MJ1LYZue2AyUcsNoxKuWEBETS5BtKk8tDnE7Nf9NjGWw0HPNct8vDug9zSRwczHnXp6NQdg0ucjZV8e17uQREGBg0Keao8/+6PJuFW8uYmhnGzeckEOyrodnmZH1+PU9+eZDtJU3895rBRwU7dfVfceDgvYSETCMm+kZ8fNKRycBqzaO84l1ych9AJlcSHjYLyeOhZcFrDH7rLXYm34zKMJNxhzwEN+xF79tI0ObbqQtIwNk6F5UsmivDn4XJ/+TyoTfBSQR7Z7sNGzbw3HPPsXPnTqqrq1m2bBmzZs067vFLly5lwYIF7NmzB4fDQUZGBo899hhTpkzpclxLSwt/+ctfWLp0Kc3NzcTHx/PPf/6TadOmARAXF0dpaelR5d9555288sor3XqPgtBb3M6ONeHO+IBl3rx5TJ8+nUmTJnUJWIqLi6mpqelsSgfQaDSMHz+eTZs2HTdg2bx5M/fee2+XbVOmTOnsZjqWn49dsFgsv+ZWhNPE6Wyirb0YSfKi00ah1Z54pWOn18vVe4vQyGUsy0pihMmAXCZDkiT2Wdt5KL+C2bsL2TM645hZZx02N067h/hBwUcFKwCJWSF8+14uuVtqjgpYShttLNxaxhMzM5gzKq7LvllZkZyTHMR9H+3lg61lzBnZdUxNVdUS/PxGkJnxcpdgxmgcQEb6P6mp+YyDB/9EeNgs6l96mcY33iDwphuZccEkftjQRo56LjmASrLj9iqQmlT4+bm56CI9PsO3gFKN0MFmszFw4EBuuOEGLrnkkl88fsOGDUyePJmnn34aPz8/3n77bS688EK2bt1KVlYWAE6nk8mTJxMSEsInn3xCVFQU5eXlXVqHt2/fjsfj6fw9OzubyZMnc9lll3X/TQpCL3E7O17jZ/Sg28WLF7Nr1y62b99+1L6amhoAQkNDu2wPDQ095jeSn553rHN+LO9Y5s+fz+OPP34qVRd6gcWyn4LC+bS0bO2y3ccnlcSEPxMUNPGY5+XY7JTZnSzPSmKEn0/ndplMxkBfPf9KjWH8tlweyq/gfxlxR52vN6kJTzLx/ZJ8kCB+YBBKtQLJK1FbYuGHTwpRahTMmDfwqHPbDr9Rw03HXpAw1Nixrk+Nuf2ofSqVPzbbDlyuJtTqwC77XC5zl99bPvmEgLlzCfnTnwCYlgEtdW1UFbTQlreDpg8/x9haxogtXyITXT9HmTp1KlOnTj3p43/+Bejpp59m+fLlfPHFF50By1tvvUVTUxObNm3qzOvz84HeP08Y+Mwzz5CYmMj48eN/xV0IQt/UGbCcqWNYysvLueeee1izZg1arfa4x/28mVySpF8cr3Cq5zz00EPcd999nb9bLBaio6NPeA3hNJIkLM4ydu66G70+gfS0f+Drm4lMpsBmK6SyciF7991MZua/CQ2ZdtTp0Vo1GrmMxTVNZBn1qH8yoNYjSXxc0wTAleHHTjYnk8mYelt/vnkvhzVvHkAml6HzUeG0u3E7vZiCdVx09yB8/DVHnZsa5svIhADuWbybOycmcV5aCME+GpoOdwm98l0h6eFG/jjp6GRK8XF/YMfOy9mydQphYbPw8UlFhgyrNY/qms9QKv0YMrijm1MZGIAjLxev04lc3dFy4heix695Aw6/GIr+sR7dwIEiWOkhXq+X1tZWAgKOvIY+//xzRo0axbx581i+fDnBwcFcffXVPPDAA12m1P/I6XTywQcfcN99953UmCxBOFOc8V1CO3fupK6ujiFDjiy45vF42LBhA//5z3/Iy8sDOlpMwsOPNPnX1dUd1YLyU2FhYUe1pvzSORqN5qikXkIfcfjvdkXrt2i1EQwd8ikKxZF/K4MhiYCg83lz3TTWZX9GQspwIjUqRvr5YFR2vDkCVEqe7RfFn/LK+a6xlYmBvoSqVTS53KxvaqXU7uQvCeFMCDh+VkSdr5oZ8wbSVG2jqqDrLKHwJL/O5HZHVV8m4425w3hmVQ4vf1PAc1/lde5TKWRcODCCR6anozrGoFu9Po4Rw1dQUvo/6uu+orz8bQA0mjBCQi4gLvZ2tNoIAEIeeJCKO++kaNp0jDOmo46LQ6otpD2vBMs3G9EkJxH9xuun9uyFk/bPf/4Tm83G5Zdf3rmtqKiIb7/9lmuuuYaVK1dSUFDAvHnzcLvdPProo0eV8dlnn9HS0sL1119/GmsuCD3P7eoIWBRnapfQeeedx/79+7tsu+GGG0hNTeWBBx4gISGBsLAwvv766y59wuvXr+fZZ589brmjRo3i66+/7jKOZc2aNSfMJir0fTLkeL1uJMkFHAlY1jVZeCCvglLZM8gkL4qCCtwSaOUybo0K5v74cJRyGVeGB5JlNPBeZQPbzTY2uFoxKRWM9fdhQZCRfnkHaPrhGwDUMbHohw5BfoyWv4BwAwHhRw/OLSkpYefOnVRWVmK32zEYDERHRzNs2DDCw8N5clZ/HpqaxoEqC81tToxaFRmRRoy/MLVZowkhpd+jpPR7FK/XgSTRJWD7kc/YMcR/+gkNr79Oy0cf42lqApkMdUICgbfdSuDcucgNxx5ULPw2ixYt4rHHHmP58uWEhBxZmsHr9RISEsJrr72GQqFgyJAhVFVV8dxzzx0zYHnzzTeZOnUqERERp7P6gtDjpB/XhFP0nZbDUwpYfH19yczsmjHUYDAQGBjYuf2Pf/wjTz/9NMnJySQnJ/P000+j1+u5+uqrO8+57rrriIyMZP78+QDcc889jBs3jmeffZaZM2eyfPly1q5dy8aNG3/r/Qm9RYIY42Rq655n2/YLiYqcg69vJgfa5VyTp6C/ooi5vMPszPsIC55Amd3JkpomXi6txSVJ/C0pEoAUg5an+kV1Kbp5yUfUv/AC5WYzHF6YELcbudFI8D1343/11b/YPP/tt9+yYcMGgoOD6devH3q9ntbWVgoKCti9ezczZsxgyJAhGDRKhscH0O5u52DjQbbWNmFQGkgNTCVAe/y1j34kl3cEKi67nX3ffMWhHVtorq0GwD8sgsQhIxjwxN9RKeR493+GrP/FyJQin2NPWrJkCTfddBMff/wxkyZN6rIvPDwclUrVpfsnLS2NmpoanE4navWRQc+lpaWsXbuWpUuXnra6C8Lp4vX8uIjtGRqwnIz777+f9vZ27rzzzs7EcWvWrOkyyr6srKxLkq/Ro0ezePFi/vrXv/LII4+QmJjIkiVLRA6WM9SPsYJBFc6wocs4VPQ8hYeeQ5KcfMD1+DGSxw3LSEn8G35+QwGI1Wm4Pz6cdysbWVBez6OJEccMOsxfrKDmb3/DdMnFBMyd27kekLOoiKb3P6D2iSeRa7X4nWDWSG1tLRs2bGDixImMGzeuy3U8Hg9Lly7liy++IDo6GlOgiZd3vczH+R/T7j4yyFaGjInRE3loxEOEGcJO+DyszU189PeHMdfWEJ81hMzx5wFQX1bChg/fZt/aVVx+5TkYhlx2JAATesSiRYu48cYbWbRoEdOnTz9q/5gxY1i4cCFer7fzb1R+fj7h4eFdghWAt99+m5CQkGOWIwhnuh9bWPrUGDrpLGE2myVAMpvNvV2V372935ZJ/7vrO0kq+Lpzm9ttl6zWQumf+dlS7Lo90oHWtqPOa3N7pIT1e6XQb3dLXq/3mGWX3nCjVHrDjce99sGUVOlgSuoJ65eTkyP97W9/k5qamo65f9u2bdLf/vY3adu2bdK9390rDXl/iPTK7lek3MZcqcXeIpWZy6SP8j6SzvvoPGnKJ1Mkq9N6wuutXvCS9N9brpEaK8uP2tdQUSY9f/l06X+3XnPCMoSjtba2Srt375Z2794tAdILL7wg7d69WyotLZUkSZIefPBBac6cOZ3HL1y4UFIqldIrr7wiVVdXd/60tLR0HlNWVib5+PhId911l5SXlyetWLFCCgkJkZ588sku1/Z4PFJMTIz0wAMPnJ6bFYTTrOxgo/Sf276RzPVH/63ubif7+S2+zgmnhUKhwWBI5NZ4DyubC7hh1QYudlhJ0muQoqPJ8Q/is7qWjhlAAxOP26WjDAnBtnUrrto6VKEhXfa5GxpOqi6xsbHo9Xo++ugjpk6dSlRUFHK5HI/HQ1FRET/88AMBAQFEp0Xz9adf88SYJ5iVNKvzfJPGRLQxmpHhI5m2dBqP/PAIL0x44bjXa6mpIqJfKgERUUftC9TYAbC2tJxU3YUjduzYwcSJR6bF/zhrcO7cubzzzjtUV1dTVlbWuf/VV1/F7XYzb9485s07snbVj8cDREdHs2bNGu69914GDBhAZGQk99xzDw888ECXa69du5aysjJuvPHGHrxDQeg93jN9DIsgnKzjZrrdvJn//eMfuAoKumw2RURhuPE2Lrp4Bkn6joGzXo+XmiIzTdVteNxefAO0BN90B7bNmymaPh3j1KloUlNAJsORl49l1SoUwUHEvf/+Ceum0+m49tprWbp0KW+99RZqtRqdTofNZsPtdhMVFcUll1yCXCVHIVNQaa08Zjk/bo/2PfF0+uQRo/nundf44aMPybpgBnqjCYC2+gp2f7wQgHNvOHZSReH4JkyYgCQdP6fyj0HIj9atW3dS5Y4aNYotW7ac8Jjzzz//hNcWhDOd5Ol7XUIiYBF6wLFf4NbvN1J+663oR44g9N570ab0QwLa8/IxfPghUU89SmhkIEycSMm+BtYvysPa7EAmlyFXyPC4vCiUcjJv+w9JVWuwffctLcuWgSShjonB//LLCLjhBpSBRxK2mevbKN7bgLmuHQkwBemIGxBIREQEd955J2VlZZ2zhPR6PdHR0URGRna28Nwy4Bb+t/d/7Kvfx6TYSYTqQ7E4LWyt3sqKQysYET6Cu7PuPuHTyJoyg/ZWC9uXf8yWpYvxCQgEScLa1IhCqWTUpVcxaMqM7nr4giAIv1lnC0sfClhk0lnyNcFisWAymTCbzRiNx8/NIfS8fd9VsGlpIbff44akI7Mwym67Da+lldgPP0D2s5WVJa+X3PSOFb39V25h6XM7ickMZNj0eIJjfDvW42l2kLu5mh1fljDwvGhGX5LU+S33511IXq/ED58UsO+7ChRKOX6hemQyaKltw+30kj42gnFX9UNxnAUMO+slSawpXcN7B98juyEbr9SRmyDWGMvspNnMSZ+DWnFy6fLbzC0U79lJS00VNB7CL2UY8UPHoDf5ndT5giAIp8uhXXWsfi2bm/55DlrDya3/9mud7Oe3aGEResYxwmC5VoershLJbkem13c9/CfrQuVvr8U3UMu0OwZ0ie59A7QMmx7P7q/L2P11GcPPi8JV04bk8qAwalBH+iA7vG7Qvm/L2f9dBWMuSSJzXGRntkaPy0vOpirWL8pHpVUw9tLkI5Ww1sGBZVC9F5xW8AlFFjuGKSnTmBI3BYfHQYu9BYPKgI/6yHIB0BHY7CprYfOhBupaHehUCtIjjJyXFoqPpuNtpjf5kTH+PKjcCZpREJT0mx6xIAhCT+mLLSwiYBG63fFSoATdfhul11xL0UUz8bv8crSHx5/Yc3Np+fgTZDodse+9R1ulmjazk6YqK0FRvl3KcNrdeA5nYKx5put6VjKtEt/xUfiOj6I0u5HYzMCjFjZUqORkjo9i/aJ89q4tPxKw7FkIK+4DyQOhmaA1Qe1B2PYaBCTClQvRhKQSajg6+3Kdxc5di3azrbgJo1ZJhJ8Om9PNqxuKMOlUPD27P9MHHM78bKkCVztEDjmqHEEQhL7ixzwsMjHoVvg90qalEffJJ9T/+2UaFixAau/IayLTavEZP57gBf9Fk5hI/2Q3hTvr+Hj+DhKyggmNM6JUyWmubaNwey0yr8T4aAMBM+JRx5mQq+S4m+y07a7DsqYEb7uboCgfDm6sorqwhfAkvy71qCvtWNnbP+xwK0/tQVg+DwZeBec/CfqfJISrPQCLroIFo+AvtcdcLfkPi3ZT2mjj7RuGMT45uPMbSWVLO0+vzGHewl3EBo4lM1QH5VshY3b3P1xBEIRu9GN3u2hhEc560s/6hBweB/Vt9ShDdUS88E9kHi/u+nqQJJQhIV2yu6q1Si75vyHsX19J4Y5aSvY24PFI+AZoiArWEauRkfSnIci1PzlHr0Id5Yuj2Ix1QwVDHh5OTZGFpc/vIjTeSFCUD8hkNFVaqT5kJjjGlwvvPrxSc+kPHf+d8eLRAUloBvSb0tHSUrEd4sZ02W11uNla3MQ/LhnAxJSu06wj/XS8dMUgvtxXzaX/20TuFe2QduFve7CCIAinwe8i060g/NSu2l0s2LuAHTU7cEtuAHxVvkyOm8y8QfMI0Ycc8zylWkHW5BiyJnft0mn9oRLzqmI8FmeXgAU6MjNKh1cY1ehVzP5TFvkbqyjcUEnljlokj4SPVkFmPw0kt7Lu+29QKBTEqnxIkbzw7RNw7l9B+ZN1fyxVULS+4/8jBh1VT4NaQaSfjk92VXB+Rih++iMBjyRJLN5eDsCfhyghdjQoenbwmiAIQnfoi5luRcAi9JhvGvdz36Z3SA1I5f7h9xNnjMPldbG/YT8f533M9xXfs2j6os5xIXaXh+9y69hd3oKl3YWfXs2QWH/G9wtGfXgwrWFoKLZtNdT9Zzf6IaFo4ozIVIqOLqE9dbgb2vG/rB8ypRx7TiO+a0vJUsrRDgvB4yvnq4KN7LGUo9whx6g3ImllbGpuZqx8Audt+g+y3e9D9MiOMSzmio4uHJ0f3LQW1EcvRCiTyfjXFYO46d3tjHnmW8b1CybKX4fV4WFbcSOH6m3MGWjipmF68D1xCn9BEIS+QvJKfap1BcS0ZqEH7F9XwcZPCvhq3FNEBqbw8sSXUcgVXY5paG9g4kcTMWlMbLxyIztKmvjDot1Um+1E+esINKipb3VQZbYTE6DnlasH0z+qI+Ga1+6mdV0Fbbvr8JgPzy5SyNAkmDBOjEaT4Ifk8lL19FY0cUYCrkxBrlGybNkycnJymD59OjH1RmxrKwi4KgVvop5169ZRvGMNV2coCHSUH54lFAKxY2HgFR0BzAnUtzpYuLWMzUUN1Fkc6NQK0sONXJzpxyh5DqRc0CPPWhAEoSfs+66cTUsPcfu/J/T4tcS0ZqF3SeCQ3Phr/I8KVgB8VB3Tgs0OM+Y2Fze+s53UMCPv3zSCpJAjU4Zzqi38+eO9XPifjWQ/PgUfjRK5VonvhDCUxiocpbUgV6HtF4tuQDqyw6vselqdSO1uDMPCkB+eVpyXl8eoUaMYOHAgXocb29oKWtdVEDpwMNOnT+fxHTv49wG4766HKdq5jebqSqQcCb/GdSQMHo5fWPhxbzfYV8O8c+OZPkRGs6MZo9pIvG8s6twVkHn8hRgFQRD6Iq+n77WwiIBF6HY/TmueEzGe+YeW4vQ4mZ08m3hTPE6Pk/0N+3nnwDvolDoWTlvIrvJmLHY3z146gPigrt0uaeFG7pqYxB0f7uKN74u457xkmt56i4YF/8NrtXY5VhUZSehf/4LvxIko/DQoQ/W0fFmEpJRTZXGikfmw7YfduPMMJFrlqIHAOelAx4q8ABFGH974w03IZHL8wsKRyWTsq13Nd++9wcBJU5l4/a0ofraistPj5PX9r7ModxFmh7lzu16uZmbiRdztuuCovC2CIAh9mdcr9anxKyACFqEHXR1+Dobwwbyy+z+sKlnVZd9guYF3Uq4jyZSAFjsKuYw3vi/i0QvT0SiPtMi0Oz18sa8KgBkDImh6803qnv8n/nPm4H/5ZagTEpDcbuzZ2TS89hoV8+4i9t130A8bRtDcDGrfyabprWzkXonRykTWqXazpXo1pZ4A7Ojw/6wGm7uZqqoqwvz9sGz+hrGXX8vgqRei1nVMe3Y57Oz/9mu+e+dV1Ho9466+vsu9PLDhAdZXrOfK1CuZGD2RYF0wLeVb+MFSyPslK8huzuO9qe+hlIu3myAIZwYxhqUHiTEsfUf2+gq+X1LAHfd5ICAR73sXUdJWT1V0FkpTNIkyLcG1BzumCSdMgKsWs3BXPY8sz8Zfr2JUYlDHGBarg02FDdgcHv5x6QBmZUVyaMoF6IYNJeLJJ4+6ruTxkJuRCUBabg6SV2LhY1vwl8HgQcFo5OBUeDhoL6XEXElddSPOdi9xSVEMHZnFwWWLAYlLHv77Me/rn1d0rPfzpyUrOreVWkqZsWwG88+Zz4yEw+sBmSuguQTixrK9Zjs3fnUjt/S/hbsHn3jNIUEQhL5ix8pi9q2r5MZ/jO3xa4kxLELv+Wmq21UPIJfJSbh9MwkB8V2PK1oH782ET2/m6is/ZERCAEu2l7O7rJm8Ggv+ejVXDo/hqmExxAR2tHYoAgNxFBTgbWtD/rP0/q7qaqCjawjAZnbQUtfOqNv6E5YV3HlcKClAR5r+//1hHTK5jrQb0qjbGcu+taupys8lol9ql7IbykoA8AkM6rJdLuuYveRwHx7863Z0BGKHk8M5PB3bNQoNgiAIZwqvR6KPNbCIgEXoYfU5kDoDfh6sQEfrCkDuCtY0mPmwppG9Ji+WNAMTbTlcYt3N8NZmgjYbICQdUmcQ8n9/puymmzk0bTqmC2egjk9AcruwZx/AvGIFqpgY4hYtBEBvVOPjr2H312WExhsx+B0JGjwuL1s+LwJg7GUd6flHXnwFlbkHWPTIn4lMzSAkLgGZTEZDeQnlB7IJjIrhskee6nIL0b7RXJR4EX/f8nf21u9lgqQhOHk6LRXfs6lqEx/nf8zwsOHc3P/m7n+2giAIPcTrlfpUWn4QXUJCD8jeUMmGxfnceZ8H8r+CXe/jnfYPmpMnoVDpMWlMyNqbcX/+V5S5H5JbmkFRiQGPnx/2pGT66bcQ6HRQ7Y2jUW4kQl9Hhvd7FHIJznsUZ+RFNLz+OrYN3+OuqwOZDHVsLL4XTCHwxhtR/OTfv6bIzMoF+3C0uQlLMOEboMXR7qb6UAvOdg+jL07sst6Q1+Mh94f1FGzb3DFLSJLwCw0jccgI0sedi1J9dGp+j9fDBzkfsHD/W1Q5mjq3B2gDuLTfpdzS/xa0Sm3PPnRBEIRutHnZIQp31jLnydE9fq2T/fwWAYvQ7X4asBSaQmn55HqG1hbSLpNRqVSiQUak0wleqCuOYIl8DJkRYXiLKvE2ayiOPg+nzALedpBpkStDsat1XNB/H5nVj+O59B2sKRdiUChQuF0gl3dJ7f8jp7MRp7MBj0tNyW451YUW2ixOVBolwTE+pI4Mxy9Uf9R5P74lZMdbxfFY6nKR3HbqTOE0O5rxVfsSYYg4tTIEQRD6iB8+LaRkXwPXPD6yx68lxrAIvW6H+RC3b3mQsLBw5vafzUBLA9rWWloaqlF8WcTn0QHoH/+A+WVunjcGsuy9XZyj2YTU9iEh2hhMqkBkMjk2dx6lTli38xx8AwcT+8n1pIxfj0omY5Cvnhuigpgd4odMJkOSJGpqPqO07FVstoLOuiiVRuInzCIh/o+oVEcngXO02dix4jMKtv5Ac3UlXq8XU0go8YOGMuyiSzAGBR91Tqf2ZmgpQ9bvfELhmCs6C4IgnEkkj0Rf+74lAhahx/y7bCWpAam8OeXNLoNOzZ9/TlXRA7xzkRv7D3MITHif53aVcE3jl0Rp/BkWdhsKhQ9euRebXI6vG0ZKHgpbD7Ki6SHOOX8Nr2XEUe90sbbRwp0HS9lmtvFMvyiKS/5NcfFLBAefT3zcXWi1kbg9Nlqat1BR+QHNzZsZNnQpCsWRlhVbSzOLH70fa0sTqaPHMfD8acjlChory8j9YQM5G7/j8kfnExKXcPRNer1Q+I1IDicIwlnFK0nI+9gYFhGwCN1OJgMkCZvHTqw+qUuwIkkSVaGhbB85gtn5eqoDIMuQz5eudsIUSkYGz8BZuxNH7mfUXgL2oATiXSrs+UEk+k4GWykDZj/LgMPZc2+KCubl0lqeLqpmnEmLrnQBsbF3kJT45y51CgwYS1jYbLZsPZ/sA/cycMCrnfu2Lf8ER5uN659/BVNI1/V+Rl92Da/ceCXvP3B3l+nMnfJWQr8L6HNfRQRBEH4DySMSxwm/I1eHn8PfCpdw/4b7ubzf5cToY/hi6ReUl5RDQhhh5XUEN0s0WbaQrtfTFBlBk8PCJnk80sgriW0pRFtvZY8ziiqzD7OCZfTzSYCfpfpP0HUERIfa7WRIXhQK3THrI5d3DHz1uLtmyLW1NGMMDsEYfHRXjtZwggy1FTsgJA00IoutIAhnF28fTBwnAhahx1wcOhJFaH9e3v0yq4pXkdmUSaIlkS2hW/CN8OWCa/9Ieq6N9v3ZlFmtfKl2s0mRj8baTHOrH4XmJCTJjkQZcvtu5LIhAFTZnQSpldQ73axttPCP4hoyfXTcERNJsWsuRUX/wt5eQWjoDLTaCNxuKy0t2ygtex2tNor+/Rd0qWfG+PNYOv9vrHjxWYbPvJTg2HhkMhnNNdXsW7sSgPHX3tj15lrKweOEwMTT8iwFQRBOJ5GaX/jd+HHq2cykmcxImEF+cz6rP16N0k/J6xe/TpwxrmMGTQIYp00jFPjysceoUZi5yf88qtoO0WivQkIiOGAQocqZtMtl3DZYx8HNBzuvI0digq6a+4NqabO5SEp6EI02nLLS16mq/qjzOJlMiV0xgZzW69jwdSUxgc1MTAkhwk9H/KAhTL/nfta9+zofbNmITCZHJpfh9XhQaXWcc/X1DJkx+8jNuexQuRMyZp2WZykIgnC6SV4xhkX4HVLIFaQFplGXVsf69etpKWpBGih1Tvn1er1kZ2cDkJmWjm9YLPEHTUTVpYJXQuErRxvhwneQkiWRsaxryCanYik6Tw1pKjOBeGkpq2F7cRsB/mPJyHiB6Ki5tLWV4HDU8smuRl5a76LdrSbS34FcVkNFczuSlM3c0XH8ZVoaqaPHkTx8NNX5uTRVVeD1eDCFhhGVmoFK+7McKnlfQtrM0/0YBUEQThuxWrPwu+P1ShzaVUfRnnqaazT4SOEsX76cVStXEx4ehkwuo6a6GrvDgdpqpmTZ+7wpvYdvYBDjMzUk239AbimHfCAfgmRyJvqr6D90MjHDnkOvjz18HTcNjd+Qk/MQ+/fPY8iQxRgMCXx+QMnTa5v4w7np3DQ2Hj99R+I3q8PNwq2lPL0yF6NWxb2T+6FQKolMTcdYVoHly69wFBZS6nKhCg/HMHYs/ldcjqJxF8SdAwrx1hEE4ezl9XhFC4vwOyGB0wkrXthFdaGZkDgjYQn+hMvGUV5WQVV9Kc1uJ34hElJVKWEaJVljxuEfcSkelwv1zldJrFtGoSOaqCvfI8+gYmHR5+yo3Y7Z48CQu4dMy+Nckn4tE6MnIpcrCQmeQnX1pzQ0fEN7exk6XQxrDtRwTnIQfzo/pUv1fDRKbh2XyNMrc3npmwLundwPyemk/K67sG34Ht3AgfiMOweZWoOzpISGBQtoevdtYp77C9rEkF56qIIgCKeH1yMhV8h7uxpdiIBF6HY/dvXs3CKjodzK7D8NJiLZ7ydHpNBQ0cqSJ7djKXyf5NQoZj/wNxSHs9W6ampofW07Fd4hFB9qZUv+s3w+yEJtYhQ672j8rc3Mdm9ge1sOi7Z+y367DYPDhFwBCp8R+EQ6UI7tWKQwMdiHz3YcourrfxNR8y00dawfREAC9VGT0BCBRtuRk6X5o4+xbdpM9Ouv4XPOOV3uyVWaT+H0iym+6f9IzZkuMtgKgnBW6whY+tbfORGwCD2msR7CE00/C1Y6BEX5AuBxteMXGt4ZrDS++SZ1L76EzKtEHdqKzuUircbM5B3ttFfYqYp0YlZqGNWmR9X4ABaZjoKg7aTEyAnzmmlriKFm51xWmHO58A8DuXuEH3N2P0zIxgr2agfTFjAWGTL0lbmkF/6VVfpofG75EgBnURHqyEgMY3+2nLrXi8qyD7nBgNds6dFnJgiC0Bd4PV6U6r4VIvSt2ghnlZh4ie+/a2LXV6X0nxCFStORP8Xj8pK7pRqAqPTx7P36S0AixeCP9bnnMc65FnmslfDC/+Lx+hAjtyKX5Dgb7Zjqc/ENbEep9HJJ8P1cY5hHRdgS6nR+zB8yk8ioS2gq07Lsn7v4+u2DTI14A19NG6tGf8pHZT4UN9jwShKxQQYuibYwe/OleD48n4Jz3qQ9JpL2pdXoHv0bwX+4C1VIR9ePd/9nWPLdeNvaMV50oWhdEQThrHfGdwktWLCABQsWUFJSAkBGRgaPPvooU6dOBaC2tpYHHniANWvW0NLSwrhx4/j3v/9NcnLycct85513uOGGG47a3t7ejvbnszOEM8Phz/P+WdCqiGHLZ4fY9kUxfqF6ZHJoqWvH7fCQNjqcwReMZNvyGPK27sKV9yUhajUrDuzA0RTDYJ8JTJWtY61ex4v+fsz/UkJlldN0VSzbGm9hRtBTrGp/lEGuVHIdf+VvtmR8C+0M8OmoQNHuepoP7qStKpTM3A8YYDCgTU/HeOFFqKMiKdi6CQCFtYrPX3i6o9Ip0eizt5E6YxpRPkbkcglXXSOS04Vx2jTCH3usFx6oIAjC6XXGdwlFRUXxzDPPkJSUBMC7777LzJkz2b17N+np6cyaNQuVSsXy5csxGo288MILTJo0iYMHD2IwGI5brtFoJC8vr8s2Eayc+WQyGH1xIoHhLez7Zj3m+mqQwC8olOQRI6ktdfHho1sAHTLVWNoClOjr3iPRnYg7az8JnmykErjf+gSR0kd47RUAXBFlZ4SnkkzrQPrrvyGtdArrRgYSlL0LQ1kj1toA9AQiU6xjS54vKa0FqONMeL0hNL7xJvX/XYDiilnUVX1Gcgg0D7iTO+57EID60mJ2fbGUXepdGOMTiZKDKnUohrFj0CQcYy0hQRCEs5DnTA9YLrzwwi6/P/XUUyxYsIAtW7agUqnYsmUL2dnZZGRkAPDf//6XkJAQFi1axM0333zccmUyGWFhYcfdL5yZ3C43X/7zKQq3b8EYHEJwbAIyGdSX5fPd2+tRauOYOPc+jOkqXlh8H7YmByHpwaTt+5L2wgC8g3TIY6x8UvMc9h+U1GlNPD8rC3mzglKfJkKkjtwt4+tHMfgrC1qXEbkUgCT34FYW0a5TsnXkCOr9RnC1+RWUuPFmRlO3xUPzBx8zcEIT0ph78T/vUZB3NH3G9h9ETOZAXrjyQtYVHzr2+kGCIAhnuY5pzWdwl9BPeTwePv74Y2w2G6NGjcLhcABdW0YUCgVqtZqNGzeeMGCxWq3Exsbi8XgYNGgQTzzxBFlZWSe8vsPh6LwmgMUiBkP2NZvXbaMw+wDjb7ubAWMnoFZ35EBpqGxl4aMfYbN/yvc7XmSNuZSUiiDiz92DI7GFbSvGE7FXAYUBuL2+ZMYWY79UTb02hHneQsKtTfSniEaVH7OS/osyWMPQomq8rkBafZpxYiC92EJl2CjUTgtF7Gdp0nOM929BYa0koJ+S5vs/o2BrOLlh5+HZsBWDUU1EPz8yx0Wi0nh7+ckJgiD0Lq9HQnEmt7AA7N+/n1GjRmG32/Hx8WHZsmWkp6fjcrmIjY3loYce4tVXX8VgMPDCCy9QU1NDdXX1cctLTU3lnXfeoX///lgsFl566SXGjBnD3r17Tzj2Zf78+Tz++OOnWn3hNLDZbAB8W+1BiktjxYZNrNy4hfj4eCZOnEixo4wVg76g2rcck91O+r4xaImnOOd8ZEXQpAvG2g++HKKjIEoivXEfsxvXMUQ6iL9XR61PDP/0vYhs7UTOa1TR3PgNadoownzXc2vcSsLkF3De5i2oW79jV8pU5MDBwhLKc3YAHUNsQmNDaddoaSv+H6GJI/E4g9m92sr25bUo2I9Gp+OKvz/Xew9REAShF/XFMSwySZKkXz7sCKfTSVlZGS0tLXz66ae88cYbrF+/nvT0dHbu3MlNN93E3r17USgUTJo0CfnhpvaVK1eeVPler5fBgwczbtw4Xn755eMed6wWlujoaMxmM0aj8VRuSehGDQ0NvPOvz9A1JmBK2kh1bj7DLroEXWgEu3fvpra2lo2hG1FrVPTfnUSU8yI8cjctmgZqTKWo3SqSGrKQIac4ysy+WC/FweG0qzU82biQSTtn0diQj7V0FRUmLy9dcS8X7zhAm66eka5kciN1PN/PSFJlI3cvfZcDCfG4TYEYy+Sk1e3GWF9Js1pJaWwkklpBTOYAyrL34jgcZMnkGuTKJK556m6CYyJ7+WkKgiD0jvf/uomkIaGMmt3zC7xaLBZMJtMvfn6fcguLWq3uHHQ7dOhQtm/fzksvvcSrr77KkCFD2LNnD2azGafTSXBwMCNGjGDo0KEnXb5cLmfYsGEUFBSc8DiNRoNGoznV6gs9bNOmTahUKgCumD6cr5Qadn74Jgb/AIKi46iR5IypGYMhNxu934XoTWrazBDUHoHOHcj7Q+9nXeKH3N9wIbJD5zI+4R+o1CU8Zn8WZdEF1CtsvNDPizd2LOHhuaTVfsk2zznoHDrs6kK0tV6uarShkBTszRqKzOPFtzkFv/KvKZZ0jDvvKnJr45j7/ERevf1ainfv5O73PqG91QLtLWxakk/eQQVej28vP0lBEITe0xdbWH5zHhZJkrq0dACYTCYACgoK2LFjB0888cQplbdnzx769+//W6sm9AKPx4Pi8EAtpVLJ5Lv/D8vIieRv20xFfQ1KRUeQOejKu8lf7WZUSBHbS53sGBXHyhQ/tLXglXvROrOBc2lfP4bi8JFMYQ8+7nj0nijqLEby3ZEoDiVgwI1c6aFFCkbjCGa2zE6ovAm3w4asaT/ydl82DVzPTp8LWH77+USp1Xz/9618+35+R33dLmQyGVq9gfIN6yirCCQwUkVInAhYBEH4/TrjZwk9/PDDTJ06lejoaFpbW1m8eDHr1q1j9erVAHz88ccEBwcTExPD/v37ueeee5g1axbnn39+ZxnXXXcdkZGRzJ8/H4DHH3+ckSNHkpycjMVi4eWXX2bPnj288sor3XibwukyfPhwPti6Ah/gm8IGni3bQYnDxaCE/iSoDShrKggr3EzIx0spHf43tu6W0+/QUsLqnVRMgYJQFbNKhtJWOQLkkOb4kmYGE13QyiaPnS9jQylx+3KLvokxxhLqGsKx6hpJtWbyiaRgsaTl2rC9TEhcg0zuweuWEdOiJsP/IOHeYditbvoNqWXfNytApsEv8gYW/X0r1gYrTqcv4Uk6zr8pUySHEwThd+2MX/ywtraWOXPmUF1djclkYsCAAaxevZrJkycDUF1dzX333UdtbS3h4eFcd911PPLII13KKCsr6xzXAtDS0sKtt95KTU0NJpOJrKwsNmzYwPDhw7vh9oTTLTIykrFjx7JnRS0bt+QyRpbLmMP7/ORyMr7fSGBDFZ+P1VAY9ioZjTdgHXI/CpeFC/dZcPkYcOKPpKxjkukh4tUFDCCHyjAN477146rwTEapfJniMhFSP5J4r5Jauz/m+FZuH1PE0vcH8kHxVCYmr6LeOw2NXQ3OrxgfW8m6FZdSviEcmVxO3KChxGfNxNHmg6uhEn3/ACIHJhAabxTBiiAIv3t9MdPtKQ+67atOdtCO0PNyNlXz7Xs5vDBTx5+DdJwf4Iuv10vDRTNRGI0krvkKyaNm+0vfUCqvQlmQi8Lti9wGSncbqtn5KOIPIlN4aTKbkHYFYKi1YHaqeUt/JQ06Izfnr6BgeijTE9fwtRW22ZRcoY3kHzvuYUBwDs9c7EuDKo3X973OwcaDvNJ/Nramt4kKup/45DmodR0LHtJcCq3VEDOydx+aIAhCH/K/P6xj1OxEBp4b3ePX6rFBt4JwstJ8FLznUTMuNIKw7L00ShKqsFBcWh3fLc8n1mOibOxazo/Kx3DoAJ6lHUHE5w4v5+2eiyS52J2/C5lVwlcPIQor51o3sVA/k3+lXUNUQT15FQPpnx6Mp7KRfzSHojKa2ZcgY/q+RpSuRaSrvbx+/uskaLzsbHobma7hSLDiaofqvZB+US8+JUEQhL7nrMjDIggn698BrcyrdHHv0oPEudo5d+BAguvqyL5wFlUDzifVEc5NtkTa9nyGJVeDQibhm2Tj3DeM7Jw7grr8T3Hgz/5Jk/hX3Q/4twUS7kolXmVlraOZXLecGlk4bZU+WPV+OKNUyML9CFaG45QZqHOryZbL2NZUS1vT4+h0cSQm/LmjcpIEuV9CxuzefUiCIAh9jNfjRfJKKFR9q0tIBCxCj1m3fh/D68zIlUrcWj05mZnketzo2toYsWUZjro66r8G0OGJ9xJwgZcIk4X2MUF4DYvRN9cyJjKZ2w+FAVdRqHNSr/eS1O7iHKUfZm8DG4s+YuMDj7PL0sZriX5ENfyDxvqVgEQLfnzkuZrHas7jWd9JXJF5O4rDs5Q49A0kTAS5ovcekCAIQh/kcXeMFBEBi/A70PFib2pt56qrriIpKQmFQoEkSdSUl7Pqk09YN3ECNzcuR+GegNv3PKqGvEtu4AHerP0/hjTv4PLatXznM4wk1Szsms0cylzIg8oJVPvdyGxfLTdm78OYreeCuFt4vNHCY0kRzAgPgfCXcTj+itmyG5erhdEKI1kH4YHW2czVhndUryYbfMLAENh7j0gQBKGP8rg6lidRKvvWFzoRsAjdxu30cGh3PblbqwA4f3ACKSkpnftlMhnhMTFcM28e8+fPZ1nQOP5wfiLSqBmEmsdRVPYCS5QjKI7woGE/0SFBUAxf5G7Ct3U4j0WE8HX1O4TXVfC9y8nU4XegqJPRT6Xi09pmZoX4E6JRodGEEBI8BUmS+Li2GSjj3tjQjkrYGsFaA0mTeuEJCYIg9H3uwwGLXCnGsAhnAa/HS11ZK/Wlrai1CrS+aravKKa2+MgilNkldaQ4nZ2LHkJHYsC9e/cCMDJSCd8+iczjQt3/MlL7P8bE7AK+avRnamMZ/W25OGVyLjr/T+Q795BbXY1LpcYw7nzmTJyC64sG3LTxYlos1+SUMGLLQcYF+BKr1dDu9bLNbCPPZufyMH/+Lz4MvB4o+g4yLzntz0sQBOFM4XEfbmERXULCmc7S0M7q17KpL2tFLpfh9XZ0Aam0CqbN9hLg4yS7uJ1vi1t46aWXSE5OxmQyYbfbKS4upq6ujuHDhzN00kRYq4TvnoZvHgeZnHtloewNfJT7XNegkbzcaJK4tkBOpHoItf4KLjfpGOBV0P5OOXK1guDbBxAV6MPGEam8XVTBmrIq9rm9KNwuYlztPO2j5qroROQyGeR8CanTQeRZEQRBOK4fu4QUqr7VJSTysAinpGR/A2vfPohGr2Ti2EbC43V43NBmBqlMhb1Ui6fZCUCryk6ufx21KjM2ZztqtZqIiAgGDRpEYuJPFtRqa4KyLazMaeLPO/3wSHISIozYlTKabU4C6h1Ml6uYEmQkWK1C4aNCk2DCMCQUub5j3aK8zd/z1YKXkLxewpL7ofM1YmtupuZQPmq9gQuvvpCYrNHgH9sbj00QBOGMUV/WykdPb+fyh4cRHNPzy5SIPCxCt7E0tLNhST7lOU143RKxqT5MGlOOdvBMUCiR2d3YF+zF02RHPzgAdZwJuUqOqbGdgD2BuKpsBFyZin5g8LEvoA+gNuJc/vjBd0xOD+XpWf0xHQ5EAOpbHfxh0S7+XVTH1ofPI8io/Vn96ln1n3+SNHw0k266E62PT+c+a3MTK557jI9f/ZA7XpuKvkeekCAIwtnjxy6hvjaGpW91UAl90qHd9ZTub8R7eKqb1eJBo5FA0RHv2rbX4m5sJ+SuQfjPTsaQFYIuMwjf8dGE/CELhUlD06JcJI/3uNfIrjTjdHt58ILULsEKQLCvhmtGdLSMfLKz4qhza4sL8bjdjL/2xi7BCoCPQUv/zBgADn7/3a9/CIIgCL8TnV1Cyr4VIvSt2gh90sDzorn0gaH4Bna0bBiMCiT5kaDCa3cjVytQ+GuPOlcmlyFTH+4HPUHnY/9IExqlnKe+zKHJ5uzc7nQ2kn1oBa+v2wLA5MRyPJ6uq4OHJSSjUKlY994btLceGfSLJNG6/WP25dYCkD7u3FO6b0EQhN+jH8clntGLHwq/T3K5jNB4I852NwADBrqQh6Z17jdkhWD9voL6/+3FeG4M6lgjMrUcd6Odtl11uOvb8BkXhewE0XqIUcvLV2Xxp4/2MvLpb+gfaUQjK6W6pYVSSxR6pZv/G/Yu5YXZ1JQG0C/5EcLCOlLq+wYGMe2uP7F6wUu8esdcwhKTO8awVJdQU1WH1uDD5Y8+jd5o6tkHJQiCcBboDFjkImARzlBZ58ew5bMibHYdUulmLCVlABgjgwm+dQDNyw/R+EFOl3NkWgXGSbH4TvzlBbSmZIQx7P4APt9Tyfc5m6hvqSI5NIbrxyUye0g/fDWXYbMVUFLyCgcO3otaHUhAQMda0P1GjiUqLZOcjeupOZSPo6ka//AIMi64hNQx49DoDd3/QARBEM5C3sNjWGQiYBHOVDHpgexZW84PX7VyICSVujIbAOfMkBgwMIfQecNxN7Rjq2ylocWOx6AkLCUQo6/mpK8RYFBzbn8FVuvLaNIyGZQ4gcygBHTKji4oH59+ZGS8SG3dCnbvuY7zzj3Uea7e5MeQ6TPB1tCxqGHSed37AARBEH4Hfmxh6WtjWETAIpy04Bhfrn1iFN+9l4O15cg4EoPeCWofCutaeXZ1Huvy6nB5Ol7wMhkMiwvgz+enMDw+4ITl5zTm8OSWJ9nXsO/wlm1QuA29Us+c9DncPvB2lHIlVmtHK47JNPjoQjxuKFoH/S/tjlsWBEH43ZGOPz+iV4mARTglGp2SC27rD8DO1SVsXV5EbGgz+aQx+z8/EGLU8vC0NDIjTSjkMgprrXy4rYwrX9vMm3OHMTE15JjlVlorueGrG4jyieLFCS+SZNCRnz2PBjcc8Ebwxv7XqWzcxFWhJhoavsXXN4NBA986uqC8LyF1Rk8+AkEQhLPaj+nZxBgW4awgSRIavQpJAqtNzhs5RQT6aFjxh7EYNEdeVoNj/LlkSBSJD6/khne2U/LM9GOW92XRl8iQ8e7UdzGoDLg8XprillJfsoLktp1EKCVWVO5nmjGZpKQHiYy4+sjKyz8q3QQRWaA6eraSIAiCcHJ+DFjEGBbhjNdudbL27RzKDjQSHq/HqK/F4wWlXIbiGC/wk3nJG9VG7B47JeYyvtnhonnLBwz37KK/rB4nCt6OVoLahX/8a8QEBx1dQFMRyJXgF/Pbb1AQBOF37Mcuob62iokIWIRf5HZ6KN7XgEqtYPfXZVQVtCCTyxh6jpbhw23Iki7iBn8LK/ZVMeuVH7hxbDyZESaUChkFtVY+3FoKwP+uPcaYk8MuSryIpQVLufrLq5lkcTDGx8whdRTfGsLYL2+iSWZnfl0D5a9cRcnNHzAjKvTIyU4b1B6AtAt7+lEIgiD8foiARTjT7FhVws5VHUGHRqdk4mQ3cQmgj08Cv47pypmRJj69YzRPr8zhgU/38dMVqjIijLxzwzAmpBx7/AqAXqXnubGv8p+3p7DP6GSNMQBoQ6eUGB42gvmZN+JbmEfS17ez8L07Kf7jQuL1GpAkyFsFGRf35CMQBEEQepkIWIRjarc6+eLlvdSXtXZuu/YWOTqNE3XyaNB0TYHv9kqEBut5/YZhuJweihtseCWJaH89IcaTG1NiVBv4k7mO71oGk1phhKoS9G1eNJFN+IzfRtE5HeNfrnau5Z7SWl5Ki4GCryHxXJD3rel3giAIQvcSAYtwlKYqG5+/tBub+UiK/EuusGOKjIaw/l2OXddk4T+ldWwz23AeblaJ06m5LDSAO2JC0CtOPpAwSi52tUczXbeJBf4XExR/FVFaOU019ezcUERc2V8YroY/Jf2ZO2NCOnKt+EWD/sTTpQVBEIQznwhYhC5am+wsfnIbaq2CiGioKofBIyAsRndUsPJ2ZQMP5VcwzGjg0aQIorVqrG4Pm1tsvFxWy9pGC8uyktCeZNDS9O47GL9rpebyTB6QfUizezklrWFEGtxcnFyJEjfV2SYm3HEXKZIF2ho7WlcEQRCEs54IWIQudq0uRfJKGExq0lNamDXDgSxtOqj1XY5zeSWePFTFdRGBPNsvCtlPhpNfEhbAtRGBXLAzn/vyyvlveuxJXbuuII/cuFjc1Sk0eTMJ0lZjVLVi1+r4Jno2yS9+iLtNyYVBvnDwM5EcThAE4XdEBCxCF0Onx1FX1kpdiYW11T7szQ3hcsVqyOw6qNUlSbR7vMTrNF2ClR9Fa9UA5FjbT+q6Od9/x5raYgalx+GNq6NGU0+JF9qsgbjqUojKi8M74A/4p7sgd4VIDicIgtBDPIfXEhKJ44Q+TalW0FB+ZKBtfUUb27Yo0WSvJT7ehbH/CNAHoFfIuTo8kKeLqmlyuZkV6v+TLiErL5TUEqBSsGRg4i9e02W3s27xvxh4dSNew0Hsdj1ymw5fJQSF5eFN2EZhwXAOKtOZqckiLDJDJIcTBEHoAa1NdqoLW1BrFchPYQzi6SACFqELtVbBgHOjKT/YhMvpAUli934FboeH0towLjJthtSO2Trz+0URpFbyekU9/y6r61LOWD8f3h0QT4hG9YvXbLOYiRp3CI9Cx4E90whyzsBcoiJYb0PjW4c87StS0jaxx+HLwmYHf2gbS6BfT9y9IAjC71NNkZldX5VSvK8BgKQhx09D0VtkkvTTjBlnLovFgslkwmw2YzQae7s6Z5XdX5ex6dNCTCE6EiMbMAbpSEkDZepEkCto93jZ29pGrdOFXi4nw0dHxOEuoZPhdLbw/cYhVGaPw9LQnwjzQIbfkUVkPz+qC/NZ98FrhE5YjsulZsvmKwiuGce8/4nBtoIgCL+F5JWoPmRmx8piynOa8QvVkzU5hsTBwWj0v/xls7uc7Oe3aGERflHa6HCaqm3UFlsoLA+kda+DPXs1jBqxhviBweiihpLlq6LEXIndY0fmDkGSwo45tuVYVCojGnUEgTEHKW8NIcy3hIY3LZQ7GnF7HcRnOmgDioqG4tsW1bM3KwiCcBaztTgo3FlH9aEWKvNbsFtdBEQYmHJLJolZwX1u/aCfEi0swilrqLCy6dMCynOaCY5Tsi/xA1bZd+L0HsnbEuMbw839b2ZW0qyTClzM5j3s3XcLTqeFluZg7A4DGoUXH1Mtao2NstL+KFxX0ronmIyxUUy4OqUnb1EQBOGsk7+thm/ey0GGjJA4XyL7+ROZ4k9ksl+vBiqihUXoMUFRPlx49yC+++gAOd/V0SgLZd6IKQxOvxy9Sk9FawUri1fy6KZHqWur47aBt3WcaGuAqj1gbwF9IEQOBq0JAJNpEKNGrqW6+hOKC77FYi7H41Fgrk2ntXoojsoMZG4NqaPCGHtpUq/duyAIwpnqwPdVeN0SV/x1KEFRvr1dnVN2Si0sCxYsYMGCBZSUlACQkZHBo48+ytSpUwGora3lgQceYM2aNbS0tDBu3Dj+/e9/k5ycfMJyP/30Ux555BEOHTpEYmIiTz31FLNnzz6lGxEtLKfff/+8BsmqZMaccmKHXnJUuv5rvryGfQ372HThZ/iufRxyvjiyDCiAXAWDroLznwJt138zR7ub0u1FNBdX4DXG4BugJTo9AFNw13wwgiAIwslpqrbx5St7cbS5GXheNAPPjUat6/12i5P9/D6lOUtRUVE888wz7Nixgx07dnDuuecyc+ZMDhw4gCRJzJo1i6KiIpYvX87u3buJjY1l0qRJ2Gy245a5efNmrrjiCubMmcPevXuZM2cOl19+OVu3bj2Vqgm9QDfOghcP+UX9oGrX8Q9ceCWUbYFpz8M9e+GhCrhrJ5z3KBz4DBZdBT+LmzVqiX4B+xkx91xGzU4ic3yUCFYEQRB+g4BwA5c9NIzEISHsXF3Ke3/dRMGO2t6u1kn7zWNYAgICeO655zjnnHNISUkhOzubjIwMADweDyEhITz77LPcfPPNxzz/iiuuwGKxsGrVqs5tF1xwAf7+/ixatOik6yFaWE6/5rYW/vfoahwKO1FTDjI448ouXUJfl37N3THTuGX9/+C2DRA+8OhCtr4Kq+6H2a/CwCuPbD+wDFKmgVJz+m5IEAThd8La7OCHTwoo3FlH8rBQxl3ZD63h9M0M+qkeaWH5KY/Hw+LFi7HZbIwaNQqHwwGAVnskoZdCoUCtVrNx48bjlrN582bOP//8LtumTJnCpk2bTnh9h8OBxWLp8iOcXns+rcZoDUET08p7RVuYu3oul31xGfeuu5eC5gKeGvsUNycezpDbUHDsQiyVHf81Rh7ZVrIRooaJYEUQBKGH+PhrOP/mDCbflE7ZgUaWPLUNS8PJZSbvLafcebV//35GjRqF3W7Hx8eHZcuWkZ6ejsvlIjY2loceeohXX30Vg8HACy+8QE1NDdXV1cctr6amhtDQ0C7bQkNDqampOWE95s+fz+OPP36q1Re6Uf62jqZE4/4MriCDiVfl4o1LJyQojRDD4X9TSYL0WfDpzR1jWJImdQy4tdZA3iooWAMj50H8OR3HNxSCUgcmMX1ZEAShJ8lkMvoNCyM80Y+lz+1k4eNbGXNJEv0n9M2/v6fcwpKSksKePXvYsmULd9xxB3PnzuXgwYOoVCo+/fRT8vPzCQgIQK/Xs27dOqZOnYpCoThhmT+f9ipJ0i9OhX3ooYcwm82dP+Xl5ad6K8JvNOWWzC6/f7c4ley3ZBx8N5v8z9fiyfu2I2C59C2Y/jw0HoLP/wCLr4Iv/wRtTXDxGzDlqY4CHK3QkAdRQ3rhbgRBEH6ffAO0XPXoCNJGhbNhcT4l+xt6u0rHdMotLGq1mqSkjmmlQ4cOZfv27bz00ku8+uqrDBkyhD179mA2m3E6nQQHBzNixAiGDh163PLCwsKOak2pq6s7qtXl5zQaDRqN6DLoTXEDgpj3v3ORvBLNtW3UFJmpKTJTVWThwD4buUVGJjR8hjF1IAy7uePH1d4RmGhNXbt8JAnyv4KMi49/QUEQBKFHqHVKRl+aRP62Ggp31hHXP6i3q3SU3zyfSZKkzvErPzKZOnJrFBQUsGPHDp544onjnj9q1Ci+/vpr7r333s5ta9asYfTo0b+1asJpIpPLCAg3EBBuIH1MBACl2Y2sefMA7+f6MWpyI4OHNUDMCFDpOn5+Lv8rSJ4M8r612JYgCMLZzu30kLOpmn3fVeD1SGSOi/zlk3rBKQUsDz/8MFOnTiU6OprW1lYWL17MunXrWL16NQAff/wxwcHBxMTEsH//fu655x5mzZrVZVDtddddR2RkJPPnzwfgnnvuYdy4cTz77LPMnDmT5cuXs3bt2hMO1BX6vpiMAEJifanIbUahVoHcc/yDq3ZDQHxnEjlBEASh53k9Xgq217JjVSnmujYSsoI5/6YMgmP6ZlK5UwpYamtrmTNnDtXV1ZhMJgYMGMDq1auZPHkyANXV1dx3333U1tYSHh7OddddxyOPPNKljLKyMuQ/+RY9evRoFi9ezF//+lceeeQREhMTWbJkCSNGjOiG2xN6jQSNVR35dwYklEPURcc+rrUG7GaIyDqNlRMEQfh9a6yy8tXrB2iuthGTHsDU2/sTEG7o7WqdkFhLSOgR332Qy8GNVUQk+zF7WiWkXXj0QR4X5HwOmZec/goKgiD8Tlmb7Xz09Hb0RjXnzU3v9RaVHs/DIgjH02ZxcnBjVccvHgeS23nsA3O+gNRjBDKCIAhCj2mubaO91YUpRI9Kq8DR7sbl8OB2efB4vPTVdozeX0RAOGu4nB6W/2s3tcVHkvgp5V7gGFPUizdAzEhQqk9fBQVBEASiUvw554pktn5ezIePbjlqv1wpw8dPg4+/FmOglshUf5KGhKBUnThFSU8TAYvQbRw2d2ew4h+m5+qZhRA/Dkw/m/HVUABqAxgjeqGWgiAIv28ymYwBE6PpNyyM2lILznY3kldC8kp4veByuLE2O7A2O2isspG7tYYfPilkzCVJpI4K77V6i4BF6BaSJLHxo/zO3wcMkUFIGvjFdD3QbukIWFKnneYaCoIgCD+l9VERmxH4i8e11LWx/F+72fddRa8GLGIMi9AtqgtbOLS7HgBjkBaTKw9PWyt4fzKd+cfkcClTe6mWgiAIwsmSJImqgma2fl6EtdlBv+EnTuja00QLi9AtwhL9GH5hPLu+KsVmdvL5mijSLIGc6/0aUi7oOCh/NfQ7H35h2QVBEASh9zja3eRuqubgD1U0VdkwBesYf3UKGef0bje+CFiEbiGXyxg2PZ5h0+PxeiU+f2kP1cU23IOdKCWpIzlcYJJIDicIgtCHVRe2sOrV/Tja3MQPCGLsZclEpfgjk/f+F00RsAjdTi6XEZ5oYsfKEiqaI4ir2A5uO0QO7u2qCYIgCCeQvaESZ7uHa58YhW+Atrer04UYwyL0CGuTHYCaKgmptbZjtpAgCILQpyUNDcXj8fLtezm4HCdYUqUXiIBF6BET5qQydFocO9e3suKbGFpq23q7SoIgCL9rloZ2KvOaqS220FhpxdLQTpvF2SVRXPyAIGb+MYvaYgtr3z7Yi7U9mugSEnqEQiFnxEUJhMYZ2bA4n0V/38qwGfEMnRrX21UTBEE4K3hcXrxeCaVajuwYkxlsLQ5qis1U5rVQdrARc137MctRahT4h+rxD9NjDNah1asIiDBQtKcep92NWts3QoW+UQvhrGWub0djUNLaZGf/ugoRsAiCIPxKkiRRV9pK3tYaqgtbaKqy4fVIyOUy1HolGp0SjV6JxyPRbnHSZulYFsU3UEtMegCjZycREGHA7fLidnpwOT247B7Mde0019hormmjMq8ZR7sbhVJO4uAQVJrezW77UyJgEXqM1yuxZfkh3E4vAMZAXS/XSBAE4cxiMzuoOWSmushMWXYjzTVtGExqYjICSR8TgcagxNnmxtHuxmHr+K9cIUProyIo0ofQeBM+/prevo1uIQIWocfI5TKufmwku78uY/93FcT2/+WMioIgCL9nXq9EQ3krFbnNFO2p71zuxOCnITrNnzGXJROdFoC8D0wzPt1EwCL0KN8ALXg7BnRV5jWLLiFBEHqMtdlBVWEzLTVtSIBWr8IYpMU3UIuPvxa1VoHHI+H1SLS3OqkpMmOpb6fd6sLSYKe1sR27zYXb1dEqLJfL0BvV6I1qTKF6IpL8iOsfiEav6tZ6t1udFO2up2RfA1WFZpztbhQqOTHpAZx3fRrRaQHojepjjlP5PREBi9CjzPVtFO6qAyBuQFAv10YQhLNRVUEL6xbm0VxtA0BvVCNXyGhvdeFxe3/x/IAIA8YgHdFpAeh81SjVHRNoPW4v7a0u2g53yxz8vgqdr4oxlybTb3jobwogXA4PBdtrKdhRS2V+C0gSEcl+ZE2OJiLZn9A4IwqVmMj7UyJgEXpMXamF5S/uQeuj4vKHh+Hj37eSEAmCcGaTvBIbluRzcGMVofFGLrg1k/AkP/RGdef+NouT1mY71iYHbqcHuUKGXCFHa1Di46/FN0iLQnFygYG12c4PnxSy9u2DVOQ1M+GalJM+96dl7F9XwYHvq3C2u4no58+4K/uRMCi4s97CsYmARegxBzZUojUoufzhYWh04qUmCEL32rS0kOz1laSOCmPCNakolF2DB5lchsFPg8FPA/G//Xo+/lqm3JJJbP9qvns/l+ZqGyNnJRLZz++ErS1ul4eq/BYOfF9F8b4GVGo5aWMjGDAhCmOQmIxwssSniNAjyg82UbS3gehUfxGsCILQI4r21OMXque8uemn9bqpI8MxBenYsCSf5f/ajd6oJiTOSHCML1qDCq/Hi6PNTVurk4ayVhoqrHg9EgERBs65PJmUkWF9JrfJmUQ8MeFXc9rdWJsdtFmctFkcWJsctDbZqSky01BuJbKfH2MuS+7tagqCcJay29xEJJl6JblZeJIflz80jKrCFsoONlFXYiF7fQXO9o5uJ41eidanIwFb6qhwwhJMBEX7/O4Hzv4WMumnOXnPYBaLBZPJhNlsxmg09nZ1zlo2s4M9a8spP9hEU5WVn7561FoFvoFa/MMNJA8NJX5gkHhzCoLQY/K31/Dd+7n4BuqY+cdBGExnR76R35uT/fwWLSzCSZMkiWX/3EV7q5OYECfpU0IJyojpnPanFl0/giCcRv2GhREc7cvyf+1m7dsHmfnHrN6uktCDxCeM8ItcDg/7viunPKcJc107U6b74N9QTMDMSaIFRRCEXuUfZiB9bAT711f2dlWEHiYmeQu/6MD3lWz5rIi2FjujBrnwyVmP/+WXiWBFEIQ+wW51ofMVU4LPdiJgEX7Rj1MF4wYEE+3MI+Dyy5AbDL1cK0EQhA5Oh0fMRvwdEAGLcEI2s4MNi/MBiLfuRJuZiTourncrJQiC8BO+AVosje29XQ2hh4mARTiu2mILBzZ09AtrDEqKanT4TJjYy7USBEHoKiDCQJvZSXluU29XRehBog3tDOXyeClraqOiuZ2GVgf1VgcNrQ4sdhdOtxfH4R8AjVKOWilHo5Tjo1ER5Ksm2EdDkK+GKD8dMYF6NEpFl/LbrU6WPrcT7+GFCx02N3uKfUmva8M/THQHCYLQdyRmBROTHsDK/+7jwj8MJCLZv7erJPQAEbCcASx2F3vKWthV1syBKguH6q2UNbbh9h5JguKrVRLsq8GoVaFVyVErFWgOjz1pc3pobnPicHuxtLtosDoxt7s6z5XLICZAT2KwD2nhRjJNeqSDFrxeiYxxEVRKpST5JhOeZBLBiiAIfY5cIeeC2/uz8r/7+OLfe0XQcpYSieP6IKfby/aSJr7NrWNjQQP5da1IEvjpVfSPNJEU4kNCsA+JwQai/fUE+2rQqhS/XPBPONweGq1OypvaKGqwcajOSmG9lf3lZq6olmOQZBSZbNSmZzMhfRjXDpp4ytcQBEE4nVxOD5+/uBuvR+Kyh4b1dnWEkyQSx51hXB4v6/PqWba7kvX59VgdbsKMWsb3C+aWcQlkxfiREGTotqnEGqWCCD8dEX46RiQEInkltnxeRE6Ok3bJiTpCR11qNgWVPmz81MHzn69hbFIws7MiOS8tRAQvgiD0OSq1gsTBIWxdXoTklZDJReqFs8kpBSwLFixgwYIFlJSUAJCRkcGjjz7K1KlTAbBarTz44IN89tlnNDY2EhcXx913380dd9xx3DLfeecdbrjhhqO2t7e3o9VqT6V6Z6SieisfbClj+Z5KGm1O0sKN3D4+gXNTQ0kL9z1tuU5am+zsWl0KgGxaOf0GxhHkjGbmpTM5VG/j29w6VmXXMG/hLoxaJRcOjGDOqFhSw87s1ixBEM4eLoeHyrxm1HoliFjlrHNKAUtUVBTPPPMMSUlJALz77rvMnDmT3bt3k5GRwb333st3333HBx98QFxcHGvWrOHOO+8kIiKCmTNnHrdco9FIXl5el21ne7Cyq6yZV9cfYs3BWgL0amZlRXLJ4CjSI3onADAG6bjg1kzWvHmA2LqBFDft4/LMS5HL5SSH+pIc6stt4xMprLOydFcFS3dV8uHWMsb3C+a28QmMSggUieQEQTjtPB4vtcUWSrMbyd1cjd3mYsrNmeLv0VnoN49hCQgI4LnnnuOmm24iMzOTK664gkceeaRz/5AhQ5g2bRpPPPHEMc9/5513+OMf/0hLS8tvqcYZM4Ylp9rC0ytz+L6ggYQgA7eMS2B2VmSvd7F4PF5aG+zUFpv55r1c5HIZU+/oT2xG4DGPd3m8rNhXxavri8itaWVIrD9/nZ5GVowY6CYIQs+yNjso2d9A2YFGKvOacdo9aH1UxA8MYujUOIxBut6uonAKenwMi8fj4eOPP8ZmszFq1CgAxo4dy+eff86NN95IREQE69atIz8/n5deeumEZVmtVmJjY/F4PAwaNIgnnniCrKwTL2LlcDhwOBydv1ssll97K6dFg9XB81/l8dGOcmIDDSy4ZjBTMsKQ94E+1tYmO1+9nk1tsQWDnwatQUl7qwtzXRscJ2BRKeTMzopi1qBI1ufX88yqXGb/dxMXDYzgwampRPiJPxiCIHS//G0dKzR7PBJhCUayzo8hOj2Q4BjfPvH3VOg5p9zCsn//fkaNGoXdbsfHx4eFCxcybdo0AJxOJ7fccgvvvfceSqUSuVzOG2+8wZw5c45b3pYtWygsLKR///5YLBZeeuklVq5cyd69e0lOTj7ueY899hiPP/74Udv7YgvLqv3V/OWzbLySxD3nJXPNiFjUyt7L2SdJEs01bZTsb6B0fyPVh8zojWoSsoJwO71IXonYzCASBwefdLOqxyvx6c4KnluTR7vTw6MXpnPZkCjRLCsIQrdprLLyyfwdxA8MYvzVKWj0qt6uktANTraF5ZQDFqfTSVlZGS0tLXz66ae88cYbrF+/nvT0dJ5//nlef/11nn/+eWJjY9mwYQMPPfQQy5YtY9KkSSdVvtfrZfDgwYwbN46XX375uMcdq4UlOjq6TwUsVoebvy7bz2d7qpiSEcpTs/sT5KM5rXWoKTaza3UpTVU23E4PCrUCZ7sbu9WFQiUnNM5IQISBiCQ/XE4PqSPDkCt+fTBlsbt4/PODfLqrgklpofzj0gEEGMSiZIIg/HqSJFG8t4Fv38tBb1Rz2cPDUKnFTMWzRY8FLD83adIkEhMTefHFFzGZTCxbtozp06d37r/55pupqKhg9erVJ13mLbfcQkVFBatWrTrpc/raGJbypjZufncHlS3t/H1mBrOzIk97a8OB7ytZvzAPv1A9fmF6lCoFHo8XpUqBMUhLUKQPIXFGfAO0lOc2ERBuwGDqnoDqqwM1PLR0Pz4aJW/OHUpyqG+3lCsIwu+D0+6mtshCZUEzpdmNNJRbie0fyKTr09EaRMvK2eS05WGRJAmHw4HL5cLlciGXd/12rlAo8Hq9p1Tenj176N+//2+tWq/ZVdbMLe/uwKBRsuzO0b32Yf3Dp4VIEig1CtwOD2HxJhIHB2MK1nc5rrnGhkan7LZgBWBKRhjp4UZufncHF/93E69cM5hx/YK7rXxBEM5MXq9EfWkrtSUWrM12nHYPLrsbt8uLo81Fe6uLNosTu80FEmgNKqLTAxhxUQKxmWI24u/ZKQUsDz/8MFOnTiU6OprW1lYWL17MunXrWL16NUajkfHjx/N///d/6HQ6YmNjWb9+Pe+99x4vvPBCZxnXXXcdkZGRzJ8/H4DHH3+ckSNHkpycjMVi4eWXX2bPnj288sor3Xunp8nusmaue3MbaeG+vDpnaK92h4y7sh+l2Y20Ntopz2mmvsyKf7ihS8DitLtprmkjYVD3BxPRAXo+vXM0f1i4i5vf28Gbc4dyTrIIWgTh98hudbH9y2IKdtTS3upCrpTh46dBrVOi1ipRquXofdUERvig81Vj8NMQGm/EP1QvEsAJwCkGLLW1tcyZM4fq6mpMJhMDBgxg9erVTJ48GYDFixfz0EMPcc0119DU1ERsbCxPPfUUt99+e2cZZWVlXVphWlpauPXWW6mpqcFkMpGVlcWGDRsYPnx4N93i6ZNdaWbuW9tIDfPlnRuGY9D0biLh1JHhpAwPY/GT21BrFSQODkatPdLvK0kSJfsbSB4S2mN18NEo+d+cIdz+/k5ueW8H79wwnJEJx555JAjC2ak0u5Fv3svB6/aSNiaChEHBhMT4olD13uQD4cwj1hLqJo1WBzP+vZFgXw0f3jwCX23f6GM117fxwSNbGH91P6LTAjEFH5luXLK/gbAE02npD7a7PNz07nYOVFlY8YexRPnrf/kkQRDOeGUHG/ni5b3EpAdw7ty0bu16Fs4OJ/v5LcLbbuDxSvxxyR6cbi+vzRnaZ4IVj8fLvm8rgI7VTI2BR7IHN1S04hugPW2D17QqBa9cPRiDWsm8hbtxuD2n5bqCIPSeNouTL17eizFIy4w/DBTBivCbiIClG7y7qYSNhQ28eOUgwkx9Y0mBlto2lj63i/3rK+k/IZKAcENnP7CjzYWtxUlgpM9prZOfXs2CaweTU2XhP98WntZrC4JwekmSxPqFHUuuzLpvsBgsK/xmImD5jRqtDv61Np+rh8f0iQGlXq/E3m/KWfLkNuxWJ8NmxJF1fixhCabOY2QyGU67G3N9+2mv34AoP24bn8CrG4oob2o77dcXBOH0KNxRR9Geei64LRPfgL7xRU44s/XuqNCzwItrC5AB903u12t1MNe30VLbjrm+nbwt1dSVtpI8NIS4gcEkDQk5Kl21WqckeWgojZVWivc1oFTLiUj2Q/EbEsadijsmJPLxjgqeWZ3LK1cPPi3XFATh9CrcVUd4konErJDeropwlhABy29gbnfxyc4K7piQSOBpzmALUF/eytblRZRmNwIgl8sIivZhxMwEEgYGExBhOOH5gZE+BEb64HJ6qMxtxuuR8A/XH5Wnpbvp1UrmnZvE35ZnU21uJ9wk1h0ShLOJ5JVorLQSnuTX21URziIiYPkNPttdidPj5cph0af1ul6vxHcf5JK7qRpTsI4B50YRHOOL3keNf4ThlJtfVWoFMYcXOWyqslGyrwGF6nCrSw+teTQ7K5JnVuaweFs59/Zi65QgCN0vb2sN5rp2zr0urberIpxFRMDyG3y5r5qJKcGEGE9v/+z+7yrI3VTNkKmxhMaZiO0f2G2rlAZEGAiIMOB2eqjMa0YmlxGdFtAtZf+Uj0bJtP7hrNhXJQIWQTiLNNfY+P6jApKGhhAhWliEbiQG3f5KdpeHPeUtjEkKOq3Xbayy8sMnBaSNCSci2Y/4gUE9sqS6Uq0gOi0Aj/vkl1U4VWOTgzhUb6PB6vjlgwVB6PPM9e2seGUfBj8NE65J7e3qCGcZ0cLyK2VXmnF6vAyL6/7WBwBrs4Pda0ppqW0jKi2AQZOikclk1BZZkCSITg8gJr1nM8bWlbYSEttzSfh+fHY7S5uZkhHWY9cRBKHnFeyoZd0HuWh9VMyYNwCNTny8CN1LvKJ+pSqzHYD4oBMPbD0er8dL0Z4G6kosWFscGExq+k+Iwhikw+uVWP3afsz17chkUHawiagUf4JjfAmK7sid0m5xYre60Pr0XOK3dquT0PieC1jCTVrUSjk1h5+lIAhnFrfLQ2VeCwe+r6R4bwNJQ0KYcG2qCFaEHiFeVb9Sk9WBWilHr1b88sHHsP3LEnasLMHgp0GtVVCwvY2m6jYmXZ/GjlUl1BZbmP2nLH74pBCtQYV/uB5JksjfVotcIUOhlKPW/bprnwzJ2/MrNshkMpxuL1/ur2bu6Lgev54gCB08Li8NlVZaG+3YzA4sDe1Y6tuRgMAIA0lDQgmOOfYq87YWB6XZjZTsb6A8pwm300tAhIFJN6TTb3ioSBAn9BgRsPxKDrcXjVJ+ym/OmiIz6xfl0VBuJf2cCOytTlrqOhK4qTQKPnhkMx63RMY5EVTmt+AbqKXsQBNr3z5IS20bjZU2Bk2OJjDKB3kP5k2pLbH0aOvKT20rbjot1xEEAfZ+U87Wz4twOTqWx1Ao5fgEaPAL7UhnsOurMnZ9VcaQqbEMPDcaZFBV0EJlfgtV+c00VtqQySAs0cTQaXHE9Q8iIMIgAhWhx4mA5Vfy16tptbtxe7wojxM4SJKEpcGOb4CmM7go3ttAQ7mV4BhfNDolYQlGfvioI039od11JAwKJn5AEFGpAeiMKgq31+FxS5jr29EaVIyYmUD8gKAeT6tvt7kI8zH98oG/kUmn4o4JiT1+HUEQ4OAPVWz8uID+E6JIGRGGKUSHRq/sEmw42lysfi2bnatK2bmqtHO7MUhLRD9/ss6PJTYjsEe7owXhWETA8iv5G9QANNqchB5nWnP+tlrWvn0QgIv/PJiACAN1pRYA6staGXBuVMfA2cuhpa4dX3/NUSsqp4wMo9+IUCQJZDJOy7cYr1c6LddxuD2Y210E6NU9fi1BECB7fSVxA4IYd+XxUwlo9Cpm/jGL1iY7tcUWvB4v4Ul+Ir2+0OtEwPIrpYV39O/uLW/h/OPMcInNDERjUOKwuVn6/C70RjVtFif9J0RiCtYTFm9Cb1STNirihNeSyWScztbWuhILoXE93x20v8IMQFr46el6EoTfM7fLg7XFQXT6yc1s9A3QiiBF6FNEHpZfKcpfT6Sfjq0nGH+h0SkxBurQGJSYQnS0WZxEpvgTlRLAwPOiO/uM+5qenn30o63FTfholJ3BnyAIPaOlro3l/9qDs91Nv+GhvV0dQfhVRAvLbzA2KYivDtTwl2lpx0zeZjM7qS9rZdTFifiH6lEo5Rj8NQSE/7qp0KeD1ysh64FEdMeyKruaUYmBxx0DJAjCrydJEjWHzGRvqKRwRx16k5pZ92URGNGz498EoaeIgOU3uGJ4NEt2lLOhoJ4JKUevSKoxKFGq5dQcMqPzVZEyPKxHZ/Z0h6qCltMyO2hfRQvZlRbunSTS8gvdx+30YGm0ozWo0PmqfrczV4r3NbDls0M0VdkwBusYdXEimeMiUf7KNAyC0BeIgOU3yIr2Iy3cyOvfFzG+X/BRfxxVagXnzU1n7dsHaaq20VBuJSLJj6i0gD6RWKnN4qSxyorX05FzRQboTWq0hp7vDnptQxERJu0xAz1BOFVer8SmTwo58H0lblfHchI+/hoyx0eScU7kaXlN9wWONhfrF+VTsL2W6DR/xl6aTFSq/2lrNRWEntT7n5pnMJlMxp8m9+Pm93awNqeOyelH9w0nDQkhIMLAhsX57Pu2goPfVxGWaCIiyY+IFD8UCjmtzXb0virCEjt+7wk/D04AdD4qIhL9UKhOb6vP9pImVuyr5h+XDkAh/pAK3aB4bz17vy1n6PQ4olP9aW91UXagke0rStixqpSU4aEkDg4hol/Pvcd6m6WxnS9e3kubxcmk69PoNyLsd9vCJJydRMDyG52XFsI5yUE8seIgoxMDMWiOfqQB4QZm3ZuFpaGdgh215G2tZduKYkIPGFEo5VQVtODjr2HgpGjSx0Sg1nbPP0tdqYV2qwsAva+aiCQ/FMre/WPtdHt57PMD9I80cengqF6ti3D2+DEQD40zEhpvQqGUkzg4hBEzE9m/roLcLdUc+L4KjV5JXP8gErKCiesf2Oe7aE+Wx+NlxX/24fV4uezBoX12QL8g/BYiYPmNZDIZj1+UwYx/b+Qvy/bzrysGHfdbjTFIx5AL4hg8JZaDG6tY92Fe5z5rswO5XI6lwU5QVPcMimtvdRGb2bMLJJ6q+atyyK9t5ZPbR/fIKtPC71Nc/yDCEox8+co+ZDJQ65Vo9CoMJjWmED3DZ8TjH26gZF8DRXsayNtag4+/hnFX9iN+YHBvV/83K93fSHO1jcsfHiaCFeGsJQKWbpAQ7MMzlwzg7kW7GRLrz5xRcSc8XiaTkTg4pEvAkj42At9ADYGRfXcG0W+1Yl8Vb/9QwuMXZTAw2q+3qyOcRVQaBbP/PIS6UguNFVYcbW7sNhc2s4OG8lZyN1UzeEoMo2YnMXJmIvXlrWz7vIiVC/aTOS6SsVckn9FdRU3VNrQG1XHX/xGEs4EIWLrJRQMj2FXazN8+P4BJr+aigUeSwUmSRP7WGirzW5AkidB4E8V76wFQaxUMvzCepCGhGPw03VupPtSAsS6vjvuW7GXmoAiuGxXb29URzhBer4SloR2304vWoMRg0hxzAGljlZXaIgtyhQyNXoWPvxalumOtr+pDLTSUW7t0/wRH+zLtzgEc+L6KDYvyMPipGTot/nTeWrfyeiTkij70hheEHiAClm706Ix0LO0u7l2yB5VcxtT+4QDkb61h7Ts5BEZ2LBCWu7kGjU7J0GlxhCUYCUv06xOzhnrKD4UN3Pb+Tsb1C+K5SweKgYDCL5Ikif3rKtn1VSm2Fkfndp2virQxEWSMjcAYpMPj8fLN2wcp2FF33LLkShmZ4yIZMrVroCyTyUgdGcbmpYU42j09di+ngzFQS5vFibPdjfos/lsi/L6JV3Y3kstl/G1yCrpqOx+8uY/SxCoGx/mTs7kaU7COzPFR6I1qbGYHKpWCuIFBZ/10y4+2l/OXz/YzOjGIV64ZjLqXB/0KZ4aS/Y18vySf1JFhJA8PRa1TYm91UXawiez1lexZW8bAc6PxuL0U7qzjvLlpJA0JQSaX4XJ4cDk8eFxevF4JH3/NcQeyH/yhGpfDQ8Y5J14eo6/7MXdSdZGZ2Iy+NW5NELqLCFi6UUttG4ue2EqEWyJcrcGc08y2HDMyLwRG+rB/XQWRKf4kZgUT2c+/x+sjA6TTmLn2p1weL/9Yncvr3xdz1fBo/j4zE9UZPEZAOL0Uyo7XrFKjQIYMvxA92ngVcQOCGDU7kd1fl7H7q1Lcbi/DpsWROir8J+fKT/qLQN6WahKygvELObMHqvqF6lFrFTRWWEXAIpy1RMDSjRztbrxuifA4X5RuL1XNDjw2NwAtDe14HB1ZOE/HwoIAap0SR7v7tLfiFNS2ct9HezlYbeHRGencMCZOdAMJpyQ6LYBRsxPZ9VUp2esrgY6gf9TsRGIzAxk+I55Bk6LxeqTf9Pp2OTzoTd08dqwXWJsdOB0e9Eax8rlw9hIBSzcKjTMybEY8hTtq8fHXMCAtEJdRySt7y8hrsHKLTI/e9/T9QdH6qLDbXN0esDiKirB9/z2uqipQKtEkJuEzcQIeXyNvbSzhX2vzifbXsfSO0WI2kPCryGQyBk+JJWtyDOb6dupKLexYWcL3S/KJzRwF0C35ikLjjJTub0C6LPmMzQbrdnp47+FNaAxK4gYE9XZ1BKHHiIClmw2fEc/wGR2zDdqtTmqLLdzVHMa+sipsLg+bdDZUHjtJXqnHs7xqDSpa6tq6rTxvezvVj/4NyxdfINNoUEVGIrlcNFW8jVep4uPBF/J+5GhuGB3Hn6ekoFWJdUuE30Yml2EM1lFbYqHN4iSuf/d+IKeNjSB3Sw3ZGyrJHB95RrYE5m+vBeD8GzPO+jFxwu+bCFh+o5oiM7u+KsVc347XIyFJEpIEXrcXa3PH7Aadj4qEtAB8432prG3kwc8P8PbWMm4bn8CFAyN6bGyHRqfE2ebutvJqn32W1rVrCX/qSYwXXoikVLHmQA3vr95D/++WccXWT7n6ieH0m5HebdcUzm52m4v2Vidupxe309PxX5cHl9ODrcVJS10bZQcasTY5iB8YxNjLk7v1+uGJJtLHRrBhcT7ZGypJGhJCdFoAIbG+Z0wW3NLsRsISjMSIsSvCWU4mSZL0y4d1WLBgAQsWLKCkpASAjIwMHn30UaZOnQqA1WrlwQcf5LPPPqOxsZG4uDjuvvtu7rjjjhOW++mnn/LII49w6NAhEhMTeeqpp5g9e/Yp3YjFYsFkMmE2mzEaT88YEYAlT22jodyKf5iEXOGD0+4hJNYXl8NDYKQPfiE6AiJ8CI0zdjY57yxt5t/fFrAur54Ik5YbxsRz8eBIAn26vy+99EBjtw3CKxg/AeOM6Wjv+iOf76nkzY3FlDS2MSI+gD+cm0zghecAkJab0y3XE85ekiSx9u2DFGyv5Xh/gZQaBcZALZHJfqSODicktufe15X5zexfV0l5ThPO9o4gPyLZj/PmpvH/7d15dJT12Tfw7+xbZp9MkkkmCUnIblgiIItEZHOrlGqh2qotrS34Wj32tec9emqtL8eHWq0Pep7nqaXYWt7ySPWxKC2KgCIIBAlZCAFC9nWSTJLJZCYzyWz37/1jJDKQnYRMhutzzhyPs/zmvq9c4b7yu3+LyiCbsu+9XoxjePvZL5G3IgELv5Uy3YdDyISM9fo9rh6WhIQE/Pa3v0VaWhoA4K9//SvWrVuH0tJS5OTk4JlnnsGRI0fwt7/9DcnJyTh48CCeeOIJmEwmrFu3bsg2CwsLsXHjRmzduhXr16/H3r17sWHDBhw/fhyLFi0az+FNi6RcPbpa+tDTzgPgAgA4uwdw+8bZyC1IGHL5+fwkLd750UJUtjuw41gdfvdpJV45UIk7Mox4MD8ed2QYw+52itfPwRWbgM4PP8GzbfFol6hxV24stn9vHuaaNeg7cQLNAJR33zXdh0pmgLbaXlSd7sCC+2YhIUMLoZgPoVgQ/K8o+F+RRHDDbtHEp2sRn64FF+BgbXTi5D9qYKm2Y/dvTiExW4/EbB3MWTqojbKwum1UX94Fj9uP+Iypn3VIyHQbVw/LUHQ6HV599VX8+Mc/Rm5uLjZu3IgXXnhh8PX8/Hzcc8892Lp165Cf37hxIxwOBz755JPB5+666y5otVq8++67Yz6O6ephAYC+ngE0VnQPLrWflKtHxm2xwXUhxvCPm83lxT/PWvBBSQvKW3ohEwmwNE2PFZlGrMgwwqSZ+F9419PDYnUO4ItLnThSacWX1V1Qd7fh1cIdUHv6IFm8GMrZaWA+HwbKy9F/9iwUS5Yg4Q//Bb5k5s+6IFOr+kwHDu48j5+8fjsk8vAcd+HzBlBxtBWN57rQVtM7uKZLQoYWcbM1UKgl8PsCsHe40d3qgtvhgd/LIeDnIFeKodRLodRLoY+P+room7w/QmwWFyqOtqDiSwvMWTrc+7/yaG8uMmNNSQ/LlQKBAN5//324XC4sXhwctb9s2TLs27cPmzZtgslkwhdffIGqqiq88cYbw7ZTWFiIZ555JuS5tWvXYvv27SN+v8fjgcfzzQqYDodjoqdy3aK0Uji6BwAABQ+nI3NxHITj6CHRKcR4bEkyHluSjBprHw5f7MDnlVb8+qPzCHAViNfIMDdRg/mJWsxJUCM1OgpaxeTONurt96G2sw8Vrb0oaexBSZMdTTY3eDxgrlmDny1PwcqsxUhXPoDe9/8HfV8eg/Ozw+AJRZCkpiL+31+Hcu1a8Pgz475/JBtw+WCptsPnCcCQEAWdSRFWvQIA4LJ7IBDxIZSEV0/ilURiAeatTsS81YnwDvhhqbaj5VIPWip7UHmqffB9YqkA+vgoRGklEIgFEAh4cDu86GhwoKbYCo/bD6GYj/h0LZLzDMhdHj/k9/k8AfR2uuHsHoDL7oGr1wu3w4uBPh8YYwj4Gbz9fridXjg6+yFViLDo/lmYtzqRihVyUxh3wXLu3DksXrwYAwMDiIqKwt69e5GdHRxk+eabb+Lxxx9HQkIChEIh+Hw+du7ciWXLlg3bXnt7O2JiYkKei4mJQXt7+zCfCNq2bRteeuml8R7+lEmbb0TZoSbY2tywVNuRmD2xXo00YxTSjFHYXJCKXrcPhXVdKGmyo6SxB68cqITXzwEIFjmp0QqYdXJEKyWIjpIgWimBSiaCRMj/+iGArduFrkY+PP4APH4OzgE/Op0edPV50On0oNnmRl2XC53OYPEnEvCQbVJjZZYR8xO1WJKqv2ZsjX7Tj6Df9KPrCxiZNC67B5ZqO1qr7bBU29HT5gp5Xa4SIyFLi9s3pIfNLJKAn4NQzJ8xGw6KpUIk32IYnKXk8wbgcfkgFAkgUQiHLQgZY7B3uFFf3oXCf9SisaIbLrsHi+7/ZryJo6sfX+yuRGuVHVwg2OHN5/MgU4khV4khU4rA4/MgEPKgMcoQk6JCXKoaybkGCEQzI36ETIZxFywZGRkoKyuD3W7HBx98gMceewxHjx5FdnY23nzzTZw6dQr79u1DUlISjh07hieeeAJxcXFYtWrVsG1e/cvOGBv1L8LnnnsOv/jFLwb/3+FwwGw2j/d0Jk10ohKL1qWgcG8tNEY5dHEDiNJKr6tNtVyEu3LjcFducBVPr59DjbUPdV19qOt0ocbah8ZuN4obe9Dp9MDtvXY/lGQfHw0iLuQ5qYiPaKUEhigJTBoZFqXokRqtQGp0sFgaafyM3xdAa5UdA30+6OOjBvdHIjdeT7sLp/9Zj5ri4D46mhg5TLM1mL82EfHpWkjkQnTUO1BTYsWFLy1wdPbjO7/MD4ufl1Qhgsftn7aVmK+XSCyAaAy3eHg8HrSxCmhjFZizwoy3fv4FSg40IilXj9gUNQDg1Ed16Gp1YemDs2FMUkKpl0KuFM/IuBAylcZdsIjF4sFBt7feeiuKiorwxhtvYPv27Xj++eexd+9e3HvvvQCAvLw8lJWV4bXXXhu2YImNjb2mN8VqtV7T63I1iUQCSZiNlcheakLpwSbY2lxQG2XXXbBcTSzkI9ukQrZp6Ht8Lo8fzgE/vH5usEelu6YXpkwtxF/3uERJhVCIJzaYsfpMB068Xw1Xr3fwucQcHe59Im/GTAGNBK5eD059WItLp9qh0EhQ8HAGUuZGD7nKqTkrOFg0MVuHA3+swMUTbcheNv375kjkIoBhWlZini4CER+Pb1+Of/3HWez9fQluvScZc1aagzMKTQrkrUiY7kMkJKxd9zosjDF4PB74fD74fD7wrxrDIBAIwHHcMJ8GFi9ejEOHDoWMYzl48CCWLFlyvYd2QwR8HP7x+xLY2lzwewIAD4jSSqCehqmQCokQCknoj7TJ7kdijPK62/b0+3Hozxegj1fg7i150MbKUXqwCWc+bsDZz1owe4Fx0gs0EopxDJWn2vH5rouQKUVY+t3ZyL09fky3BVLmRiN7aRyO/K0SAy4f5q9NGvUzU0kdHfz9qCxsw5yV5rDo9bkRxFIh1j09D6f31+PM/gYU/asejAHpC0f+A40QMs6C5fnnn8fdd98Ns9kMp9OJPXv24IsvvsCBAwegUqlQUFCAX/7yl5DJZEhKSsLRo0exa9cuvP7664NtPProo4iPj8e2bdsAAE8//TSWL1+OV155BevWrcNHH32Ew4cP4/jx45N7plPE7wvA2uBAzCwVDOYoRJuVSMzRQ6mLnIu3zxvAqQ9rwTiGgocyBvdCEn09YPLkP2pw8h81MCYpccf3MxGdOLYCieMY2mrsaDpvg6OrH26HF1yAAxdgEIoF0Bhl0MQooI2VIzZFDWnUzfGX+JUCPg4dDb1orbKjptgKm8UFc7YOq3+UDdk4tnng8Xi44weZaK7sQeHeWkQnKWHO1E3hkY8sOlGJvDsTcOJ/atB0vhv3bMmb1Fk04Uwg4mPxt1ORc7sJzRdsEIj4SJtvnO7DIiTsjatg6ejowCOPPIK2tjao1Wrk5eXhwIEDWL16NQBgz549eO655/D9738fNpsNSUlJePnll7F58+bBNpqamkJ6YZYsWYI9e/bgV7/6FV544QWkpqbi73//e9iuwdLXM4DCvbVor3dAY5Rh/pok8Pg8eNx+mGZrkL4gdkLt9nb2w1LTA3t7cCl9mVIMpUEKc6buuvZMEYr58HkDY7rfPpRAgMOOp44CCG6mGG3+phiZvzYJeSsS4HZ6YW1wonBvDYr21+OeLXkjtmlrc+HClxZUn+mA2+GFXC2GNlYBhUYCgYgPPg/wegKwNjlRdcYa7LkCoDMpkL4wBnl3mid8PuGCMYbezn601/ais8mJ8iMtAABtrBx+Hwe/j0PAG4DPy4FxDGKZEOYsLQoezoApTTOh7+TxeHj4N4vw8R/OYf9/lGPNT3KQMjd6Es9qfG7fkI5osxKf/fUiqs90IGvJ9N+qupFUehlybh96xhAh5FrXvQ5LuLhR67AUH2jAqQ/rhnxtwX2zEJeqRkKmdsxd3FyAQ/UZK+rLOlFb1glc8dMQy4RIzNFhVp4BqfOME5oR0G3pg1gqnHCPT02xFZ/+qQIKtRiPvLwEAuHwx/DZOxdQfcaK5Dw94tO1MKVroIsLDspljKH1Ug9KDzWh6bwNMqUIsxfEYPatMSGrAF+NMQZn9wAsNXbUlXaivrwLEpkQWUtNyF0eP3hrYSZw2T2oKbbCUmNHW20v+h3BsUBqoww+TwBCER+z5kRDKOIHZ9AIBRBJBYhJVkGfEDVpU1cDPg6H/nIedaWduG19KuatThwxX+0dbjhtAxAIeVBoJFBoJCNO27dU2/HVvjrYrW7weDzwBTzIokRQG+VQ6qQQivmwtblgbXDA0TUAvoCH9c/OR+ws9aScHyFkZhnr9ZsKllH4vAGUf94Mv5dDtFmJmFkqnPigBm21dvTZPNe8f85KMxJzdGOa1mzvcOPCCQsunWqHzxPAovtTkL4oBgIBH71d/ag+3YGKY61QG2XIWW7C7PyYcS+y5er1wO3whvSMhLxu96CrtQ8SuRDGJNU1F0V7hxt/f/k0YlPUuH1jOnRximG/a6DPhwsnLKgr60RnoxMcx6DUSRGfrkF7vQP2Djf0CVGYt8qMtPyYCRVgvZ39qDjWiosnLPC4/dDHK6CJUUCmFCE6UYmEDG1YLaXOOIbmizac/9KC+vIu8Pk8xMxSITZVjbhUdfBW1zQMOuU4hq/21aHkQCPS8o1YtmE2FOpvBrF73D7Ulnbi4gkL2uuuXeNIZZBixSNZSLhqhdWGc13Y/5/lMCYpkZQb/B0IBBj6HV7YO9xw9XrgHQhAGyOHMUkF4ywlEjJ0Qw4YJoTcHKhgmSSXTrXh8Dvf7I0jUQiRMjcaujgForRSDPR54Xb64PMEYGvtQ9MFGwoeSkdqvhGyqKH/EeY4hsrCNlR91Y7WKjuS8wwoeCh9yEGrXS1O7HujDBzHkJitR/qCmFG3kO9u7UNHgwN9PR64HR7w+TyIJEJIFSKIJHz09Xhg73DD2uSE8+sF7wBAphSh4KEMpF51P73xfDc+++tF9Du8iM/QIu+OBCTn6UecGeTzBNBe24uq0+3otrgQnaRE6rxomLN0kzLA0ucNoOFsFxrPB9e1cDu86GlzgbHggM7kWwxIu9WImFmqaRvQGfBz+PgP59B0vhv6eAVybo9H+qJYSGThs+dodVEHvnyvCn4fh6RcPaLNSrTX9aLxfDe4AIM5U4uc5fGINisR8HPos3vQZ/Og+EADpAoRHvw/t4a0d/y9atSUWPHYvy2habmEkDGZ8pVubxbJeQaoDMGVbLWxChjMUbBU21F9ugN+3zezn3g8DG7i5vNy8PYHIIsaus2a4g4UH2iE3xvA6k3ZmL0gZtiLqiFBiQ3PL8DJD2pQXdQBvzcAV68HsihRsIeCxwOPB4AFezja6x1oq7Wjq7kPAMAX8CBXi8Hn8zDQFyysFBoJ1EY5UuZGI2aWCjHJKrh6vTj635U4/n71NQVLUo4ej728BLWlVpz7ogWf/PEcorTB6bSXF9K6mkgigDlbB3P21AzsFIkFwVtKC76ZXTHg8sFSZUfThW5UF3fg7OfNUBtlyFthRubi2OsaCzQR1gYHms53Y/H6VMxbM/Jtl+kye0EMzNk6nP28Gc0XbGis6IY2Ro7F305FWn4MorShSwdoYxVor+uF0zaAlDnXjn9RG2Xod3jBAITf2RJCZjIqWEYhkYvw0IuLUHW6A6c+rIXN4gqOu5ilhHcgAIEwuFqn3xdAV0tfcFXRTN2IYyuEIgGcXf2YtyYJ6QtHH6QbpZVi9Y9zoI1ToPiTRtSf7bqiLT7A54EFGAJ+DuABidk6rH08F7EpaijUoQtQDbcoX1/PAHq7BpA2b+hBmAIRH+kLY5G+MBadTU68929FOP5e9bAFy3SQKkRImReNlHnRWP4Qg6XajvNftuL4+9X4al8dspbGIfO2WOjjo25I8RCdpIRQzAd41y6OGE6kChEWfSsFi8aw229vZz8+/kM5YpJVIau1DrYVJQLHBZeQv1nWVyGE3BhUsIyBUCRA9lITjEkqfPDKGfS0uxCdGIXZt4b2jKTlj20tBYlciMwlcSj5cgsEyAAADnBJREFUtBE97S4s++7sUcdd8Hg8LLh3Fm4pSEB7fS98AwH4PMEHAPD4wYtFfLo2ZCzCUO1craXShv3/WY6YFDWWP5Qx6vH3dvYDwJinL08HPp+HhAwtEjK0cNoGUHG0BeePW3D2cDM0MXKk5RuROt84pSv1OjoH4PdxEXPhZozh4M4KiKVC3L35lpAxSIwxdDQ4UHa4ecSB2YQQMlFUsIyDISEKKx7JxKE/X0B3Sx/OH7NAqZdCZZBBbZQhPl07potTfLoWAhEfErkQ1UUd+O+XvsL8tUmYvzZx1E0TpVGiSe/VOPNJA5R6Ke57Mm/U72+utOHTP1VAqhBh9absST2OqaLUSbF4fRoWfisFLZU9qCkJ3to683EDVAYpTOlaqA0yyNXi4CwYtRgypRgBHweZUjy43sx4nf5nHVR6acQsCubzBGBtdGLOKjM8Lv/gWChLlR0N57rQ1+OBQi3Gt56aEzFFGiEkfFDBMkYBPwe71Q1zlg7rn52PC8ct6G7tQ0tVDzg/g1DMx5xVZmQsjIU2dviZNJfFzlIj2qyEMVmFpopuFP2rHs6ufqz84Y0vAgRCARgLTne9umBhLNi9320Jrp1y6at2mGZrsOYnOTNuOX6BkI+kXD2ScvUIPJyB5os2NJ23oa3WjobyLgz0+Yb8TFq+Ecu+O3tcC9d1t/ahtrQTKx7JHNfO3eFMLBUic3Eszh5uxtnDzYPPq6NlmDU3GqnzohGXpqGdgwkhU4JmCY1Be10vPv5DOfqdwQuawRyF+AwtZF9fwBrKu9Fe14uM22KROt+IWaPM4rlay6UeNJ7rQsXRVvzo1WU3fHBoe10v/vlmGfxeDmK5ECKxAEKJAAE/B3evB35vcHCxTCXGom/NQvYyU1iPyZiogJ+D2+GFy+5Bf58PQiEfnc1OlB5sglguxL1P5I04rfsyjmP46N9L4bQN4Pv/97YZsyPxWDDG0NPmxoDLC76QD020/KZcgZgQMnloltAkaqnsQb/Th9gUFfxR3RD5ONSWWoPrsHxd7kUnKiEQ8aE3Kca02/RljDGo9FIoNBL4fRxaq+zjLniuV2yKGg//5jbUlXXCO+CHzxOA38MNzjBSqCXQxMihj1fMuF6V8RAI+VDqpCGL7JmzdUjLN2L/f5Vj72sl+PYv5kEfP8z0r6+d3lcHS7UdqzdlR1SxAgTHQOlMCgCjF26EEDKZqGAZg3mrE8EFOBR/2giBQAp1PAehhOHr2cQAD+hscsLe4YbN4oJAwIMmRg5DohJ6kwIxyaprLvQd9Q40XegOfs7qhr3dDYlciGjzyBfDqaLQSHDLHbRb7FBUBhnW/+/5+PD1Uny+6yK++9yCId/n6vXgwnELSg82IWtp3JhmgBFCCBkbuiU0Dk7bAC6esKCjwQGRRIjEr9cZUajFOPL/KuF2+iAU8eF2eGFtdIALMCg0EuhNChiTVUjM0SEuVYOuFifqSjtRtL8BMpUYiVk6mNI1SMrRQ6EZfoYPmV61JVYc2FGBpQ+mIT5dC6GYj/4+H+wdbjSUd6HhXDf4Ah5yC+KxZH1qRPdGEULIZKGVbqeZd8APS7UdzRdtaL5gQ0+7O7gUe2pwv5SznzcjOdeAu36aSyuCzhAcx3Do7fOoKbGG7PkEHhBtViJrSRzSF45/+wRCCLmZUcESZurLu/DVR7XobnUBABJz9Lhnyy20ZsUM5B3ww9bmAhdgkMiEUEfLIJzhu0cTQsh0oUG3YWZWngGz8gxw9XogEAbXYInEmTY3A7FUSDsLE0LIDUYFyw020iq0hBBCCBka3Y8ghBBCSNijgoUQQgghYY8KFkIIIYSEPSpYCCGEEBL2qGAhhBBCSNijgoUQQgghYY8KFkIIIYSEPSpYCCGEEBL2qGAhhBBCSNijgoUQQgghYY8KFkIIIYSEPSpYCCGEEBL2qGAhhBBCSNiLmN2aGWMAAIfDMc1HQgghhJCxunzdvnwdH07EFCxOpxMAYDabp/lICCGEEDJeTqcTarV62Nd5bLSSZobgOA4WiwVKpRI8Hm+6DwcOhwNmsxnNzc1QqVTTfTjTjuIRiuIRiuIRiuIRiuIRKtLiwRiD0+mEyWQCnz/8SJWI6WHh8/lISEiY7sO4hkqlioiEmiwUj1AUj1AUj1AUj1AUj1CRFI+RelYuo0G3hBBCCAl7VLAQQgghJOxRwTJFJBIJXnzxRUgkkuk+lLBA8QhF8QhF8QhF8QhF8Qh1s8YjYgbdEkIIISRyUQ8LIYQQQsIeFSyEEEIICXtUsBBCCCEk7FHBQgghhJCwRwXLBFVVVWHdunUwGAxQqVRYunQpjhw5EvKeoqIirFy5EhqNBlqtFmvWrEFZWdmI7Xo8Hvz85z+HwWCAQqHA/fffj5aWlik8k8kxWjzeeecd8Hi8IR9Wq3XYdu+4445r3v+9733vRpzSdZmqeERqflz2zjvvIC8vD1KpFLGxsXjyySdHbDdS8+Oy8cYjkvNjqN+Vt956a8R2Izk/JhKPmZofgxiZkLS0NHbPPfews2fPsqqqKvbEE08wuVzO2traGGOMORwOptVq2Q9/+ENWWVnJKioq2AMPPMCMRiPzer3Dtrt582YWHx/PDh06xEpKStiKFSvYnDlzmN/vv1GnNiGjxcPtdrO2traQx9q1a1lBQcGI7RYUFLDHH3885HN2u/0GnNH1map4RGp+MMbY73//e2Yymdju3btZTU0Nq6ioYPv27Rux3UjND8YmFo9Izg8A7C9/+UvIz9rtdo/YbiTnx0TiMVPz4zIqWCags7OTAWDHjh0bfM7hcDAA7PDhw4wxxoqKihgA1tTUNPie8vJyBoDV1NQM2a7dbmcikYjt2bNn8LnW1lbG5/PZgQMHpuhsrt9Y4nE1q9XKRCIR27Vr14htFxQUsKeffnoyD3fKTVU8Ijk/bDYbk8lkw8ZnOJGaHxOJRyTnB2PBC/TevXvH1Xak5gdj44/HTM2PK9EtoQnQ6/XIysrCrl274HK54Pf78cc//hExMTHIz88HAGRkZMBgMODtt9+G1+tFf38/3n77beTk5CApKWnIdouLi+Hz+bBmzZrB50wmE3Jzc3Hy5Mkbcm4TMZZ4XG3Xrl2Qy+V48MEHR21/9+7dMBgMyMnJwbPPPju4M3e4mqp4RHJ+HDp0CBzHobW1FVlZWUhISMCGDRvQ3Nw8avuRmB8TiUck58dlTz75JAwGAxYsWIC33noLHMeN2n4k5sdl44nHTM2PENNdMc1ULS0tLD8/n/F4PCYQCJjJZGKlpaUh76moqGCpqamMz+czPp/PMjMzWWNj47Bt7t69m4nF4mueX716NfvpT3862acwqcYSjytlZ2ezLVu2jNrujh072KFDh9i5c+fYu+++y5KTk9mqVasm8cinxlTEI5LzY9u2bUwkErGMjAx24MABVlhYyFauXMkyMjKYx+MZtt1IzY+JxCOS84MxxrZu3cpOnjzJSktL2WuvvcbkcjnbunXriO1Gan4wNv54zOT8uIwKliu8+OKLDMCIj6KiIsZxHLv//vvZ3XffzY4fP86Ki4vZli1bWHx8PLNYLIyx4BiFhQsXskcffZSdPn2aFRYWsgceeIDl5OQMe59xuIRatWoV+9nPfjal5z6UyYzHlU6ePMkAsDNnzoz7mM6cOcMAsOLi4sk4xXGZ7nhEcn68/PLLDAD79NNPB9u3Wq3j7q6OlPyYSDwiOT+G8tprrzGVSjWuY4qU/BjKaPEIt/yYCCpYrtDZ2ckuXrw44qO/v58dPnyY8fl81tvbG/L5tLQ0tm3bNsYYYzt37mRGo5EFAoHB1z0eD5PL5ezdd98d8vs/++wzBoDZbLaQ5/Py8tivf/3rST7b0U1mPK60adMmNnfu3AkdE8dx19yHvVGmOx6RnB9//vOfGQDW3Nwc8h6j0ch27Ngx5mOKlPyYSDwiOT+Gcvz4cQaAtbe3j/mYIiU/hjJaPMItPyZCeB13kyKOwWCAwWAY9X1utxsAwOeHDgHi8/mD9xDdbjf4fD54PF7I6zweb9j7jPn5+RCJRDh06BA2bNgAAGhra0NFRQV+97vfTeicrsdkxuOyvr4+vPfee9i2bduEjun8+fPw+XyIi4ub0Oevx3THI5LzY+nSpQCAS5cuISEhAQBgs9nQ1dU17JivoURKfkwkHpGcH0MpLS2FVCqFRqMZ8zFFSn4MZbR4hFt+TMh0V0wzUWdnJ9Pr9ew73/kOKysrY5cuXWLPPvssE4lErKysjDHG2MWLF5lEImFbtmxhFy5cYBUVFewHP/gBU6vVg916LS0tLCMjg3311VeDbW/evJklJCSww4cPs5KSEnbnnXeG/bSzscTjsp07dzKpVHpNlc/YtfGoqalhL730EisqKmL19fVs//79LDMzk82bN++mjAdjkZ0f69atYzk5OezEiRPs3Llz7L777mPZ2dmDywDcbPkx3ngwFrn5sW/fPrZjxw527tw5VlNTw/70pz8xlUrFnnrqqcF2bqb8mEg8GJuZ+XElKlgmqKioiK1Zs4bpdDqmVCrZbbfdxj7++OOQ9xw8eJAtXbqUqdVqptVq2Z133skKCwsHX6+vr2cA2JEjRwaf6+/vZ08++STT6XRMJpOx++67L2RqdLgaSzwYY2zx4sXs4YcfHrKNq+PR1NTEli9fznQ6HROLxSw1NZU99dRTrLu7eypPZVJMRTwYi+z86O3tZZs2bWIajYbpdDq2fv36kHO72fJjvPFgLHLz45NPPmFz585lUVFRTC6Xs9zcXLZ9+3bm8/kG33Mz5cdE4sHYzM2Py3iMMTaNHTyEEEIIIaOidVgIIYQQEvaoYCGEEEJI2KOChRBCCCFhjwoWQgghhIQ9KlgIIYQQEvaoYCGEEEJI2KOChRBCCCFhjwoWQgghhIQ9KlgIIYQQEvaoYCGEEEJI2KOChRBCCCFhjwoWQgghhIS9/w8spQMhvyl0xQAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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EhrAuzUZetISnQMVyKYzTb74TksdgSOmEDdswOztg/AVs3V3Bt4NS6GcxdavnGe02Hn7tNTq3rufZDhu74zMoj0nGHRJKeIAvWQYVDpeLi1M6MdYsR6kGR4WEvUyF2yYRCzQbVOR+sov0DDeYAkFnOvhDEQRBOCntbWERXULCqcpnaDjGVYG05jXSvlONvDmfrzTNvOiZjU35xZIOZjB02OmTtwtbi5VhSj3TWUnsmhLWZifzlyvqmLitjSFlLYRVt+A2KTSFgFMTgNYVzAvbSnjZMIPW9CC+WPUz7q8Xoa8uQaPVMeOef7Bc8o4esmq6jyLqbGvlg3/+Bb+GRlb3HUnRwNFUSxriPA5MdZXsLq9ldWQCnWdCUaGLh+MT0K6qwFnUijrAgOSvp7mqnTidi1SVRNPiavyGlSJ5Oo/g6Uhg9ANjgDfI0Vu6ml0FQRB6lX1vTaKFRTiVqX10aAINRMx08rMqmyfmrSVS7eSSKCeTP3+fKjVsTh/JT6oINlT3J9lYB9TjY5uIJ6aZ7GYDSa5xfJ69kLdHFSPp65FQiHSpGeOA6O1BbCzVg1SJn6EJPHY8Tgd+EVGcc+ffCQ4P50y3h6eMOs7elM+tMSGM9PPBV6Nm7RcLaWxs5M0Lb4LAEPw1Gpb2iSPdx4jH7ealqy+hw+2m897n+a/USPo3u7mgzkOBRUd9u5umojZ0ejXjLk3FT5Fp/qwQVWA01slxADg9Tr4s/JJl5csobysHIM43jgmxEzg9ZhIaZzt0NELdLnAc4Srjet+9QU4AGPxwNzXhaW5GZbGgCQ4WI6IEQTjmupZX6R3xighYhJ73yaZyEoJ9eOmsFBZ++gmLhwzAv7UV2djJUFUJRfZA8juDCcxuJT3/PZT6FvD40xaUTULHGRRW+OCTVsb/vfIKKYu/QRsaiix7KN+xnYVPLkKROxl+QR8iUtKISsvsmuzIrFHzRXYyDxVW8khhFa693xLGFVeSodFxdUYK/1fewL3xYaSavOtSqTUa1FotWkcnV4cW8N/6AJ4aaGJY279QE0WEZwT9Q8aTmB2C3qQFoPmzQtp+LMM60kL9yv/juoqv2aOSGeRwMVRtRvaPY1dHDfeuuJcFwQt4ZeIrWIKSjvwBKgo42lDaaml67RUaF36Dq6q+a7cm2B//M0YSOG0C0i9HP2lN+1tyjP6gPvDlbndU09G+B1AwGqMxGKJ/M/hprq4iZ8lXlO/cTntLMyqjGW14FH7R8fiHhRMcHExiYqJY60sQTnL7U1jEPCzCn0Sgj566NgfGwEhmz57Nru8/oX3pO2htHTRqdOxW+7BZSWJ9Rzo7EoYytaOTqEYZgw2CbTAYYEMse4aOJS0oGPBG/m53OBrjEJIGhTD0vP1LRnjcMtWFLTTVdICi8LcgHx4ZEs4el3dYsyF8Gqse24DmnZcJG3IGj+a0sf69dcRIMhZJxu7uoM/VCv/a9gNI0/mr8xsMnRbUEbvpdH2L3fQtat0rKLKGjk01APgOluHVkTxrkmky+/C/2AtI0QdA9TbY8RkY/ck592kuX3E3N31/E3OGzWXeij0s311HZbMdnUZFcqgP5/SL4LKhMeh/2Y0lSWDwpeqBx2j58kusZ5+Nz/jxaIKD8DQ1YVuxkroPPqWjpJXoV1/dH3A4O6CjAdoqoXY7yPtHSTU7Cshv+h+tzuJuvyuTNoKksCsJDj3T25qj6R505K9bzdfPPYlWpSJE0tDsF0S9TxC0OdBv242yswAnbgx6A6efcTr9+/c/4O9B8Si4atrxtDlRaVVow8yo9gZ/giD0Ir1slJCk9JYZYf6g1tZWrFYrLS0t+PqK+TFOtO/mvkhtcSEzrp5KQ9hoLnhlNY62Bub5vU2f1p9QgDZZj1Fyo5U8lHhCuNd5KwNb+9AmKaw2uKjQukkw1XN7g4lOyZ9yh4YgHw0h0RbK6jpprbcT1zeIKddmotF5P+Dzfq5m1cf5dLa5vK81SUKRFXRGDYOnxtFvQjTt7e3MffVV2traaPO4+HLIZFosfgQ312FxOtBY7FQYw+nExN/iI7g1yJ+Gt3bgLGvDnribksTH8LH3JybnHjytTkwDQ/HnP0gV67kkPoX4gBTmjJ6z/2G0lMMzmaDWkxUTCoCn8EnMeg1Ts8KJCzThcMtsLm3mu5019Im08sF1QzHp9n+fcBQVseeMMwl/9BH8LrjggOfdungxFXfeRei9fyfgiisO+7tpbtnIpk0zsFj6EBN9FRZLJpKkwtaeT0XZOzQ0raBP1D2EajPA4+g6z+1y88qj/8XUqSXQmUxVqpV6cydD3Mkkdvrg7mzEaTChNlrJ0RSTr6pi1qxZJCQkAKDICm3Ly7GtKEdu3x88IYEhPRC/sxLQBBh+XV1BEE6Q5uoqXp99HdP/+Sgxffr12HWO9PNbtLAIPS7QR88Xt42i6ZXT8WvN427nDXwjD6FD7UJtbeaegi+YHLmTN9SP8G77yyRb36afFEG8+0IMjgga5RLwlKGYBlJnczOwoo3AcB/8ZqYRlbp/HpU9OXV8/+YOkgeHkj0phsAoHySgqaaDbT9VsOrjAtQaFZWO7bg8Hm6bPRvsHVxVWsoPzg62hYfSpDXQWr+K0bYC/jnhDhJN3g/Q4Jv6Yd/ZiH13GCU8hs2Qg7FfMMasIPQxvvBGFYT2YUzsaOblzqNvcF+mJU3DoDGANYoOSeJ9H29rhW/HNCIjrLx51WDM+u4vwa3lzZzz4ipufHcTb1+9fy0txeUCQGWxHPQZq3x8APC02X7z91Fe9jZmUwIDB3yASrW/ZcNojCEo8DR+XJrEtvInCD2tsNt5Wxbn4nS5UHynoA/PpFm7glR3DI3N4dgjZAb47uDrlSsJ1vtw9sQbeG5PFW+//TYPPvggAC1f7cG2phLzsHBM/YJR+xtQHB4ce1poW1ZG7StbCL1jAGqzaG0RhF5BzHQr/Bn5upvwbdkA58/j8aJVPFj8fwxxj0YT9A3r6lPp2J3BHcmrONf6KIsMgQztPI9CbRElzV9ib/SwclwjY8qGoO1wUzMsmJh19QTY3d3yLXatqSIswcqkqzO6bQ8INzPmkhRyl5WzfMFuwibZsFqt+Pv7I0kBBEREkfmLur7x5t+Ijt6GqSUVxXgOkqRGUkkYMvxoDlgOOyEi/CL80hP2n9TvYvhyNtf5RlAfNYHHfn6MpzY8RbQpFKWjgdLYKGRJxdV9rmL+1+kMGuJ/QLACkBlhBWD57rpu2/XJyZhHj6bynr9h374Dy/hxqIOC8TQ1YluxgsY33sTQry9BN97wm78LlUqPx9OJLNu7BSwAiuI66DmVBc2s+awWnWJG4/mBkRcMZPHnRuoCbIw/N5Gf5q+jvKgCgD6bt9HyUBzs+YlYTxAUfI/iBtsaHb4DPfhmFoO6EdRxEByMNsSEMSOQqsd+pv7NbYTemv2b9yAIQs/rehvtHfGKCFiEntfh6uD9gk/5LjKCos2P4pEkIk12LrLsYWnTWfyctIJBmmYA8jv6Yqu/nHy9hob2NhRtLKp+QZxbPQFbnYsvBps5Z0IcrKun7adyTP1Duq5jsuqpKWrF1uTA8quuBXv7/g/i/v3788477/Dhhx8yatQowsPDkSSJhoYGNmzYQFlpHxLizezY+RfyCx7DbE5GcXho78jHLbXgZxtNyI6ZdLjrMWYEIqklGHAFODvQLH2MfznbuMJgZrlBR5mqHpVGx8WJUxg38j7CfcJpqdjOvBV7MOs1TB8YRYivAVlW2FbZwnPf56OS4JObRnSrvyRJRL3wPHXPv0DTu+/S8N//7t9nMGCddh4hd92FpOn+km5qamLHjh3U1NTg8Xjw9fUlOmYKTte3/LzuLEKCT8ftbsXuqMblasZur0CSNPTvP79bOaXbGzBZ9YxUB7GqooBPn3iIITGXsEIq4n9fvYZa34RKkgm3+5FzzbWUvvUWYbIf5048G5JiwS0jadYg6yMhKRHsLdBUDNVbAZAbJUCHWt0ChUvBLwas0aDRIQjCidK75mEROSxCj9iXw3Lm5WO5Iu8NKtoqmGhNIaNwFRqDlT16A9/SDkjMrW8jo6OFSpWOLe3BVDkuQHGNxe7xjvaRNRLloVqWp+q5v28Uw9Y0YM9rIuyvg9AEGruuaWuy88mTG3G0u0keFEJQtAVJJdFY2U7++hoUFKbdNYDASB927NjB4sWLaWtrA7wBgaIo6HQ6xo4dy4gRI2hry6Wu7gda8nNxN9jReyLw14zCLKfgquvEXdOBNtIH6dxw1uaso6CgAHtrPfGqSmLMbsLCI4jJHoc2cVy3SeWcbpnHv9nF22uKcXkUzDo1Lo+C0yMTbjXw8Ll9mJgReshnqzid2PPz8TQ3o/b1RZ+cjMpwYO7H8uXLWbp0KRqNhtDQULRaLY2NjbS0tBAXZyQ5ZQl2e/EvzpCQJDWK4iYoaCKZGU+j0ZgByN9Qw5LXtjN+eiymdx+lassmOiJTCUu9lHx9E8VSPR0qJ1qVhL/kS4IzmP7DBuJ/VmJXa1fb8nJaFhWhT/Y7oEuofV01mgA9wTf3R6WWoaUMmstA7t7ioygKzlo7nWXNyA4ZdUAAxuwB6KIij/yPUxCEI9JaV8u8W6/mgvv+TVy/AT13nSP8/BYBi9Aj9gUsNafJfFy3nvfOfI94azxU58LaV6B4JS0dtYyK9I76yXWFQfQQlKSJrLD2ZXFBE5N/rCW22Y1dJ9FuUOMng7HDg8qsJeCiFAypAQdc197uIuf7UvZsrqO5thNFUfANMhKXFciAybGY/faPevF4PJSXl1NfX4+iKPj5+RETE4NOt/9bffu6apoW5uN3XhLmwWFIqv1dTY7SVra+soxv9Vsw+ZrJzMwkMDAQt9tNRUUFO3bsICgoiKuuugrDQQKKxnYnawobqGrpRKtWkRJqYVCcP1q16rDPdkdlK2+vKWZ9cSON7U4sBi1ZUVYuHRzDqOQgAPLy8vjggw8YPXo0o0eP7ronRVEoLi5myXcPkJS0ioT4uwgOnoJKpUWvD0Ol0lJb9y3btt1KUNBE+vX9L9hbUHI/4cfFCrsq4/E3NRNs6UBxqmlv16AjgCAtuEz1NGvbqDI30JBoZ+KwqQwKG9St7ptzqvigoIbtkpsOtUSAU2Fgu8Ilof7EnRaHynDoRl/HniKq7ruPzpwcACS9DsXhBMBneDbh//cCmsDAwz47QRCOXGt9LfNuuZoL7n2IuP4De+46IulW6A1qHM1E+UQR5xvn3RCWBee9DIAV4K0s7/ZrvwO8DZBjgDFBgeyIDmbeR9vQ1XQQYFPRgUIeHnaj4rr6Fq5MOXDhQoNZy7BzExl2bqI3UUyhK8hoX/sz5R98QOeWLXhaWnD7WalMiKYxwIpDkdHo9OT4heATn4QxJBiTyUREng5tmBmfoQeuF6SP8WWNbjdBsoWrb725W6ADMGrUKF555RXee+89rrnmGgAaGxtZt24dRUVFtLW1odPpCAsLo3///qQmxP7mHCgfrS/j759uJcLPyGlpIYT6GmjpdLEiv56Zr//M9WMSuO/MdIqKivDz82PChAndzpckifj4eIKC6mhtCSY29iZUqu4BUmjIGWwD6uu/h+KV8NEspM5mTgvPJiU4m90V0TQ0mnAreqr83Gw2fYFPXxeDYwdi1fvh6nCyvnQd7337MX8f8ndmpM8A4IWSGh5rqiE4XMNQixVfBarcHuba2nlL1cnrnZ2MMhw8qdhjs1F65ZWofHyIevklzMOHozIa8bS20vb+C9S+/TVlN95E3IcLuubhEQThj9rXJdQ7iIBF6FFnhQzi5h1z+fuKv3NN1jUk+yUDUN1ezUe7P0JC4rbs2w44r7i+nen/XUN0gImbLslgQIw/Bq2akoZ2Pt5YzkNf7qDN7ub2CcmHvLYkSV1TS9e99BL1L7yIPi0N6znnUC95WLp+JZ62Rix1zTgD07G7FZSiXJSNK1EZs3EHxRNhcDPWnU7ddwUEjo/D1rGDNttOPB476mYLLk0r0ZrkA4IVgKAgb2tHWVkZALt37+ajjz5Cr9eTmpqK1WrF6XRSXFzMggUL6Nu3L+edd94BAcQ+LZ0u/vn5Ni4cGMWj07K6tcQoisJrK4p4dNFOMiN8SYiM5LMdeVy4YhP5Kh31LjcWtZp+FhNn+WhwtlhpMWq54rVv2FGrpa3TjZ9Jy8BYf6b39z40ozoYPrwcQjPh/LlIvhFEA9EAHY2s/+I65jh281jfWzk7u3uy7439buSvP/2V/6z7DyMiRtAihfLonipmx4byl7gwtL9oqWpwurl0SyEX5hSSN6oPVu2Bb0vta9bgrq0l8b130UVHd21XexrxO+t0PLoIap94gtavF2E9+6xD/k0IgnDketsM2iJgEXrUaP905oyew5Prn2RR0SJ0Kh1qlZpOdycGtYGb+t3ENVnXHHDe/zaWYdCq+eSmEd1G0wRb9AyKC2D57jqe/m43t45PQqU6/IvKWVZG/QsvEnTzzQTddiuKIrPw1msISU0jLvtyNiyqwa9pN4ZID2mnz6QxfxO7ln+MoSkIOXoAu7U1RG3MY5djPk5TFSgSkqJGUbnpN1xNVXUSP/wYwoDsIfj5+SHLMhUVFSxfvhxJkrjmmmuQZZkvvviC+Ph4pk+ffkCAs3XrVj799FMCAwMZO3bsQe+jrs2Owy0ztW/EAd1GkiRxVr9wHl20k89zKhkzMY7Pssfi39JKalsjY8xGHBotuW0a/mr0JbzlcpryIMFaxNjIGkKsfjR1GllbaubqbYFcknEp/x4zHpaeDxP+Bb4R3StjCqA+42zY/BRD8n6EXwUsKklFgl8ClEBpaynlam8z7+zY0G7BCkCgTsMofwtbbZ1sau1gfOCBTcLaEG9ydfuaNfsDFtkDlZtRMs7Dkfc/APQphw5gBUH4nXpJ5ogIWIQed1bCWUyKncTGmo0UtRThkT1EWiIZHDYYX93B+ytNOg12l4fGducBw39l2ZugeqRcVVUA+Jx2GpIkYbe1Y2uoZ+RFs1j5SR3RETaSlj2HT/aVxEzui+e0DHYt/xhJ+ZnW6iwMfdx4Up/A4E4iqeF2jJ2paP3MqJLcNBqXIUnPUlvzDM89NwyVSoWiKF05MZdddhlRUVHY7XZsNhvp6ekHbY1JT08HYO3atYcMWBKCfEgLs3Dfp7k8eE4mY1OC0WlUyLLCptImHv5qBxaDhgem9WFMzm6uiAjkFlMgO7Z3UFtbg9vtZrKvLxu0BhZUw4QRUTw+woe6unLaO9aiKB5m9o1ifu4EFmwdzsUj0sg2+sOPj8D5c8EStr8ynU2MyPuRAI+HG7St3Fn2E0PCh2DUGGm2N/Nj2Y8s2LWAASEDGBM1hqJOJxoJZu8s5ZHkSEL1+4dT57R28FVdM2a1ilH+B+8SMvTti9/06VT/6wFav/oa88iRqO1luJUA2v5xAY6dOwm55x4MqalH/HchCMJv2Dc1fy/pFBIBi3Bc6NV6RkSMYETEiN8+GLhsSAwfri9j6vMruHRIDNkxfui1akrq2/l0cwUN7U6evzT7N1tXAIz9+qGNiqLirrtw3TqTHQlaNBH+/PD+XCTP6RhydtBuNtM8fBh+DfX89M7rAJx917/46sVK0K3BI6tJzv4vYWHR3cq2kkZd/Tcg5dK//xza2lyo1WqCg4OJiorq6t4xGAwkJiby/fffo9VqSUtLQ6vVoigKtbW1LFmypKs15lBUKok3rhzMHR/mcN3bG9CpVQT66GjpdNHh9JAYbOa9a4eCToVDVhgTYCEm2I+Y6O511m6vYgF11PtpCQoaS1BQ9wBppKucT7ZuYWOVg+yL3oaPrvDO1BsxACyh0NEEFRuwSirenPwg/6xdzq0/3gp4f8+OvbPjTo6dzD+H/RNJkkgw6Xk1I4678krJXt1MstmAn0ZNhcNJud1FsknPt4NSDmh92UeSJML+/RDmkSNo/uh/NMybi2xrRx0YiGlANqH3/h3zkCEHPVcQhN9Hond1CYlRQkKP+OXU/CRN/F1lNLU7ef7HfL7cUkm9zTsaRKuWGJYQyK3jkxiacOQjQnZtXUbJX+8mpqQDjwSNPhrywkJpNRlAMqIxmHG621G5OlFpdYRmnU5bTSIupxtN5rskp65l4IAP8PPrPupFlp2sWTsZu72M8eN2oFIdesG/jo4OPvvsM3bv3o2kktAZdShuBafDicVi4dxzzyUp6bcXRVQUhR1Vrawv2j9KqG+UlUFxAahV3uHZ524uoKDDzr8SIzgjyIpVq8HukVndbOOhvHJKl5QSY9bzz6kZjEoOwqBV0+F0s3RXHY9+vQOzXsPi2aPRqFXQ2QzbPobSn71rExmsEDkQsqaDJRRFUShoLmB7w3baXe0EGALIDskmzBx2QN1bXG6+rm9ha1snNreHYJ2G4X4+nBbgi+YIgk8A3A7IXwLpZx/Z8YIg/C62xgb+e9MVTPvbAyQMGNxj1xHDmoUT6lgELPsoikJjuxOnRybQrEenObpRIE32Js757BxCjSH8xX86iRUepNZ2HCYtq9zlbNlcSmBLACpFj0odgkqXiCTpkc2thGbD8LH9qK29l5bWTQQFTfIGLaU2Or9bhT1vF7LDjjV+BIHjL8B38iSkg3T5AHxX8h1Pb3ialsYWgu3BGNwGPCoPej891427jnGx4/7Qc/qlRpebv+aV8XVdCwBmtYpOj4wM9LUYuSckiFe+zmNjSRMqCcx6DTaHG0WBkUmBPHlhPyL8jIe/yImy43NIPRPUYgp/QehJtqZG/nvjLM67518kDuy5FkwxrFk4ZUiSRKDPoVsufsuKihU0O5r5/LzPCTB0n7vlIqAs6yne3voeT2Y+T4I2Ba1eTWCUD2br/mtGRr5NReUCqqsWUvPME5gXKygmFdqUIEyh2ciFTVR+/RfqExKI/u+r3UaygDdYuWvZXYyLHseMETNI9ktGQSGvMY93drzD7ctu5+WJLzMqctTvvs9fCtBqeL1PPKWdDta1tFPvdGPRqOlnMZLpY0SSJCbcOJy8mjZySptp6XThb9IxINafpBCfY1KHHlGZAyGZIlgRhONAjBIShOMsxOQdYbKmcg1TE6Z22+f2uNnduBuP2kViagQJfiEHKwKVSkd01Cz88qMpX3QzQbNnE3TNNd1aU+x5uymZOZM955xL6ob1SGp1174Pdn3AsPBhPD/++W5vAkGRQQyPGE6/t/tx0/c3kXtF7rG8dWKMemKMBw/2JEkiLcyXtLCTpEXSYYO2akg9/UTXRBD+ZHpHR4wIWIRT3tCwoUxNmMrfV/ydhQULGRo2FIPawLcl37KtfhsexQPABV9cQHZoNtf2uZYRkQdPDu7cnIMmOJjgm246YJ8hNQVdbCz2bdtQXK5uAYtZY6aivYJOdycmranbee2u9mN4t6ew/CWQcd6JroUgCCeICFiEU54kScwZNYcxkWNYWLCQN7a9gc1lQ0IixhLDuUnnkhaQRoWtgkVFi7jh+xt4YPgDXJhy4QFlmQYOoGHuXOpeeJHA669Dpd/fetG5fTvO4mLUVusBeSw39r+Rq765ivO/OJ9pSdNI9t/fJfRJ/idYtBbePuPtHn8WJ63SnyFqMIhZbAXhuOstma4iYBH+FCRJ4syEMzkz4UwW7FrA4+sf5+OzPybRL7HbcRenXsyFX17IQ2se4sz4Mw9oDfEZO5agW2+l/uWXaXz7bQx9MlEZTThLS3AWFKJPTiLqlVcPmB4+MzCTj876iFe2vMKb29/salWxaC2MjxnPTf1uIsoS1bMP4WTV0QhOG/hF//axgiAcMyKHRRBOsA53B1qVliBj0AH7JEnCqPGOjtnXVfRrwbfegu/UM2ldtAjH7nwUhwNdvxQ0M4ciDY2kUbMBa6eM0dj9AzbOGsfjYx5HVmQa7Y1ISPgb/HHLbopbi9lat5VgYzBh5rBe90ZxQhX+CH0uONG1EIQ/r17SxCICFuFPZ2r8VN7Y9gYzF83kuj5XM8AQigkV5ZKHryuWk1ufyxUZV2DRHXzWVQB9fDzBt9xCZ2cFO3f9naamJQCoSnTIsnfOmMDA8aSnPYpeH9rtXJWkIsgYRH1nPQ+sfoBvir7B7rF37Y+2RHN1n6u5IPmCExq4NFZWUF24G7vNhtHXl8iUdHyDD56U3GP2/ATxY0EEcIJw/PWy150IWISe1TsC825CzaG8PeYZ5iy9i/tX/6vbPqsicVv0ZK4aeOdvluPxONicMxNFkemT+TyBgWPQaCy4XK3UN/xIYcETbM65kiGDv0Sl6v5Sa3O2cfmiy+lwd3B93+sZFDYIk8ZEpa2SxcWLeWjNQ1S1Vx10Ycie1lxTzZJXn6Nsh3fEklqrxeNyAZA4aCiTrrsVs59/z1ektdI7fNknuOevJQjCIYmp+QXhRGlvIOHDq5jn6qRuwEx2+4dhlyRC7B2kFSxHu2IeWFJhyHWHLaalZQOdnaUMGfwlFktG13at1pfwsPOQULF9x52Ul79NTMzV3c5dXLSY6vZqvpz2ZbfcldSAVMbHjKfJ3sTcrXO5NO3Sg3Zd9RSXw87/Hr4PSaXi7Dv/Tly/AeiMJuw2G4Ubf2bF+/P5dM6DzJjzNCqV+rcL/L0UBUrXiK4gQRC6/KGU+zlz5iBJEnfccUfXtk8//ZQpU6YQFBSEJEnk5OQcUVmffPIJGRkZ6PV6MjIyWLhw4R+pmtBb9K4WRa/Nb3sTOW9YTvDEhxg58CYmDLiRrBF3ob18IQQkwKK/gNt52GJ0Om8g0dT88wH7FEWhrW0bABZL5iHL6C3fXPYp25FLa10t0+75FynDRqEzepOODT4+ZI6dwIjpM6gtLiT3hyU9W5GC7//wDMmCIBwjJ3sOy/r165k7dy59+/bttr29vZ2RI0cyffp0rrvu8N9Q91mzZg0XX3wxDz/8MNOmTWPhwoVcdNFFrFy5kqFDh/7eKgonOUVRqCpooWRbA60NnahUEv5hZhIHBOMfZv79BctuUKlBYzhwnySB6sheFj4+qURHXUl+/iPU1S1BZT2NIjmMNqcNtW0NQe3fkhx3K/7+B/4NnxF/BvO3z2fG1zOYmTGTQaGDMGvNVNgq+KboG9ZWreWGvjcc19YVALPV29VTtmMbgVEx3fYpikJdaREAwbHxPVeJxiIwBXjXLBIE4YTpbcn/vytgsdlszJgxg3nz5vHII49023f55ZcDUFxcfMTlPfvss0yaNIl7770XgHvvvZeffvqJZ599lg8++OD3VFE4yTk73Xw7bxulOxoxWXX4h5mQPQrFW+v5+cs99DstmpEXJCEd6YJ5v9R/Jqx9FeaNgxG3Q/RQ0JqgqQi2LID63TDhX6A5+JpAv5Sc/A86zcP5V1EL61riUboaLdPxUV/FdYRxl6wcsAqxRWfhnTPe4blNz/Fa7mu8sPmFrn0xlhgeGvEQ05KmHf29/UGhCUn0m3QmP7z+MrvXrCCu/0CMFl/amxop3LSO6oLdjLhoBhEpaT1TAdkDVTmQefzvXRCEQ+gdDSy/L2C55ZZbmDp1KhMnTjwgYPk91qxZw513dk9ynDJlCs8+++wfLls4Oa38OJ/qolbOvCmLuL5BXZG+xyWT+1M5qz4uwGjRMvD0uKMv3Dccrv0OlvwTFv8Nfjl82S8GznkBsi8/oqJa3B6uLAlHrQ7nyYQwRljN+Go1lNudfFHbzIultVQ5XDybHnPAuYHGQP498t/8c9g/KWktodPdSbApmFBT6An9ZjPhmpuI6dOXLd9/w88LP8TZ2YnB7ENEajoX3Pdv4voN6LmL7/4GUsTU+4LQK5zsLSwLFixg06ZNrF+//phVorq6mtDQ7kM/Q0NDqa6uPuQ5DocDh8PR9XNra+sxq49w4lXkNZE+PJz4ft1HiKi1KvpPjGHVxwWs/WzP7wpYFEWh1RCNZtpbmJV2qNsNHgdYwr35K794kSqyTOuixbR++SX2/N0oDifasDDMI4bjP/NyvvaoqXW62DA8g3D9/haZIJ2G/r4mqhxOFlQ3cktMCMnmg3RBAVq1liT/pKO+j54iSRIpw0aRMsy7EKMiywdMhNcjaneCXyxoe+kq0YLwJ9Vbcu2OKmApKytj9uzZLFmyBIPh4G++v9evv1EqinLYb5lz5szhoYceOqZ1EHqPkFhf8jfUkDI0lJDY/YvzKYpCwcZaADJHRxxVmdsrW3hpaQHLd9djc7gBiPQzcla/cG4e2x+rqfsKwIrLRektt1C3di1KnwzM48bg7x+IUlFJ00f/o2nBh6hf+C8eRaLK4eoWsOyra6tbBsCkPnmnlD8uwYrbAQ0FkH52z19LEIQjIvWyURNHFbBs3LiR2tpaBg4c2LXN4/GwfPlyXnzxRRwOB2r10Q91DAsLO6A1pba29oBWl1+69957ueuuu7p+bm1tJTpaTN19qhh1UTJfvbiF/83ZQHCMpSuHpba0jda6TpIGhjD6kpQjLm9ZXi3Xvb2B6AATN45NICHYB6dbJqesmffWlvLNtmo+uXEYLts37Ni9iDVF0NGiwpmswx4zhoiKDkLzS3CST1R2FqM//IDaSy4j/dpZDJj/MedvLuDisABG+Pvgq1ZT4XDxRW0Ty5ts3J8QTqRhfzDj2FOEbelSnKWlIIEuJhbLhNPQxcb2xKM8Oez+BlLPPNG1EAThl/bGK4p8ErawTJgwgdzc3G7brrrqKtLS0vjb3/72u4IVgOHDh/Pdd991y2NZsmQJI0YcfMVcAL1ej/4XC88JpxazVc+Ffx/Ens11lGxroK3BjqSCmIwAEgeEEJnid1R5Hv9ZvIthCYG8fsVgdJr9LQbnZUdyzah4Rj+xlHOe/ZzpQR/Tv7KWe1Tb0Ene3BaHouGHoAEsDT6b6539UaptrH/mEyIDAtA1N/O/zFherm5iQVUjb1U2AN75Agb4mnijTxxnBvsB3hab6ocfofmjj5CMRnTxcaBAy2efU/vkk/hfdhmh993bbZXnP4XKzRDaxztJnCAIvYYked8rFUU+wTXxOqqAxWKx0KdPn27bzGYzgYGBXdsbGxspLS2lsrISgLy8PMDbihIWFgbArFmziIyMZM6cOQDMnj2bMWPG8Pjjj3Puuefy+eef8/3337Ny5co/dnfCSU2tVpE8KJTkQYduaTtSLZ0uBscFdAtW9gn19XZvVrZbuNm9lDopnCXNfdiVeTG5fjoSOguYVf45Y5yPclXgHG6IziZ1s5nqWBORGUWYjQb+Gh/OX+PDaXK5affIBGo1GH/VDVQ/bx7Nn35K6L/+id+FF6Lau6Kz7HDQ/OGH1Dw2B7XVl+Dbb//D93vScLRBWw1EZJ/omgiC8Cuqvd3Bitw7ApZj3jn9xRdfkJ2dzdSpUwG45JJLyM7O5tVXX+06prS0lKqqqq6fR4wYwYIFC3jzzTfp27cv8+fP58MPPxRzsAjHzMxhsbyztoR/fraN3PIWbA43je1Olu6q5bJ5a9FIMs8anydfjsN+4zLunjyH12KHE2PIJOqnVr5JG42PZOd/7XcyK0jmXeNOIqxZGM6+ptt1/LUaogy6A4IVgPYVK/GdPImAyy7rClYAVHo9AbNmAVD/8is9+yB6m/zvIHnyia6FIAgHsS9/TTnZJ47bZ9myZd1+vvLKK7nyyiuP6hyACy+8kAsvvPCPVkcQDurmcYnoNSpeXFrAO2tLuu1LC7Pw0jALyTsKqPSEMi8nH0Vv4MPlHdQbV+N7WSBFth+7jpfVap4fO4xZ37ax9J35RNRmMfzCy36zi0qfmkLb4m/ozM3FmJXVbV/Hps0AGPv1O0Z3fBIoXQvRQ+B4JPUKgnDU9s1z1VtaWMRaQsKfgiRJXDs6gcuHx5Jb3kJFcyc6tYrkUB8Sg31QXDLlJecwyvEGypq/YNBN4j3/ZrSqDqzrXUzqdOCSVHxWfzaSoqBIEtpkX8Kzs1jz8QeY/fzpN+nwSaPBs2dj37ad4ukXYczORp+SAoqCIy+Pzi1bMPbvT/S8ucfpiZxgHY3g6gBr1G8fKwjCCbGvhUWWPb9x5PEhAhbhT0WvUTMoLoBBv9ou6dRE3fh/NH6URcqe/+O/nmegZf/+CpJZoX+cxcOzUSSJ+91GQmYlE6rtx9pPP+D7117uFrDUOlysbrZR7XBhUKvI9DEywM+PuA/ep3XxYtp+XEpn7lYkJHRxsfhffjm+p09B0hz+JdlQXsqO5T9SW7wHp92O2c+P6IwsMsacht70B5YrOAq1tbUUFBTQ2tqKWq0mODiYlJQUTCbTkRWgKLBnKWSe37MVFQThD+lKuj0ZRwkJwqnIaXdTtrORpqp2PNZxWCacTqG5jk9Lt7DH42GPMYpqvXcCu1CNmv+LD2dGZCCSJFG+azsAMX28a2p1eGT+lV/B+1UNyIBZrcIhy7gViDfq+L/UaEaecw7Wc8456nr+/Nn/WLXgHQwWC5Gp6ZisfrTV17Hs7ddZ++mHnHfPPwlPSj2qMmWHA0dBAXKbDU1gALqEhEOOUnI4HHz++efs2LEDjUaDn58fbreb5uZmtFotkydPZvDgwb990aKfIH5sr5tFUxCE7iRJAkkSXUKC0BvsXF3Fqo/zcXS4MfhoUWtUdLQ4UICzRg0h7pw4cuvrWP7hu6jL9jAgIozgPTEslWVqigqpzNtBZFoG5/7lHwD8Na+MRXUtPJgUwfmhAQTpNLhlhU2t7cwpquKyrXv4YXAqSaajm3ixcvdOVn7wFkOnXcTwCy9Frdk/BLitsZ7//ft+3r//bm5/+2O0+t8u29PcTO3Tz9DyxRcodnvXdrW/P/4zZxB0/fVI2u7DjBctWkRBQQHTpk0jMzMTzd7WoLa2Nn766Se+/vpr/Pz8SE5OPvSFWypArQPz8V3UURCE30elUp06SbeCcLIq29HIj2/vJG1YGIOmxmMN9k4J7+h0s2t1Fas/KUCtUXH2xSmcftddbF/6PXs2r6c4ZyOSSkVARBRn3no3qSPGoFKrcckKn9U28c+ECK6PDum6jkYlMcTPhw/6JhK3fCsT1+dRPPbokmurCwtQqdUMv/Ay1L/qNrIEBBGdkUVTVQX1pSWEJx++lUV2Oim54kpc1dUE3XgD5hEjUFutuGpqaPv+e+pfeRVnUTGR//dkt/Py8vIYPnw4/X6VGGyxWJg6dSobNmzgvffe48EHHzz4hRUFytZCnwuO6t4FQThxJElCETksgnBiFWyuxT/MxGlXpHcb4aM3aug3IZpVnxSwdWk5oy9OQavT03/KVPpPmXrI8jQSBGu1rG62cVVUEPpfjX7Z0NoOwPmh/kdd1+iMPsiyzHfzXmTs5ddg9LF07ast3kPRlo1otDpC4hN/s6z2FStw5OUR/+knGDIyurbrYmMxDxmCSq+nYd5r+E2fjnnokK79wcHB7Ny5k4EDB+Lr69utzN27dwOQnX2Y+VTyv4OkSUd6y4Ig9AIet5vm6qrfPvA4EAGL8KdlDTKSt7aa6sIWwpP8uu3rbHMedaKZJEk8kRrFtduKGfnzTqYG+xFr0NHukVnX0s73Da2M8ffhPylHPzImODae02+6g+9ff5mdK5YRHBuP3mSiraGOpqpKAiKiuPCJ5w9ofTloPfceI3d2HnS/vHdRUUnXvUvorLPO4p133uH5558nMTGRwMBA3G435eXlVFZWkpKS0jX/0gEa93i7gQy+B98vCEKvlb9uDeOvvP5EV0MELMKfV9b4KIpz6/n0qU1EpwcQGueLSi3RXNNB0dZ6DD5azr2j/1GVOTnIyneDU3m1rJav65qpcbgxqCQyfIw8kRrFpWGBaFS/L9k0c+wE4vsPJG/NCmqKCnE5HARGxzD6sitJGDDkiIIVAPPIkRizsym95lr8L74Y88i9XULVNbT98D2tX36F36WXYPpVa0loaCi33HILGzdupKCggF27dnWNEho9ejSpqaldM2N243FD1VbIPO933bcgCCdW3wlTTnQVABGwCH9iWp2ac+7oz+blFZTm1LNzdRWyR8YSYKDfadFkjYvC5Nt9BWac7WBvBaMfaI0HLTfVbOCZtJiun+0ema/qmlnZZGNRXQsGlXeY87RQPxKPMvnWZPUj+/QjX9G4o7WFil3baW9uRmcwEBKXQGB0LDGvv0b9q/+l+eOPaXzrrf3PJDaG0H/+A/9LLulWjiIrtNR3Ym930Sd5ACNGjET1y8BLlqGlzDvVvjkYLL9YTiH/W0g5/ajuUxCE3kFrMKI1HN37VE8RAYvwp1TW2MFzP+SzZHs1rXY3ABaDhknpodw+IZm4oF/MaSJ7YMMb3n+1O/ZulCC8Lwy5AfpfdsghugUddmZu3UNxp5MsHyMxRh3tbpl55XU8XVzN3+LDmR135GslKYpCU9Nq6huW0tlZhiSpMJkSCQmegq/v/tlznfZOls6fx/afvkeRZSSVqmtoYmhCMpNvuI2Qu+4k+I7ZuKuqaK9rxa2zYIoKwWjRduX0eFwyG78pZtvyCjrbXF3lG3y0ZI6OYNDEIDSrn4bN70BHw/6KBiTC8Jshehj4x4O2d7zhCYJw9MQoIUE4QXbXtHHBK6sx6zRcOTKejHALILGrupX/bSjnrBdW8uENw8iMsHpHtnxyDWz/DPqcD8Nv9eZi2Gpg97fw+c1QsRHOevqg17ppewlaSWL5kDRSzPs/tO0emWdLaphTVEWMUce0I0jEdbvbyM29hcamVRgMkZjNSciyTGXlR5SUvEJ4+IWkpT6KSqVh8YtPUZK7hbEzryZl+Ch8/ANxOeyUbtvK8gVv8dGDf2PWPbdSXBZG7uommms6gCpgN5ZAA33GRNL3tCi+nbed0h0N9BkdSVxWEEZfHZ1tTkq2N7D1uyJSts7AX1WCNOhqSBgHRn9orYCdX8LXd3vXCZrxv2PxaxME4QToTdMliYBF+NN5/od8gn30fHbrSHwN+xNLT+8TxrWjE+jzwLdMfX4lxf+ZCpWbYPtCuOB1yPrVWlcDZsGy/8CyOZB6BiR3HwFj98jk2jp5KjW6W7ACYFCr+Ft8GM+W1HDTjpIjClgKCh6ntW0r/fq9TmDA2K5WEEXxUFX1KTt3/R2NxkJ0+GwK1q9l0vW3dfU9b23r4H9bVnLa5qe4yLiJ/3YO5d1HX0Cx3EhSwHaGnNMXc3J/OttclG5v4OfP91CyrZ7K/BamXNeHpIEh3eoSnR5AvGEdARt2UtD3PZKmnPWLvYMg41xvi0v+EqjYBJEDfvP+BEEQDkesOib86dgcbgJ9dFj0B8brZt2vZnl1tHn/6x938MIsYd7/th047M+gVtHXYuSVslp22rqPyOn0yDy6x3vO3MxDlP0rzS0bCA09m6DAcd2GYUuSmoiI6QCUlb2JVm9AazBSlb8LWfbwQ0Mrdy9dxL0/Xk5SayWvq73HOtWZ7EhcRX7U+/htvIAIzxoSB4Qw/vJ0Jl6VQWV+y97yD14fSfZ2pXlUB8nlqdi0/9l4XAfuFwTh5CG6hAThxJg1PJar52/g6vnruWZUAmnhFiRgV3Ub81cXA/DqzL0tArEjIbQPvH8RjLkHkiaCORBstZC3GFY8BTEjoP/Mg17r1Yw4Lt+6h/Hr80g3G7pyWHLaOuiUZf6REM45IX5HVG+rbzY1NV8TEnwGAQEjurYrikxNzZcAREZcikarZfwV17Fk7gtUF+azPCiBGdXLWOWO5RtPCuENJdQGKMTIoymVPmC5uYPXTRHMWHITd6QUolFp0Ju8bw3WECNL3thOn4Jm4rKCMPnq6GhzUrqtgR0/hXNxcBwpO64Bv9sgfpw3GbmhwJvvU/A99LsUYoYe/S9JEIReQVKpkHvJ1PyS0luyaf6g1tZWrFYrLS0tB0xqJRx/S+a+QF3xHmZcPdX7Id/LfLejhke/3kFxQ0e37dEBRu47I50zssL3b2yvh2/+Dts+BeUXMz6qdd4P5MmPHHZ+Eacss6iuhZVNNqqdLowqFZk+Bs4L9SfOqD/iOrtcLWzNvZHm5nWYTPGYzckoikxb2zYcjmpCQ88mI/1JVCpvN1dF3k42fPUpuRs3Y/TYkSSFWl8HloGpzLzor2x4s5HKgmZ+1rczJvj/mB/oYYL5DJKq+2Mr0qM1y/Q/3x93lR+7Vld3T7o17026HeeLZvm/YetH4N4/xT+mIBh6I4y6E9Tie5EgnKxeuvYyBk09j6HTLuqxaxzp57d4JxF6hCIrXUuT90aTMkKZmB5Cfq2Novp2FAXigkykhFi6D9cFb5LtBa/BmU9CZQ7YW8AUAOH9j2giNJ1KxXmh/pz3O2a4/SWt1sqA7PdoaPhp7yihUiRJTUjImYQET8HPr/sa1KEhYWS2ygRtL8XP0YYEeNTg06jBELWSsIlxlDnqGFnqi6v0AWaUes+zSTL6MDue4GoWf7sGk8nE9Fum42cMwd7uwmDW4hts9D4nRYH0c8HZCVWbvUO+faOgz3kw8EoRrAiCcMyIdxOhRyiK3LvSyw9CkiRSQi2khFp++2DwjoBJHH/U11EUhZUF9SzZXuMNjlCIDTQzKT2UcanB3fJRfrvOKoKCxhMUdPh6uJuaKL74EjxNTfycOJiSqGScQWvwr9nGzJxC7Hc/QtaIJkbG2NkYlMq3ymmsDCrEoenkm+s/R7s3l6elpYWPPvqI+fPnc8899+AXat1/EdkDn14H2z6BkEyIHAzONvA44cdHYc3LcPlCCM04RC0FQej1FKXXvJeLgEXoGYr3w/XPrtPp4eb3NrI0r464QBMZEb5ISPy8p4H3fy5lRGIgc2cNwucgCcCH46xqp2NDNc5yG7LdjdqsRRfni3lIOBo/Pc0ffoinvp74Lz5njNvE9e9spM0Zg+8gG18NKuO152UqVgcwNn0CkeF2Klzf4mv05c3T3+wKVgCsVivZ2dlUVFSwbds2hgzZv7YQWz7wdpNd+AZkTIMdCyHzfO+bW0sFvDgYXhkO/2qCXtzaJgjCYSjKUX2p6kkiYBGEHvTi0nzW7GngtVmDmJAe0u2FvyK/jstfX8cN72zgvWuHHXGZbcvLaVlchMqiw5BgRWXywdPqwLa6CtuKCgIuSUNu70AyGtEEBDDIZGLp3eP4ZFM5a/f8k0LHD7g0CwAwRWzG6BNBSkkS5weGUp9/D2Wde1AUNwZDBBaf4eTmeru9MjMzu1ekdidYo71Byp5l3qTbffdnjQSfYGhq/wNPTxAEYT8RsAg959TI5/5DcsqaGZUUzMSMA2ezHZ0cDMCqgoYD9h2Kq6adlkVF+IyJwjolFkm9v+VCdrhpeGcnDe/sIGDG2TS99x7Fl80g6PrrMPXvz6wMK5eYmmn5zElzm5ug229j1YybcbttrFp9AS7XZkqKo1GpB6DVGGluqqTZ+CERkQrDhz+D2WzuXpnkSbDmRfjsRsg4zzt6CrxrB+V9Da1VkDih1zQnC4Jw9BR6z/u4CFgEoQcNjQ/kxR8L+GRjOedlR6Lem9ArywqLtnnnYTmnX8QRl+eq9o5qsoyJ7BasAKj0GgxpATgKmlHsFmLffYfqRx+j4q67ux2nDggg9L778L/cOxS7vPxtZLmCPpnvUVjopqKignabHZPJhL9fALb266iovIW0tMLulUkYB2f+H3x7n3eUUECidwr+phJwtHpnuT1/rghYBOFkpiC6hIRTXO/4+z7hbhybyJ46G3f/bwtzFu8kNcyChEReTRt1bQ5OzwzjiQv7HnF5+nhfJK2Kxg/z8D8vCU2gd9I2RVFwldto/7kKSafGlB2CpAkj7r13cVVW4igoQHE60YSGYUhPQ/rFys52eyUGQzihoYMJCzsw1+SHH1XAIeZh8IuBWzdA0U/eLiK3AzKnQcJ4MbutIJwCFJF0K/wZ9KamxBNFp1Hx7CXZXDUyniU7qimu70BB4YIBUUzKCGVg7NENdVb76gmclUHjh3lUP7kBdYABlUmDp9WJ3OpEE2Ik5JZ+SJr9gYc2IgJtxKFbcQJDprKgspJHVi2ilCicipowvZaRvhrOUi9HktRER1994IkNheATAv6x4D/rqO5DEISThdJrvn+KgEUQeoCieGhu2YTNthPZYydUH8pt44Zi0KcdcRmyw4Orph3F7kHlo0UbakZSSxiS/Qm7ZzD2nY04y9tQHB5Uyd5RQtp4XwqLCindWorNZkOv1xMREUFaWhqGgywR75IVbi8LYal0O1nuHYyWP0QvydR5wvjYls17UgaPB93BuIRrup/ocUN1LmSe9weflCAIvZmiIFpYhD+BP2nSbWPTGnbtvI9OeymSpEOt1uN2twES4WHnk5r6IGq16ZDne2xOWr4uomNrHXj2P0OVSYPPiAgs46NR6dSY+gVj6hfctb+uro4P575KfX09VqsVi8WC3W5n3bp1GI1GzjvvPFJTU7td66PqBn6qbeHNPnFMDkmjuTmS9vZCZMWFrLNxXmEAd9QP49xGF6r2TlR6NZogI1L+N5By+jF/doIg9DJiWLNwqlNkGZVa/dsHHuvrKgpNVZXYGutRa3UERkVjMPsct+u3t+9hy5arsfoOIDPzKXx9+yFJalyuZqprvqSw8Ek8sp2sPs8f9HzZ6aHu1a3InW6sU+LQJ/mhMmjwtDrozK2n9ccy3I12Ai7qHnjIsswHH3yAWq3muuuuIzIysmtfS0sLixYt4oMPPuCWW24hODiY8qYOXlpawMKtVejsbm76oYogHx2TMkK59bRLifEzosgKAbu2UQtUPL0RNx04VE6skg/WtBCssWpUWgRBOIV5u/ZFwCKcwmSPB5Xq+AUsiqKQ++O3rP30Q9rq67q2S5KKhIGDGXf5tfiFhR+mhGOjru4bJElHv35voFbvXydIq/UjOupyamsXU1v7NU7nA+h0gQecb9/ZiLu+k9C7B6IN3t8KowkwoI+zongU2tdW4TM8Al30/hl6m5ubaWxs5LLLLusWrIB38rdp06bxn//8h88++4yx51zCha+sRq9Vc9aACBa0t5FpNtIXLd/nVrMot5q3rhvKmpxKStTt9G9bzM1Zq6lyVgOgRkVmWxKXvHEWZ90wC0l7/ANTQRCOk96TcysCFqFnyB4P0nFsYfl54Ues+vAd0keNI2P0ePzCInA57N4FAL/8hPf/cTeXP/E8loCgHq2HXh+Ox9NOc8t6AgNGddvn8ThwOmsBDtklJKn3DnvudB90v+LyjtaRtN1H81gsFoxGI+vWrSM6Ohqj0fiL63pYsWIFAGPGjOHZ73cT5KNn4S0jsRq1TK5v4Z68ct5xujAPC8LzXQXnPb8Sx8Qg4urmUO+p5NzEcxgUNghz5VYq/KNYVLCY+5qepuajFq6dccfRPyhBEE4OYpSQcKqTPR7UxylgURSF9V98wsCp5zJu1nXd9gXHxpM6fBQvX3sZ799/Nze88laP1iU09Cxqar4gJ+dKAgPH4GcdhFptotNeTm3tNzidDfTtOxe12njQ8w3pAehiLNTPy8U8JAx9oh8qkwZ7bSedufW485vwGROJNqz7JG5arZYLLriAjz76iKeffpr4+Hh8fX2x2+0UFxdjs9mYOHEiqamptKxYS7ifAV+D9+U/OcjKuAALq5ps7LB18uR3FQDcs2U584OKWXDWAtID06FiI6RPh4AEzvc7l1mfz+Q50+tcaL8SP4Nfjz5XQRBODNElJJzyZPn4trCoNRocHZ0oB0kQczkcABh9jnCRwz9ApdLSr99rVFV9SlX1QkpKX0eWO9HrQgkMHENM9NWYzUmHPF9Sqwi6Nou2pWW0r6/Gtqqya1+rR6HQ4aFlTTV9dBr6jo9Clj00V1XgcjgI8ffntttuY/PmzZSUlFBeXo5OrSYjIYEBQ4YQFhUFwIyhsdz83iZufm8TV4+KJy3M+1zMrW5yV5YD8OrMAZTvKEDdrkL/fRudaWWoOxqRQxJxbCjGtqoSn2hvbpDD4+ipxykIwommKL2lgUUELELPUDwe1FrdcbmWJEmMuGgmP7z+Mq31td4uodBwXA47lbt3kvPt1/gGhzD9X48dp/qoiYiYTkTE9MMepygKrW1baWpchd1Rg1qlx8cnlaCgiVinxLGxpoOiNdUk9AkkIisIS7CRVJuT0u2NrPrfVjZ+9Qa2xlzcjv0BgzU0jEFnnMOUpmZaP/sMV6U34GlSq7H360fgtddw5mmn8fyl2fxn0U6mv7qmW50irAZevCyb0/uEUx8/g7cX/o+bbfdxyaIpZLUnY5LXUmNuZnX6djY5tzM9eTqh5gOXHRAE4dRwygxrnjNnDvfddx+zZ8/m2WefBbxvwg899BBz586lqamJoUOH8tJLLx24cNovzJ8/n6uuuuqA7Z2dnQedO0Lo/WRZRnscW1j6Tz4Tn4BAfv50Ad+8/EzXdp3RSNqIsYy4aAZGi+9xqcuWtg4+rW5iu60TuywTqtcy2t/C9FB/zBrvM3E6G9m+/Q4am1ah0VgwGKLweDooLXsDtdpEROCD7Fztx8hJAURW/IT9w90oDgc+YaH0GziQfOULmqvbSBpyOn2nDMYm2XE0tlC9YTM/zJ9LYn0rQ8echnnIEFQ+Prgqq2hdvJjym28h5J57OOfqq5iaFc7mVTnsWLICZ2kpEU1VpOhc+Mj9cZguIigpiXfOeY9Hl/2VpzRvd7tHH9mH6/pex/V9rz8uz1QQhBNFQTrZu4TWr1/P3Llz6du3+7TiTzzxBE8//TTz588nJSWFRx55hEmTJpGXl4fFcugmeV9fX/Ly8rptE8HKyUv2eI77sOakQUNJGjQUe7uN9qZG1FodvsHBx220kqIo/LuwklfK6gjXaxnoa8Ks1lHS6eAf+eU8X1LDe30TSPcxsmPnPbTZdtI3678EBY1Hkrx1dDjqKCx8kvxdzwEP0PbMYzS5SjFkZaEyGrHnbmPbj0voiApBZ72a9aoyHth4JR7FA8DkWgP9Wn0oDPJlwm23Ygncn2Tsd/FFlF1zLbVPPIHv1DNpXbwY8+NPMCI8HPPIEaj7DsRdX0/bt9/S9P77hP/7IWJPH8vcPjdTF5ZJXlMene5Ogo3BpAemo//FKChBEE5NiqIgqU7igMVmszFjxgzmzZvHI4880rVdURSeffZZ7r//fs4//3wA3nrrLUJDQ3n//fe54YYbDlmmJEmEhYX9nuoIvZDscaNSHbguzfFgMPsc17lX9vm+oZVXyup4IDGC66ODUf+iGbW008HUTfmMX59H6ZgsGhp+Ijn5PoKDJ3YrQ68PJj39P1RUJqML3sW2vtfRMdiEbG+ivryJjthROIMqwfYDGpeNytAd/D3778T6xuLwOGio/QAbuwFosjdhIQiPrR3bsmU4du3EWe7NUWldsoTa/zxOwFVXEXL3Xd3WFlKcTirvvY+q+/+BwXgbhjNuIliSCDYFIwjCn4wCJ3XS7S233MLUqVOZOHFit4ClqKiI6upqJk+e3LVNr9czduxYVq9efdiAxWazERsbi8fjoX///jz88MNkZ2f/nuoJvYDs8aDS/LlSpLa2deKvUXNjdPABib8xRj2pJgN1ThstHhmdKZUFZUXsadlNlVNCK0kkm3SM1pdSWfwftrdqcUW9TnzDNPJWxuJxbkF2lYHSjvdlK9HR+Sn9lwwhNSCOyNQQWuvrsEkxFPtWENbSxBsvXc3tGTdQ99zzyG1tqHx8kG020GqpfdSbz2OZPKlbsAIg6XT4nDae1q+/xlbgwNBL+q8FQTi+FEVBUU7MJKAHc9SfKAsWLGDTpk2sX7/+gH3V1d6JpUJDuyfhhYaGUlJScsgy09LSmD9/PllZWbS2tvLcc88xcuRItmzZQnJy8kHPcTgcOH6RbNja2nq0tyL0INkjH9eJ43qDUf4+PFlczf35Ffw9IRzfvfkqiqKwvqWdbbZOogxa7B6Z+5RHyHdAQl0ucTo3LtR81ezLm4QwSpnAtb55aP2a8cTPp3ZLIHu2hdEQpkYlh5Dk8GBvbgDFg6tjDT++sbqrDtbgUEZNm07+O49z8acKNZ8+ur+CikLQzTcReP31tP34I5V3/4XSq68h5p23MWZmIkkSiqLQuTmH+hdfQGUxE3DDzcf7MQqC0EvIHu98UOpe8uXzqGpRVlbG7NmzWbJkyWHzS3797fJgQ01/adiwYQwbNqzr55EjRzJgwABeeOEFnn/+4FOYz5kzh4ceeuhoqi8cR8d7WHNvMNTPh8eSI3mwoJJ3KxtI9zFgVqsp6XRQ4XDR18fIm1nx/GVnCY2dHq4t2Iy2qpwAnwZGBDjR1valwdlBs34ozc5waut/YplvAiWE0xzhiyTJ+Bur2aZvYcqOFUidEqCg0mWQUrwUjWKnyFPEw/VbqLvYxLvV5+B571PCH/8PurAw9BkZqHQ6FLeMLn4ouvgMnHu2U3LhdFR+/miCAvDUN+BpbkYfHULc+x+g0os8FUH4s/K4vQFLb2ktP6pabNy4kdraWgYOHNi1zePxsHz5cl588cWupNnq6mrCw/dPg15bW3tAq8vhqFQqBg8eTH5+/iGPuffee7nrrru6fm5tbSU6OvpobkfoQYrHg0p9YnJYTqSro4I5M9iPr+qavaOEPDJ9LUbG+FsYG2DB1trKz3VNZNaUkhAQQKUpmjPyFPT1eqqkZlxSB/UmB3scTXxinIJesZMelk+TIZgmOYCOtlDq6yKpT4riyo53cBdqcCp7+Pu19r01UNGn2cqd3ydjDNLR5nAgt7RimDIFSZKw726i8ePdeOqbcNd6Z901jLgVubEEldmDZUIc5igwTZ2FZLKeuAcpCMIJ53G5gJO0hWXChAnk5uZ223bVVVeRlpbG3/72NxISEggLC+O7777ryj9xOp389NNPPP7440d8HUVRyMnJISsr65DH6PV69OLbX691vNcS6i0aGhrYuHYtnXv2ENzWhkajITQ0FP++fZH8+7FixQpiHBp2xCSzwSPzxaoOVLpSioc8Ra0i81bd3UQ1b2G9HEqETxXJWU6+8jkLM21obDLmQCdKpJqmzSqe972NK2LfYUnsHq7+sS9uXRAq7UisHSr8ij+kLSAMOTOJ6gceoOa159FlpeEuUqP2OHCV5SJpNcS+9y7G/tnYdzbStDAf1BLmkQYQwYog/Onta2FRa3rHKqdHFbBYLBb69OnTbZvZbCYwMLBr+x133MFjjz1GcnIyycnJPPbYY5hMJi677LKuc2bNmkVkZCRz5swB4KGHHmLYsGEkJyfT2trK888/T05ODi+99NIfvT/hBDkRw5pPtIKCAhYsWIDBYCA9PR1/f39cLhelpaV8/vnnbN++HbVazQV2B08EhmHwQHi7zBspFpYY76ZcFYdGKzOgLJ8OKZwwvw6+tEzg5vwOJlatQd8YSYu7gZ+CmniLwXhaYe7pd+FXdi2+nnbsGispciXFwSFUndmEMegdFAX0eSpM62pxbq1DckrIfmoM5/cj9ro5GMJiATD2CaJzex0dm+txKn04PlP+CYLQm8n7uoR6yXv5MW/nueeee+js7OTmm2/umjhuyZIl3eZgKS0t7Tbktbm5meuvv57q6mqsVivZ2dksX76cIUOGHOvqCceJLHtQqXtHM+LxoCgKX375JbGxsVx88cXodN0/8gsKCnj33XdJTEykoaSYsZ1urNmDKPJzMaXEyBZdPVHm7zlNWkuNpi9ZmnLWlqXio6ljYs1uDJ0WWowOtklWfnL7IaEQMMhJhaTjnvJrqO1XyybDLtZ5GrjKk4f5Izf6Eh1qj4LToKLV34RzfCSagUWodFoanSW8vuRNqlyn09LpxqLTkFLZwukYiAgQ8x8JguCdABROoYBl2bJl3X6WJIkHH3yQBx988IjPeeaZZ3jmmWcOfrBwUpL/ZDksiqLQ2trK0KFDDwhWAOLi4gAoLCzk/PPP55NFi5G+/Yy1sp5Jrn48ty0RGxG4TAnstmuQNXnY/UpJLCumgD1YtTbqFSvb5TTa1Imcn/ENn/ldToCzFasjjX62LKbLU9hV/CMN9r4UW4LRDmrHpnPS6GhjaO5ywt8rYHPDcKqH1PPa1quRJBdZ/ttJJIXGyhY+kT28q2rnkW2VXDw45jg/QUEQehtF2bs6fC+Z2uDP8xVYOK7+bDksKpWKzMxMli1bhkajISsrC6PRiCzLVFVV8eOPP6JSqbjxxhsJCQkhNT2DWR/fSXuLk3VSBJPLC7Fqw4kx2eh0hzDdI/E3+0PoNA5262Jokcxkewq5xv0NpfowrvB9DB+bihvXbKShwUyHxheb7IfTfwx6TyvbAkz0N+7EXZeFL3qKx4fSufULBi1axTXcyqBgO5cOfIggWwrx5f9An+5AM3kUD68o5G+f5JIa5kv/aL8T/VgFQTiBlL0tLNIJmgT010TAIvQIWZb3/pH3jsj8eDjnnHP4+uuvWbRoEYsWLcJoNOJyuXC73fj6+nLZZZcREhICgF6r4bSMPszdOpdrB01DY+tL0dpV7Giow+q/hpTmL7F7snnZ6odO48eHQecgySHEu4p5sPphlm68mlu5jSpPAqGaODpULsyyh/7rHiF0zN18pq0mJH41A0e8Qs66q6F8EAUhm0nYXU6G/mXWR6h4o1nHLUOuJzS1DNLPBpWaq0fF8+GGMl5fWcQLl4qJGwXhz0yRFQAkSQQswilM8XhQqSRQ/Xn+xHQ6HdOmTeO0006jqKiI5oZWZIea4NAg0rIS0eq6P4srMq9ga/1WXl73VxKtiaT3T8ftcuOTl4NGcvO95gwuqh8CtBJe6KaUSj7JeIVt9k4MOjX3bHyX1kITFUFpFKTeSrNUhY+rhc6fX+SVrAkUh+ZTEWhkbexbTCwfhEYzk6aINazznY65uRGtXx13/HQPd6VfyVUqNeVNHTzy9Q4A7j0j7QQ8QUEQepOuLiHRwiKcyjweNyqJP1XAsk9TiYv8b9zUFrsBNzupYI2+mqRBIQw9JwGz1Tsc36Ax8O/+/+bN5jdZU7uGNTVrQILJbjsyENXwOj/YmgkxDSCH71kXv5E2Qzv3JZkBM/oIGFXj4YotGykAdFIMuZl9ydyzEdvy1wlYpUWrU3F12JmUxkJg1ec8ecvtzM+dx20tt/NzVRCBce/w9M75vL06nqJqPYFmHe9eM5QIP+MJfIKCIPQGirKvhaV3tJT/+T5NhOOiq4VF3TvG7x8v21dUsOy9PCJT/ZlwRTrWYCNul0z1nhZyl5VTtqOR6fcOxuSro7i4mPfeew+DwcB1mdcREBCAx+Phy613sLhRxxn+pWRaX2extIAv4/VEOeHuhhbinR5yWvqwXt3Jz7GdrJ5sYtqWeqwdaur8LufHQeehktvQuMCtCUSRtGxXVbH49Glcr65hAIV8l/I5S0Nn8d/WMIqcO+gbreO2Mf2YkhmGWS/eFgRBEDkswp+E7JH3trD8eRJvAdZ9WUTasDBOuyK927eS6PQA0kdE8Na9q1j41CZmPDSMxYsXEx4ezsyZM7tGFimKwu2FbgLrowiUVagkFR+lO+jrcPKPYjMNrnPYZh9DJyaynZWklXzOB5PLeH/gw9z+nUxKcV/q0s+lzeBHo74Fh7aadlMpmyOWcmuLjRn1e1iuJHNH+SSSjRuocK/kjLgzeGLsWSfqkQmC0EuJFhbhlKfIsneFz57MYWksgrzF0FgIigIBCZB6BgQm9sz1jpDsUdAaNAd9gWt03m8pjg7vdNdtbW0kJSV1GwYtSRL+hkBaUyys2hkJSNSktJGi1CPLnbhX5mGMVFGYEEBTkIekvP3XGZVrRGVsIiEggst8negVJzH2cmJUChNrh/BW7GLeIhJwAK+w3a4lhPH8e+S/e/KRCIJwstoXsIgWFuFU1TXZUE/ksMge+PZ++PlV0OghIBEkCXLehyX3w6Br4Iwn4BhOWqcoCgUb1rLjpx+oLd6Dy27H7B9AdEYW2WecjX9YRNex2ZNjWLOwEHu7i9ShYd26hDYvKcFg1jL93sEA9OvXjzVr1qDT6ejfvz++vr4oisK1idcyp+1RhrYHkVRqJH2PhhX9VThiVVw+cSdxa8rwX6djdZoPi4c5UXvgoXfdaKIy0SfPxHp6PCvGR7OmsIFZ89TM0GzGoPLlh+k/sKthFx17fiQwdSpb9/jy8BcFfL2lngsGRh2z5yUIwqlhX5dQbyECFuGYk2UP0EMBy9qXYd1/YfIjMOhq0Jm821122PQ2LP4rGHxh4oNdp3R4ZL6qa2Z1YwNV7dUY5BaS1Y1Edaqobkmg1WXBotfQJ9LKxPRQjLr93ViKLLP45WfYuWIp4cmppI4Yg95oorWult1rV7L1h284+857SRzonZU5e3IMBh8tGxcXk7++pqscSYLYrCBGXpCEZe9MshMnTkSSJJYvX87SpUvRaDTIsowsy0wNOJv6sfV8W7OdzJ+DGbdJZlNqM3ekBEDKvlJtxDXpmbxuIE+ljaZvoI7rBgZi7muipqaG6j27OUu3E7VWxy0334S/yZ+Qqm0w+HYwBbB+VwEAFoN4GxAE4UCKaGERTnWy2xuwSJJy7AOW/CWQcjqMuLX7dq0Bhl7vDVhWPtMVsGxqbeeabcVUO5zEUII/jZR2BLBscyiSzY1RV0mEjxOnEsp/l+8hyEfH0xf1Z0xKMACFm9azc8VSzrztL6SPGtftkuOc1/HB/Xfz2RP/5tY3P0RvMiNJEhkjI0gfEU5LXSe2JgcarQr/MBN6U/cEZLVazeTJkxk1ahQlJSW0tLSgVqsJCQkhKioK9d7psLee3sDMp5dwlewkVt9Ks6Ydv5AwBkSNILDdn3t0BZSWNjLOWsLCnG8h59uua+jMwSxsCaP9xzLGRpYTgI66djs/7Mzhs5wKLhgQxeTMsGP7OxIE4ZQgcliEU96+FhZ1T+SwhGR6u3/K1kP04O77Kjd7/xuUCoBDlrk6t5gQdTt/Ve5gcPRZRMfcxJkvbCHeACEjI1muuPgrf2FoaD98wh7mX59vZ9Yb61hxz3iiA0y01FSj1mpJGjL8gKpodXr8I6KoKy3G1tiA3mTu2idJEn4hJvxCTLhcLlpaWmjrAKvVilbbPXAxmUykp6cf/H5lmb4mG1eOjOK5da0kO+MYnRxMh1tLTq6DH3flUtncyWPTsrh0yJk0NTV1BT7BwcGotXriVhbx3s8lLFjfubfQzSQEmXngrAwuHx73e34LgiD8CewPWEQLi3CKUjw92MIy7u9Qvh5enwjRQyG0j7e/pWY7lK6B8H4wcyEAxZ1Oqp0u/uK/ikSVP8nJ91FU386e+nbevGowfeMDyFy1jfeUK4mteZAJmU/z/CXZ9Pv3Eu74MIdPbhpBwsDBrPhgPp898TBjZ15NcGw8kiThdjrJX7+G0m1biMnqT2DUgWvv1NTU8MMPP1BQULA/r0elIjExkQkTJhAWdpiWDWcHLH/S283VUc9dwEhdGh+0ns3SnD60YsbfrGNUUhCXD48lM8IKQEBAAAEBAd2KumlcIjeF51MfNJwWWUeASYe/WazHLAjC4e2fOE60sAinKI9n75Lk9EDAYvSDq7+F7Z/Crq+gbB2gQEA8nPcKZE3vmvsl1qAjUKvhg86BXGNfQH3DMsJ8R+Nr0PD2mhIsznYApvM+AG6PzGsr9wBww5gEAPzDIph2zwN8++pzvPO329GbzGiNRjqam5E9bhIGDuH0m+44oJoVFRW8+eab+Pn5MXnyZEJDQ5EkiZqaGjZs2MC8efO48soriY6OPvAeZQ+8e4G3xWjQ1ZB4Gpj8GdpWzdBdX8OWp6D/ZXDuS0f2zOoLwBJGUGAAQUf1sAVB+FOTRZeQcIrbl8OikpSemThOrYG+F3n/HYZBrWJeZhzXbvXwN+czRG8sJND4Pv59g1i6sRaloI7UwApyzEPZ6XM//3xiKZUtdv4yOaVbXkds3/5c8/w8yrZtobakCJfDjtnqT3RmXwKjDhJwACtWrCAwMJBrr722WxdQXFwcAwcO5JFHHuH1118/+KrmRT9B6Wq44iuIH919X9pU8AmFlU97g7OEcYd/Vh4X1G6HjHMPf5wgCMKv7GthQQQswqlK3tvCopY4oTPdFhcXU7hiBZcWF+PZ203lMOgIDG0kY6QLqU5LZUsM+W1JWFwSEzNCuWhQNH0ivd0riqKwZ9N68tasoKGsFNnjxhIUTFy/gWSMPQ2d4dDT13s8HjQaTVfi7C+pfivjfm8OENpDlK/e253jcR2+HIDd33iTlAVBEI7Svq5skcMinLI87r1dQpIHVCcmYMnJyeGzzz4jIiKCiRMn4u/vj8vlorS0lJycHPw7/bnmmmvQ6/UHPd/jdvPVs/+hYP1agmPjCU9KRa3V0lhZzk/vvM7Grxdy4f0P4x8eedDzhw8fzjvvvMObb77J0KFDu/JVampqWLduHZIkMWPGjINXPmEchPeHd6bB8Fu8XULGAGirgl1fw/rXIHMaJE86/EOo3gaByd75agRBEI6S2+kAQHuI98njTQQswjEn723NUPdUl9BvUBSF7777jqysLKZNm9atRSMrK4vBgwfz8ssv8+GHHzJr1qyDlrH1+8UUblzHOX+5n+TB3UcItdRW89rt1/HGHTdw94dfHfT8hIQEZs2axXfffcfHH3/cbV94eDiXX345CQkJB78BtRau+AJ++Deseh6Wzdm/zxQIY/4Co+46/ENwdkBzKaSdefjjBEEQDsHlEAGLcIrzuL1dFd6p+Y//WkKKouBwOAgICDho94uvry8A1dXVhyyjvrSEgIioA4IVAGtIGFqdHpfDfth6xMfHc/3119Pa2kpjYyPgHcWz7/qHZbDC1KdgymNQlweOVjAFQVDykT3T/G8h/ZzfPk4QBOEQ9r3HaUTAIpyq9iXdHix/43hQqVQMHjyY5cuX43A46Nu3b7cuoeXLl6PX67nuuusOWUZ89iC2/vANy955nWHTLsbg4wN4W492r12J2+kk6SDBzMH4+vqi09moqPiA3fnrcDrr0WjMWHwyCY+4ED/rwEOfrNFDeN9um1rdHt6tbGBpYyvldicaSSLFbODcEH/OCraiqtgIEdl/uoUnBUE4tlx2BxqtDlUveS8RAYtwzHXlsPTAdM5udxtOZz1qjQWdNvCQw+0mTZqE0Whk9erVrF27ttu+mJgYzj//fPz9/Q95naTBwxh7yTUULVrDslUvYLRYcarsFNdtpbW9nsRBwzjjljuPqM71DcvYtu02JElDQMBorNb+uF2tNDX/TGXVR8TG3khS4l+PqKz8djsXbSmk0eVmrL+FM4L8cCoym1o7uH57MeOtBub7NKGPGnRE5QmCIByKy2FHYzCc6Gp0EQGLcMx1zXSr/mMBi6Opiaqf16GuKMfuk0td8GY6Ke/ar9eHERF+EbGxN6BWd39RqVQqxowZw4gRI6isrKStrQ2NRkNoaCh+fn6/eW3b2krCN4cSFng2slZGVjyo3RrSQgah7uND+KX9kY7g/mTZyY4df8HPbwh9Mp9Fo7F07VMUmZLSeRQWPoHZlEh4+Pm/Wd69u8vxUav4akA6kYbuk78tbWjl0q17mK1P5tXfLEkQBOHw3A57r8lfARGwCD2ga6bb39nC8lNDC8+u2sgGowWXPhQSQglXwhhfpWP6ynaipkxHP7I/jY2rKSl9laamNWRnv4vqIJPUaTQawlRqLDt24K6qwq3V0pacjHnECFQm00Gv37mtnubPCjEPDcMyPhqNnzcYkjtctK+vpuWbYlq/L8U6Je4378XpbMDlaiIi/KJuwQp4hwpGR82isPAJiktePaKAZXeHnYvCAg4IVgDGteYCZj6rbebVzN8sShAE4bBcDjtanQhYhFPYvjlPfk8Ly/yKev6+u5z0+kbu1DcRPzCdLZVPUW65iI+ly8idPIX/+8cdJDw7kLSJDxEaehabNl1CYeETJCff160s2W6n+t8P07JwIUgS6qAgcLnwNDWhsloJu/8+rOccmJjasa0ebZQP/tOSu21XmbRYxkbTsriYtqVlRxSw6PVh+PhkkF8wB43GB3//4V1zGnR0FLM7/xEA+vWde0TPZ0qQlTcq6kky6ZkW6o9+b1BY11TFsw3el/ObfX67XoIgCL/FZXegFV1Cwqns97awOGWZhwsrOXfrev5VU0zkY4/icNTgW7mM9Mgp3GwexZmb4KkZ13HvrbeRvmsnOq133Ryns6FbWU32JlbfMYuIlQU8OSWDDQFDcDmjkWQTAQY1A9vrOOOxF5kUGoZ56JBu52oCDNh3NOIsb0MX1b1VxNPqOKp7kiSJvlmvsm3brWzOmYVG44fBEIbb1YrdUYlWG0i/fq9jMsUdUXkPJUVic3u4Y1cZ9+4uJ8qgwykrlNodGFQGHkmO4Ixgv6OqoyAIwsG4nA60ehGwCKewfTksqqNcMMulKHR6ZOLdTuw5ObgbGtAHhhIacha78h7AN6IcOI2C2FgYHEFp2ZsUF7+CyRRPWtojXeW0OFqYsWgGD/5czPNnXctq0kiyaIgPd1Bs205xYxMbNaNYMvY2bn7gVf76TfeAxTImCvvuJmpfysGQ4o820gdJrcJV24F9ZwMqi47g67KO+L6MxkgGDfqU5ub1NDf/jNPZgFpjxmLpQ1DgONTqX8xo29HonZ22bpd3Jlu/GEicAMEpAJjUKl7JjOPOODvLGlspt7vQtJSSEhHJ5IgIArTiJS0IwrHhdjp6zZBmEAGL0AP2TRynOsphzWa1movDA3h5wEgaW1oZP+tqkgb0R0rMZltgMPMrUrHQwt1h/6byqmakgv8QEnImycn3d/vQ/7zgc2o7aqlJH8lS0vjHhDiumZiBJEkoytmc/8X5aLYsJqPiYl7qfwHn1bSRHLq/JUVl0BByYz9qvi+ldWsdqj0tSIDkq8N3VCS+oyJRmX57QrxGeyPrq9dT3V6NVqUl2T+Z/rE3oj3U7L9rX4XvHwS33RuoqHXQUgbf/N27btDZz4POm3eTYjaQYjZ4J4czaCD6wNWiBUEQ/gi3wzusubcQAYtwzHUFLL9qYalrc7CxpJF6mxOzXk1WpJWkkO5dLo+nRBGk1fD6hDN5e/wZv9jTn4EVxTyn3kTamMfQmgPx8Uk9IJEVwCk7UUtq2i+ZCattpD44m6rvB6KNjUVxOrnm+zISC9x8MR6WA7kVLd0Clk6bk+/f3EHp9kbUWhVmqw6n3YO9rg1TnYPTIizE9gk85P27PC6e3vg0C/IW4JbdmDQmXLILl+wi1BTKP4b9g3HR47qftGsRfPM3GHIDjPkr+ATvLcwOuf+DL28HtR7O+8UKzbIM5Rugz28n6wqCIBwtl9OBwefA99gTRQQswjG3P2Dx5rC02V08+MUOFm4uR1ZArZLw7F22fECMH49f0LcrYNCpVNyfGMEdcaFsae2k1unCqFaR6WMkXNOXyvxmKne143Z58PFvJypNh9navcnynMRzeGfHO7zR+TQ+umt5YOz1XF+ylIzlb+PESUOAm3VXzmCJPIx0s57z+ndfD2jJa9tpqLAx5bo+xPcLQq3x3kdjVTurPyngqxe3cNmDQ/EPMx/0/p/a+BQf5X3ELf1v4dzEcwk2BSMrMjsbdvLKlleYvXQ275zxDn2DvRPCKbKCc8N6XMarUSy3o94D+gQnah8daA0UJoxgma+FsvJFsPpBYnxjGBc9joTqPEiZcox+a4IgCN25Hb2rS0hSFEU50ZU4FlpbW7FarbS0tBzZ1OdCj9ny3WJ+eOMV7nr4dkiayBVvrGNTaRN3T0rhzKxwgi162p0eVhfU8+S3eTS2O/nurrEEmA/d9Fi0tZ6f3ttFe4sTjVaFWqvC0eFGkiBjVASjLkpGo93fBVXWWsYT659gaeFuOiouRHZEgORGpXaCx4isSIxODuL/pvcj1Hd/Upmz0828O5cz/vI0MkZGHFAPj0vm1duWoTdpuPbpMQet66gFo5ieMp3ZA2YfeL7sof87/QHIvSIXe34TTQsL8DTaATeSRo3ilkAlYRwSwkt+C/h0z2foJQeZLS4ya2IwF9WidroJCYth7AV/wTp2HJJGfPcQBOHYmn/3zcRm9Wf8ldf36HWO9PNbvMsJx5zscXflr9S22vlpdx3PXtyf87L3t2T46DVMzgwjO8afwY9+zy3vbeKD64cdtLzaklYWv5pLbJ9App4dT1CUD5IkYbe5yPu5mjWfFaIoMH5mWtc50b7RvDDhBVpGtVDQVMD2ynbqmkzoJF+CfAwMivXv1g20j1avxmTVUbixlqSBIegM3V8i+RtrAOg/6dA5I6GmUDbVbKLD1YFJ232ul12NuwAYGTESZ1U79fO3o4+3EnBBPLpV1yPt+YH2sDMpbLwI6xqZMc4RmIjHFL4Za0A+psAmdGm+6KpdaFYWU3XLbTQmJxP10ovoYkQeiyAIx45IuhVOebJH9g5pVsCs16DXqNhY0sQ5/SIOyGvZVNoEwLCEQ+eEFGysxWTRcsYNfVD9Ym4Xg4+WfhOi2fJjGTtWVjLuslSkX5Vv1VsZGDaQgWFHVndJJTHhinQWv5rLO/evIS4rEEugAafdQ2V+M3WlbaQND2Pg6bGHLOPeIfdy8w83M3XhVCbHTibGNwanx8nWuq0sLVtKVlAWT497ms4fa1EZNQRdmYmkUYHxAVxfO/GUbiBd+gHFoEc2BmCIcVMdqybXNYBaV190KicJEbtIGdzI15UqzvlvE0XTLyJl9SqkE7R+kyAIpx6304lGJ5JuhVOcJKlA8gYs909N51+fb2djSRNn9AkjzGqg1e5mTWE93++sZUpmKLedlnTIsiwBBjrbXFQXtRKR5Ndtn9Puxml3H9O6x2QEcukDQ8ldVkFFXhNlOxvR6NUERVkYcnY8sX0OvYYRwKCwQXxyzie8tf0tVlaspGp3FTq1jkS/RP46+K9MT5mOTq3D5qtD7nDjrLChb/kWFt6AWxNKqTICvzhfKkqKiDdtYVhpK590TuSl9Nlo1G48KjWKSoW/q4kbI57DfqmC9vndOAoLMaSkHNNnIQjCn5fL4Th1ZrqdM2cO9913H7Nnz+bZZ58FQFEUHnroIebOnUtTUxNDhw7lpZdeIjPz8HOFf/LJJ/zzn/+ksLCQxMREHn30UaZNm/ZHqif0ErOGx5EaauG1lUW8trKIlk4XOo2KrEgrj1+QxYUDow87Z0v6yHAKNtay8KlNxPYJJCzeikanoqW2k8LNtXjcCufdlX1A6woAtTvh51eheBW014LOB8L7Q/YMSD0TDhF4+AYaGXmBN4hyOBx0dnZiMBgwHOGsj+GmSM4Iv4V07ZUoQGygif7Rfmh/0UJkHhRGx5Y66v67ngj97XhCzmCb7TbkTifanW0sNq9n18BxBNW5eTFvDlE1VayveRiHYw3l1kqWj53GE37345t2D8MAXeyhW30EQRCOlrdL6BSYOG79+vXMnTuXvn37dtv+xBNP8PTTTzN//nxSUlJ45JFHmDRpEnl5eVgsBx8etWbNGi6++GIefvhhpk2bxsKFC7noootYuXIlQ4cO/b1VFHqRoQmBDN3b7ePyyGhU0mFbKfZRZAVPWRvj+weSb1BTUt1OTn4zHhksAXqSB4XSb0I0vkHGA0/O/RgW3gCWcEg9A6xRYG+BouWw4DLIngnnvHjQoEWWZTZv3sy6deuoqanp2h4UFMSgQYMYPHgw6kN0v3yeU8Fji3ZS86tZcYN89NxzeioXDYoGQNKqCL42i/plW1Ct7ODHimSK3O2Ee6Czs4iQsEBeVw1leuAnAKTa69ggSQQrddgVmStr3uVR/zu5l2co+p8GVS/qaxYE4eTmcbuRPZ5etfjh71qdzmazMWPGDObNm4e/v3/XdkVRePbZZ7n//vs5//zz6dOnD2+99RYdHR28//77hyzv2WefZdKkSdx7772kpaVx7733MmHChK5WG+EkdJjBZ1q16oiCFVddB7UvbKZubi7tKyqItrsYoZU43aDinGgTF16TyeiLUw4erLjs8NWdkHEu3LYJznwSRs6GCf+Ca7+Hc1+Cze/C2pcPeu2vv/6aL7/8koCAAM477zxmzpzJ+eefT0REBN9++y0ff/wxBxtg9822amYvyGFQXACf3jyCXQ+fTt4jp/PFrSMZkxzEPR9vZeFm74rTHlnhuWUFjF1ew2pPBtnq19ipWsI96mbuNASSv7OY0XWbuCb3W9xqiXWDLYSMfRT9mVvof/oqdKneQGqKnxFjVp/ffJ6nmuXLl3P22WcTERGBJEl89tlnhz2+qqqK/2fvvsOjqtIHjn+nTzKTTHrvvUNC70V6EREVxd7X8rOua3d11UV3Xbsirg1FRZGmqPTea6ghlfTeM8n0ub8/otEsoKCEBDif5+Ehc+fec8+9ycy8c8p7Zs2aRXx8PHK5nAceeOCEfRYvXkzfvn3x8PBAp9PRu3dvPvvss077zJkzh7S0NNzd3XF3d2fQoEH8+OOPZ/HKBKH72a3tX7iU53uX0D333MPkyZMZM2YML7zwS0r048ePU1lZybhx4zq2aTQaRowYwbZt27jzzjtPWt727dt58MEHO20bP378bwYsFosFi+WXb7DNzc1/5FKELnCyWKS+1crxWiMOJ4R6uRBoOEmQ8SuS3Untx0eQKWT43pGGOsIdmVyGJEnYyow0Lsuneu4Bgp4YcPKss6YGsDRDwmRQnmTQWOKlsOweyPwSBt3Tua719ezdu5dJkybRv3/ntP1paWlER0ezZMkS9uzZQ79+/To9v2B3MQMivXj7mvROQVlaiAevzuzN4v1lPPjVAaanh/CfVdm8tzGfO4ZHE5D8FV5bH+PV7Pf4D3NpcdGj0ZvQZNnJcwnlmoR/oVIb8VOXY5erKdf1Y6czgr7urryXdurxPxey1tZWevXqxc0338yMGTN+d3+LxYKvry9PPvkkr7322kn38fLy4sknnyQhIQG1Ws3y5cu5+eab8fPzY/z49pw3ISEhvPTSS8TEtN/3efPmMW3aNPbv3/+7Xd+CcL6wWX4OWM7jQbcLFixg37597N69+4TnKisrAfD39++03d/fn6KiolOWWVlZedJjfi7vZGbPns1zzz13JlUXusGh0iZe/OEoOwrqO21PCHDjbxPiGZ3gf9LjbJWtOOrN+P4lDU2EoWO7TCZDHeKG5xWxVL22j4Zl+Xhfk3BiAW4BEDYYfny0vbUnYTKoXNqzw5bthVVPgkoH1359wqFWqxUAg8FwwnNAR9fmyYJkL1c1u6rrqW+14q3v/M2kqc3W6fFXu0u4dWgkj038qf5hX0BdPrKibehaqvjHqmIOOSO5NtSGQhvJQRcP6hRKNHI5iToXnvX35IZg744Vmy82EydOZOLEib+/408iIiJ44403APjoo49Ous/IkSM7Pb7//vuZN28eW7Zs6QhYpk6d2mmfF198kTlz5rBjxw4RsAgXDPtPAUtP6hI6o4ClpKSE+++/n1WrVv3m4MP/be6XJOl3uwDO9JjHH3+chx56qONxc3MzoaGhv3kO4dyRkDhc6+SK5duI8tXzypW9SA02oJBDbpWRz3cWc8sne3hnVgaT0wJPOF7hqQWljNY9VahD3Nqn/f5ctlOibV81ALo+Jw94kMlg5mew9G5YdCvIFKDzAUsL2NrAKwquXwLuJyaH8/f3JyIigkWLFjF06FDi4+PR6/W0traSn5/Ppk2bCAgIOOHDDeC+S2K54r1tjHl1I9PTQ0gMdEMmk5Fd2cyS/WV4uKr4+s5BAHjr1WRVtGCxO9AofxoP4x0N3tEUVLUw78dNpPsrmHFVOjPc2q/zdF5LwtkhSRLr1q0jOzubl19++aT7OBwOFi5cSGtrK4MGDTrHNRSErnPedwnt3buX6upq+vTp07HN4XCwadMm3n77bbKzs4H2FpPAwF8+hKqrq09oQfm1gICAE1pTfu8YjUaDpgdFfsKv/PSB+vERB8EeLiy5ezDaX2WhjfFzY0KSL9OfeoeNX61nsjkeDKEQPgi07a0aCp0Kz8tiaVicgzmnAW2cJwo3Nc42G+bcRhz1ZtwnRKCN8zxpFYD2AOXar6EmG4q2grEGNHoI7AVhg0B+8kGzMpmMa665htWrV7Np0ybWrVvX8ZxcLic1NZXx48efdNBthI+OH+4bxrsb8ll5pJKPth4HIMBdy4SUAO4eGUOQR3t32FOTk7jt0z2MeXUj03oFE+mjw2J3sr+4gW8PlBPnq2XeRBW4/fI6EMFK12tqaiI4OBiLxYJCoeDdd99l7NixnfY5dOgQgwYNwmw2o9frWbJkCUlJSd1UY0E4++w/tTSft11Cl1xyCYcOHeq07eabbyYhIYFHH32UqKgoAgICWL16Nenp6UB78/rGjRtP+Q0FYNCgQaxevbrTOJZVq1YxePDgM6me0MMoZWBzOrE7/2dwat5a+P4hlmoKcUoyWKEApx2UWhh4N4x6EhRKdH39UYfqad1ZiaWoGUteI3KtEm20B9orvalqKaJg5UEAPAICCU5MPnnOAN/49n//Y3ujkfnldexvbqPJ7sBbpaS/QcdNwd6kuLkyZcoUxo4dS2VlJW1tbWi1WgIDA393arOfu5ZnL03m2UuTsdgdSBKdArafDY/zZfn/DWXOhny+3FVMXasVmQyiffXcMzKaW70PoUv4/bEZwtnl5uZGZmYmRqORtWvX8tBDDxEVFdWpRS0+Pp7MzEwaGxtZtGgRN954Ixs3bhRBi3DBcDp/WhOuByWjPKOAxc3NjZSUzrMRdDod3t7eHdsfeOAB/vnPfxIbG0tsbCz//Oc/cXV1ZdasWR3H3HDDDQQHBzN79mygvZ94+PDhvPzyy0ybNo1ly5axZs0atmzZ8mevT+guEtyequCH5TYmv7mZ6weGkxpswK3+MAnfX8UBZSqzbTdy96yrGJkUDI1FkPkFbP4POG0wrn0wt8pfh8el0Z2KPrhmBZtfeAazsaXjxeR0ONDodAyZeT29x03+3ZaIlwsqeK2oijhXLWO83fFSKai02llb18wXFXX8Kz6U64K80Wg0hIeH4zSZMB85gjUnF7tOhzYpEaWX1+/ehp+7eqxWK3v37iU7O5v6+vbxPF5eXsTHx/Py9D6o1WosdgcKmQylQg55ayB49BnfduHPk8vlHQNqe/fuTVZWFrNnz+4UsKjV6o59+vbty+7du3njjTeYO3dud1RZEM66nxexlfWgMXJnPdPt3/72N0wmE3fffXdH4rhVq1Z1ysFSXFzcsZIvwODBg1mwYAFPPfUUTz/9NNHR0Xz11VciB8t5qz1YiPGUs/Tegfx7RTb/WpGN1eHkKeVnGBQGXvF5nkfGJ9Mv4qcPfc8IGPUE7P4Qtr0FY58/6XSjrC0bWP3ft0kZNZY+k6bhHdK+fk59eSn7fvyWdR+9h1KtJnXUuBOO7SjDaOK1oioejQzggXD/TsGN3SlxT1YRf80uoZ9BR6xSRs1rr9Pw1VdIJtOvLlGG/pLRBDz1FKqA387739LSwieffEJDQwOxsbH07t0bgKqqKlavXs3evXu58cYbf3mNNBSB1gNcfqO7SzhnJEnqNCPxj+4jCOcTyekEzuMWlpPZsGFDp8cymYxnn32WZ5999rSPAbjiiiu44oor/mx1hB4m2lfPe9f3wWxzUNpgwrDvMD57NvD5NE8I+J8WCpsJ7ObfLO/IxrWEp6Uz/i+dV0L2Dglj7O33cnDNCla99+ZvBixFpva+2Rn+nie0xCjlMgZ76FlW3cj2RiO6l5/HuHEj3rfdhtu4saj8/XE0N9O6fQe1c+ZQdO11RC5bhkKvO+X51q1bh9ls5u6778bHx6fTczU1Nbzzzju8//77PPzww+B0QPk+SBZZnn+P0WgkLy+v4/Hx48fJzMzEy8uLsLAwHn/8ccrKyvj000879snMzOw4tqamhszMTNRqdUdXzuzZs+nbty/R0dFYrVZ++OEHPv30U+bMmdNRxhNPPMHEiRMJDQ2lpaWFBQsWsGHDBlasWHFuLlwQzgGn46eA5RRj/bqDWEtIOCe0KgUxfnoYdTfS8e9ofHsCDQGjwCceDx9PPJyVyA4vbh/LcsOyU6bM13t6UXz4IMb6OvRenRdMbG1sOK26DPTQ4aVScNuRQl6ICaavQYdcJsPulNjU0MI7xdVEuqiZqXBQuGoVgf/8Jx6X/xJAKDw8UIeFoRs8iPyx46h48klC3nj9lOerr68nNDT0hGAFwNfXF2hvhQEgdxXEjj+t67jY7dmzh1GjRnU8/nnW4I033sgnn3xCRUUFxcXFnY75eWwdtE8i+OKLLwgPD6ewsBBoz+1y9913U1paiouLCwkJCcyfP5+ZM2d2HFdVVcX1119PRUUFBoOBtLQ0VqxYccLAXEE4n533Y1gE4bSdItNtYVYOG/NSqS31gNwGYAcA3i5WhvcfQNQNj4NPbHsRDglrUTO26jYkhxOlh4aBU2ZSdCiTjx+6i/jBw/ANj0SGjJri42Rv34zOw5OZz770m1XzUClZ0Cuae44Wcen+PPQKOR4qBXVWOyanRB93V95NCkdtNYNCga209KTl/LxdHfbb0+kTExNZsWIF69evp3///uh07a0xra2t7Ny5E2jPKUJNDrgHg9r1N8sT2o0cOfKk2YZ/9sknn5yw7bf2B3jhhRc6JcM8mQ8//PC06icI57OLYgyLIJxqvGth5l4WvfQsYclpXDbrJnzDIgGJmqLj7F/5PUs2ZXLZgAaifcCUVUfj0nwcTZb2BSTkcrA7QSljxvjHyWrdQd7enRzZsAZJkvAICCLtkgn0nTIdV4NHxzntdSZMR+ux15lAklB6u6BN9CLN15UN/RPY2djK/pY2mu0OvFQK+hl0pLu5tncVuWjwufNOat99F9OBA7iNG4cq4JcuoaZvv8V10EB8T5Li/df69+9PW1sbW7ZsYePGjbi7uyNJEi0tLSgUCkaMGEH/jN6QuxKSLj1LvwVBEIQ/7oIcwyIIp2vfiu8Iik3giief7xS1u/v6E5XRn1evuZSl//oH9/77C+o+PYo23gvv6xJRBetBBo4mK217KmleV0Lq0BEMe/Wmjm/MJyQedEo0fV+AcVs5KOSofNtzn7Ttq6bph+Po+gfgMS2awZ56BnvqT1lnn/+7F01cLPUff0Llc8+1Z8qlfWVk3/vvw+vGG5H9zgtaLpczevRo+vfvT15eXqdZQjExMej1ejj6LcRNOPObKgiC0AU6uoTEGBbhQidxYtO7Sq2huaYau9WK6n9ymdht1o6fTZk1KDy1eN+QhEz+SyCi9NDgPiacls1lGDeVoh2twWjMxuE0o9X44+aWjFzenofFuLUM47ZyDJOi0A8MQPZTHhTJ7qR1TyWNS/ORqRV4TInqKL/WVMvKwpVk1WXRZm/Dx8WHvv59GTX2EiImTMBpseBobESu06HQ/0+QI0lQuhuOb4SWqvZlAALSIH4CaNpn/+j1+o4ZQp1UHATfhJOveSQIgtANRJeQcHE4RZ/QgMtnsuDvjzLvkXtIvWQCfuGRIJNRU3ScQ2tXotRomPn3l5CXqHG2WLFVtqIO6hwYOC0OJHv7C2nrtmGdnlMq3QkPu4Pw8DswZzegjffCbVhw56op5egHBtG4NB/jlrKOgGVZ3jJe2PECDslBvGc8bmo3chty+fLYl4S7h/PGqDeI9ohGfrLsyy2V8M0t7dl0tYb2rL2WFtj2Zvv05Kmvn3rWj7UVmssg/vTXxBEEQehqkuPnQbciYBEuQn4RUVw3+zW2fv05OxYv6FhcS6nWEJXel8uuegbvkFCcIXZMB2uoficTl2Rv1KHuyFQy7DUmWg9U4cRC7bCvSU5+HQ9DXxQKV0ymIiorl5Ff8Co2exO+gVfRuqsSS2FTp8UTAayl7TNylD91E+U25PLMtmeYGjWVR/o9gkHzy/45DTnct+4+Lv/2cvZcuweV4iQrQ39zK9QXwLXfQPQl7eNtABpLYPXTsPCm9rWLAnudeGzuKkic9udvriAIwlnkFGNYhIvG/8zGsNsctDVZUbv4MOW+vyFJTowN9YCE3tO704tCrlHid1cvjNsraDtYgzmrHsnhROGhxR5WRanf2wwYsxSl8pdkhCpVGu7uaTQ27qa4+L9EjLwXa3ELNe8dRB3qhiqofWaOrbINa1EzqmA9Pre0Z2feW7UXgL8P+vsJAUmcZxzDQ4bz5bEvOVBzgL4BfTtfp6UFirbApW9D7P9Ma/UIhcs/gCNL4MPx8NT/rD5esguC+/wS4AiCIPQQYgyLcFGQ8UuXUHleI7uXH6c8pxHnT2sKqV2URGf4MmBqFDqPky9gKVMpcBsegtvwkE7bS0qOYM0vx2Kp6hSwAEiSE7ujFQCFiwrfO9Ko3VlEzc5CyKzB6XBiUtuxxrXgllFOY9l3yOVqAnDFKTl5a/9b3Jt+L2rFL2NJqlqr2FnRPvU4yfsk68So9WAIgwNfQsJkcP1VMjxJgn3z2n8e/VTn40wNYGmG0P6nvI+CIAjdRfopcZwYwyJcFApyYcW3+/AJdWPoVbF4+LvisDupKmzmyOZyig7XceVj/dB7tgctFoeFTaWbOFhzkBZrCwaNgd6+vRkaPLSj5SMw8ArKyhewe890AgNnYDD0+alLqJiqym8xmQpJSvw3crmG7OxsFq5biFKpJDolGoNBgyR9jFJ1kNYaBQqFHy4uKhymEqZ5aJl35BMW5y0m3TcdN7UbFa0VZNZk4q52Z/6k+biqTpIfRSaDy+fCF1fD66kQPRo8wsBqhKJtUJsD/W6DQfd0Pi5/HSRf3tW/AkEQhD/E6XT2qO4gEAGL0IV2bJERluLNpLvSkP9qtk9Eqg+pI0L4+G9bWPDCTm77z3D2V+/nkY2PUNVWRbA+GE+NJ7XmWj46/BEh+hBeGfkKyd7JKJV6+vZZSGHRXCorl1Ja+hkAMpkaT88BZKR/gafnAGw2G0uWLCE6OprLL78cjUbDkaN/paamgLi4V8jNMbB+/SZmzJhBnz6BBB9/k6TCLyjRj6XQ1EaZsQxvF28e6fsIU6On4qZ2O9VlQvhg+L89sOdjKNwM1UdB5Qoh/WHyqxDZeXAwxzdDxLBTJ6wRBEHoZk6Ho0d1B4EIWIQuIkngsIOLXtUpWPmZWtv+QrC02mmyNHHP2nuI9Yjl/XHvE2X4Zapxdn02T299mquXX82OWTvQqXQolW5EhD6IxnoLTbU1yBQ2vAIC8Y/w6jiX0WjEbDaTnp6ORtPeglNbu46w0FsICpyOt5eF9es3sXXrVlJT/0J83HOUlX2Ov2UpD/c9ijmrDnutCZqBumbsiUqU3i6nvmC9H9LQh7EGX469oQGFuzvqqCjk6v+ZqtxS2R6o6P3+3A0WBEHoQpLT8bs5ps41EbAIZ99PLQe9+khsXleJw+YkcUhQR5dQdWEz+1cXo1TLueKxvhys2U+LtYV/DPkH4e7hnYqK94rn9rTbeWjDQ3x65FP+0usv7F9dzN4fCrGaHb/asxo3by3DZ8YRkeaDwWDAz8+PlStXolIqsVVXYDfqyc/6jIMrGim3tLeY/LxGTG3dOgB8HBOp/NcukMlQemtBJsO+y0TT9wXoBgTiMTUK2f9M83NardS9N5eGzz/H0dTUsV3u6oph+nR8H3ygPW+LJLVPfU6ZcbbvuCAIwlnV3sLSc8avgAhYhC6UlgHq0ER2fptP7p7qTs95y+oYN9wNrwBXotuiUcgUfHrkUx7t/2inQa8mu4kfj/8IwPjI8exfVcz2JfmkjQohaVgQngE6nA4n1UUt7FtRxA9zDnLZQ+kExXpyzTXX8MXn8/ls/nyw23HXpZHYewOusZ/jUx+AhwaOZZai0NfS0nIID/lQvNbMwH1MOPohQcg17S8Pp9VB2+5KGr8rQK5RYJgY2elayh/+K8YNG/CcNQv9JaNR+vriaGikdcsW6ufNw3ToEBFffI7s+Ib2ac+CIAg9nNPpFC0swsWifUZQVIgdxa5naWqRQe9BqAMDcJMbkR3dh+m5A5SsHkTIu+/y5MAneXHHi6wpXsOAgAF4aj2pM9exs2InrbZWZg+bTZQhivlbt5M4JJBhM+M6ziSXKwiK8SDgbgNz7l7Pkv/s5573RuNhMKDNO0yA2oXwoaNwKpSoVONwNxzEw3CIZkMudXXb8NP2Jy11DiwPhBgZ7qPDOl2JXK1APySYxu8KaNlY2ilgsRYW0rJ6NUH//heGqVN/OSgSXDPScR0wgOIbb6Tm3y/gd/1UcPHo0rsuCIJwNkiihUW4GPx6LGnVCy8ik8tJW/Qh6tDOqxq3bt9O8c23UPbXv3Ll22/T178vi3MXc7DmILmNuXhoPJgRO4MZcTMIdWs/1tVNTX15KzaLA5Wmc/RvrDcD4Obdnvbf2FBPY0UZlz78BLH9B/9qz/YFBu02G29cN52qABX93xhHo38BrTsrsRQ3owlz71S2rfKn6dKG/xmT8tM3EKfZfNJ7IVnbk+PJrXUQ0ue3bpsgCEKP4XSKgEW4yFjy8nAbc8kJwQqAbtAgAIxr1kL2CiL3zePh8v1IpmZMRi9am4OxqdTIPD+kPjYWtzFjGTwjhmVvZPLFszuI6++Ph/9PXULFLeTsqsLd14UZj7QHBjoPT/TePuz5bgmBMfHovbw7zm232dj6VfsMo5E33A6A++gwrIXN1Lx7AHWEe/uyALL2YMVS0ITS3xXf21I7XYM6NBTDtGlU/v1ZTJmZuI3+qUuosRHjli00fvU1rqkxeP/tn11yfwVBELqC0yG6hISLxM+rKOtHjqThq69Rx8SiHjUBhVaDRqfE2dRE8SuvAFCYHMLOF1/G1VWLNrAv+n1FhNR5Y/Pwwaq1oS48inzREqpfehnfBx9k5pMz2beyiOwdlbQ2WUEGHn6u9BodQvrYMDSu7Tlb5AoFUx94jGWvvMB/772VoPgE3L19Mbe1Up6dhaWtlRHX30p0n/bkbXKtEt87e9F2oBrTkTrM+Y0gSSi9XPC4LAZdhj8y1YnfOAL/+SKahAQaPvuMpkWLO7YrvL3xuvpSfGZNQ+byG9OiBUEQehjJ6RB5WISLwa9WWL72L7TsK0Z6+mkc8n9g0nqjkDnRttXgBIoig5B5NhAWPYj9xhZiS0IIjLuGOpUNM1Y0qNA53bCmWdApjlP9r38REBBAnyvGMHxWPDKpvQvqZAt01VrtNAWFM+alt2natZmKo4dpqqlCrXWh19hJJA0fjVfQ/yyOqJDhmu6Ha7ofstPMkyJTKPC++Sa8broRe3U1jvp65G7uqPy9keWugnDRFSQIwvnF6XSKPCzCxaO8BL5dfBh96s0kTrsOt7JDqKoraKpv4lDFAZqCh3PVHX3wWH0Tq6Y9TM2KrQTIQlmo3IHBsxJX1yZkcicWsyv2pjAmNI9E4ZdC5UMPMfGyV1ApZKSFeHDDoHAu7RWETCZDkiS+qWrg7eJqslt/GVdi0EVwxZR0HokMwEN14p+92Wxm+/btHD16lLq6OpxOJ56ensTGxjJkyBAMBsMJx/xa5fEmsraUU1XUgrXNjoubkUDPQ6RcOgKPs31jBUEQupjT4ehRaflBBCxCF9qxVYZvqJ5pD6ajVCmA4QAc3bye0rePo9EM4svPXbgrwof9W18hoPkqWgJ2MDBqOwqtDZlTidzpwKGUcDq3sb/sMANk91Jq3sg7szKoNVpYd6ya+xdksqewgecvS+E/hVW8UljJJB8DD4b7E6pVY3Q42dZo5OOyGjY3GPmxbyy6XzV1trS08NFHH2E0GklJSaFfv37I5XJqamo4dOgQBw8e5MYbbyQwMPCk17n7++Ps+u447r4uhCZ4otWpaK2sJCdPy6EX93HJTYnE9Qs4F7dcEAThrJBEan7hYiCTyUACqwU8/LQ/BSvtJEkiPySG1aOmU+8mQ6ZwIS9+MZ4H/4vKcJzYpE0Yc92p2B3EuJxCXIL9KfYJp963AO/BRzji/JDJN8zvGAx24+AI3lmfx79XZjMw2pu36qu5L8yPJ6KDOtVphJcbV/h7MmzXMe4+WsS81F+y6W7duhWLxcLdd9+Np6dnp+NGjhzJyy+/zNy5c3n22WdPuNbaUiO7vjtO38kR9J8ciUwuA4sRCnOx3zqWFe8fZvWHRwmINODu8xuZcgVBEHqQnpiav2e19wgXlLQMifx91az68AjluQ3UNZm5cm8etxfWUR6SgmtbIy7NuawuruXtsNtYlDiW1tZgEvJeIM5jDJXRUyh19kbVmozKdB8ymYRL+K4TRq5H+egAKKhtxSFJuJ5kPAuA9qftRruz03aj0YjBYMDDw+OEY1xcfjvIaKxqAyBleHB7sAKQtxpix6FUKQhNaF+9ufRYw2/fLEEQhB7E6XScdGxgdxItLEKXSUoFeUAiO5YVkLu7irVpLuyO0XLNNiP95WoGXjYKizGXyvxc9jWX86+QVF5T3cE1IZsIaEhEpY6nVWalWF1HheIIg2TtM48qmkx46zQdXUKvrc4hKdCdu4ZHUXu8gpePV1JitjLNz5MQrZoWh4PtDUbeLakmVKvmo5SITvXs1asXn3/+OQsXLmTo0KH4+/sjk8mor69nz549AIwbN+6k1xgU64Faq2Dlfw8z/Oo4vJ1HkQX3RUJGeXYDBzeUovfUkDBIdAkJgnD+6IljWGTSz/NPz3PNzc0YDAaamppwd3f//QOELnNwzQpWf/AOD79wP8SMwemUqCs1cmNRCW4yOe/FhOLh73rCLJyA9ZkAzHdeQX19CC3N3kiSAi9vGwZDAVanxMu776Kw6ZdMtDIZhEd4MGVkBOOCPEnRu/BBaQ3vFtdQabV17KeSwVRlI8+YthMgtYFXJMSOA0MIAIcPH2bFihUYjUZkMhkymQyn04larWb48OEMGTLklLOGKvIaWf3RUVrqzbi4SmjddbQ1W7G02fENc2Pcbcl4+Lme5bssCILQdX5851Waqiu5+rl/dfm5TvfzW7SwCGff/3yuy+UyfMPcGOP04rXCKlZKZq7ElZ87dhySxNKq9i6TK73diHN/imrDD7S25SNJNhRqPySXEXj4TuOj9DQW5rbw4fEqjHLw8dVh16l4t6qOV8prGOHpxjtJ4dwW4kuByUKV2YbrgfnEbXkRnaMVDKEgk0NjMSBB/zth3AukpKSQmJhISUkJtbW1HbOEwsPDUf/visv/IzDGg2v/MZCSFd9RLaViNTnQuqkIijEQGO3xS1eRIAjCeaInjmERAYvQpZxOBzk7tpK3azselRWkpgzhAUnimWNFJBv0yGRyjrW0Ue9wMq7KzgOry5E7owkyPMz6uAN86lxEeVs5UAWsR4Yci0safWPu5J8p/Yhw0QBgd0qsqmvioWMl3Hb4OEszYolx1RKTtQA2PgbDH4GBd4Nr+5gSLC2w52NY/TRoDTDqcRQKBeFhYXgdO0bz9z9gycuj2GZDFRiIbuhQPGdeheIk41wAFMWbiRg5mAi97zm5r4IgCF3JabcjV/asEKFn1Ua4cEgSVouVxc89QdmxIwTExBEWE8tDllr278lnm0yDKTCUoLAkpueaGW2V0y/BH+U1LuBw8nHOPN4zfsoo0wCeHPM4oVUWLF8tpnnPftTNe7Bo9mJLH0DLNdehHz0apVzGJF8PFlTUs6qumSKThXAXDRz7HqJGweinOtdP4wZD7msPWDa+BKMeR7JaKbn3Xlo3bcalVy/0w4chU2uwFhZSO2cO9Z99RtiHH6KJjEA69iOy46uRNRSCwwYuntD/tvbVmE8z4ZwgCEJP5XCITLfCRaH9A3vnhl1UFxYw89mXCElM6Xh2DFBdWMBnj97HpLA78EmIxOeOZGQ/z+JpMLNvTTU3S48TUxxI254SKg59jZ9rPd4JesrkcjbQTErxXg69kEvDvPcwKeXIlSoC3X1IjUrBe0hy+8l84rDs/4wlO19hfXMuxc3FAIS5hzHaK5XLZKDRtCeFa/h6Ia3bthP63/fRDxvW6YosJSUUjJ/A8WmXtgckEsjVoIvxwjtdgYtHLcyfATFj4apPQS3GrAiCcP5yOuzIFT0rROhZtREuKDWVtQTHJ3YKVn7mF9GeB0UhKVB6u3QEK/tWFbFzWQG9pLE4PNowOhxUKSWyJvWi1e0IrvpSnE45WQ41SlMAbnbwL6+ipc8AdvoF4VdZwoRNy/i+Jo/LH3+O5v63clv5co5nfcJAmStjdcEgk5NTcYDZZVtZEBrGB1O/whuwFhSgDg5GN3RoRz0lh53aTcspmD0PXINxd6nBM6KKr718abW4MDirleYvrPi+/CK+413hi6tg0W1wzRfn5B4LgiB0BafDgUqt6e5qdCICFqHLRMZFsO77jexa9g3p46eg0mqB9pWSj25cC0BrgAnXHRUgSdR5aNm+OJ/eI4Mp8t7B7PJXiGvSc1zXgiSX422MAHMoVe75IHOybFgN/1ekIfVAA1rvYkx3PsRNwd44CnL46tnH+PGt/7B/sI16FwPfhE4j5vh2KMsDyQlekeRGTuXywgVcueEBHh75NeaRY9Fs3IL278/ie8/dHN5Vy67vc9Daa3CPHI8ySkaRpMAot+Nw3cPxwFzmpwXy+ufHkP3tCVo2fU8UQPb33XbPBUEQzobzfgzLnDlzmDNnDoWFhQAkJyfzzDPPMHHiRACqqqp49NFHWbVqFY2NjQwfPpy33nqL2NjYU5b5ySefcPPNN5+w3WQyof3pA044v/w8/bf3gF40y7zY8uWnbFv4OV6BwSCX01hRjs1iJmXUWCIuG0zRj7vJ35hJlSUIrcxAYFYWysTvuNxgZTEt9D8mMWuDjYO9r0cteVPUfzG6nUWs7VfNywktLHBxoEyUyN1UymxNJanB7Ssj5+7aRotuEBMabuNIZSq52nH4xuqJ6x+Au48LOTWNULiAmrYKbj1cCGjhqZcJqq3miue+ItiqYrCbL16aRACckhO5TI5TcnC8xRVv60CmF1Yjc1QBDXwxfxJPAfS7vRvuuiAIwtlz3o9hCQkJ4aWXXiImJgaAefPmMW3aNPbv309SUhKXXXYZKpWKZcuW4e7uzquvvsqYMWM4evQoOp3ulOW6u7uTnZ3daZsIVs5/MrmM4dfeTEriSOq25eNssAESsj4qdCn+7M/8gY/uvwOg/YWhiEOtm8jiuj2sUU0gT5aBlq/4u1RNoSERrd0NpwJufGsDR7y9ORQsoyEcGie0MtsygSsMX+JpOkTb9w7AlZDhCvwaJHLrrJT5FxMgBbNvVT27vy9EP86Hv0uL0AEzku7l/3q1d1sdNZp4v9CV+sM1XG3yp05Wzzfyrxn7/Q6cWh3Vvfqj9tQQ7joSlbkal4av0TZb0EeaeKq5gZyY6cRNmN1dt1wQBOGsOO/HsEydOrXT4xdffJE5c+awY8cOVCoVO3bs4PDhwyQntw94fPfdd/Hz8+PLL7/ktttuO2W5MpmMgACRCfRCI9mh7rMszEfrcPMwoIrQA2CrbMWxuplgazjht2QQHhlBw8sLMHsOZL6yjsDG0Uxc1cTuaDUH/J087D2NYZGXYqCBDNvb6Hs3E6iQqPNtj/63FPZignw5zhITNTYNcpWER6wNlUcDPokf46YM5YXCRmxIhAaHk5A7nMgfM4hLPMKEobdyX8btyGXtY2iGebkxxEPHgvkbUagULPV/lVuqX6I8zYAjZxlBm75DAirHRhKmi6X+uBvuMS7YY+N5pclMwOj/EKdQddctFwRBOCscdjsK5XncwvJrDoeDhQsX0trayqBBg7BYLEDnlhGFQoFarWbLli2/GbAYjUbCw8NxOBz07t2b559/nvT09N88v8Vi6TgntGfKE3qWhkwnzcXHMMyMwJCaiFLZvi5PTXEh6555leHek1Hus1HzxkM0eKfzWoYb6wL8eDz/v7AtltS8UBzmaRwJ+44c7734mnSskNmxKN3JV8vQOFTocmdwKNDEcP0mWnNd8ZRJeHvKKShMpDq/FM9ANbFTinkvZSw15omUmctpDbHApzCs9A562eewY8cy1GpfPD0GEBw8C5PMhwKdhuE2JbF5d/CaxoTFMxHX/hLuCg1BDWEMVrRfywM3Wfi0+D80WSowOdZybaBXd95yQRCEs+K8H8MCcOjQIQYNGoTZbEav17NkyRKSkpKw2WyEh4fz+OOPM3fuXHQ6Ha+++iqVlZVUVFScsryEhAQ++eQTUlNTaW5u5o033mDIkCEcOHDgN8e+zJ49m+eee+5Mqy+cA1ZrHQD7ve8HPys0gGyzEk/PQURFPoA8r56IQ5sxtq7BqFZS4u1OfcMO+i09QKTei0okfNrWssVnGOWmRKIKnFj8jlKqV1JhtaMwu0B9OOqWOEJlbcwaN5+K8niqLBrGfXsQ7eAwCj0n0eZw0tu5FiimqXE1qauuJRUvnEhUuEr8K03FAvNfmaIvJ4xiWkqPkpv3Aev2D0Bu9WC0rZzRbtHEm4qptZmwO0NxlUOwtzsGlQ9zPRbwWOUDmJxtbGpdxX3/euWU6fsFQRDOJ06Ho8d1CZ3xWkJWq5Xi4mIaGxtZtGgRH3zwARs3biQpKYm9e/dy6623cuDAARQKBWPGjEH+0+JJP/zww2mV73Q6ycjIYPjw4bz55pun3O9kLSyhoaFiLaFu1tZ2nB8/vY7C9Z5MvjYBWU4s7iPCsAfUUF6xkFZjNp5vy1E3hFPjn8Q+KQ+Z04FOsqJvcoBMotJDh1MmoznWg4qgAHZXZdBsdcMn1snE4v14WFVozEHkOoPYrKzhkejXMcS0cLygD5uqBnC0MQAPuSuP6Ez4xS2lJXAnpjXjUMkm0mh0wyBzkmBQoJBrmDvJj4XmNprsDgBcDtegqG7j9Wt7Myk6mAOfr4QsE174oJApMDnbyFUcJ8+tjFGtA7EY66kLqmXQrdfi7uPXzXdfEATh7Pjg/24lftAwhs26qcvP1WVrCanV6o5Bt3379mX37t288cYbzJ07lz59+pCZmUlTUxNWqxVfX18GDBhA3759T7t8uVxOv379yM3N/c39NBoNGk3PmiMuQFHxf5HL238vcbHjaTCGYFpUi8LNi8jAFzgUcTn19zoI++EB9pe+h97Lm5b6OlrQ0uQhZ8qhXJzF8M9Zs8g4spNVCTOojIsgcE8Ww6uPoJZb8U7cTYTVSINyJLebGgjOtiM3y0hK2k5szC4UjRKowKkHo8WFwjVBeDb5oVbtw29oGlbXlwgevp6qF/dx17eVPP+PwdTb2gOWK3YtIsTvIMOCIpCrwkm/aTIADlMTjcfWMHShBM4QNmb0RemvxSd+JBrXUw8oFwRBOB85HI7zv0vof0mS1KmlA8BgaM8cmpuby549e3j++efPqLzMzExSU1P/bNWEbuB0WpEp2hcLlClAf1Uc+/3UGA/X4lLWgjKifb/awTqcXzmIGXgTmSs/Z3tAMlnyYKYcegY5YHRNBnZyyfZdBPSeR3zfIxQXpVJVEsfA2hLimmoZJCvArFIi6eS4N5mwbVewyy2eaq0LDSY7CUzCUawj/sgXDOz/Bsp719Lm6cWOnc1kZf8NL65GcjiRyWR4qWTU128h3uMw64v7sbHAh8lpEoqfFi505K5jeVsGOI/yf6NjCB8X3y33VxAE4Vxw2u3n97TmJ554gokTJxIaGkpLSwsLFixgw4YNrFixAoCFCxfi6+tLWFgYhw4d4v777+eyyy5j3LhxHWXccMMNBAcHM3t2+9TP5557joEDBxIbG0tzczNvvvkmmZmZvPPOO2fxMoVzJTTkBrJstwF+HKrdxT9W1lFYb2FgaDMD4jYRBDStnkBWXRvI9GSunIfK5RJGNli5sWAhVrmSTwYPIv3IlwC0RpbiHnqY1qxhpJVY0LqsI7KpgQUuk1hn6MdQ3RqkDd40+HkxUL2fIS0HeNrtTj6MvwqnQom6t0Ti4F5MP7SHW+TxKOslkuzvYfqhAYeylYrh71C680Uslkrs9hau7z0Ap8sE7luQyd+/PUKsnxsOczM5DVpaLEe5fmA4D4yJ69Z7LAiC0NV64hiWM6pNVVUV119/PRUVFRgMBtLS0lixYgVjx44FoKKigoceeoiqqioCAwO54YYbePrppzuVUVxc3DGuBaCxsZE77riDyspKDAYD6enpbNq0if79+5+FyxPONXf3NMLD7qSIJVS3fcRdyb88J3OGULL1Lsy1SYRXbMCloYUcvxZMjgXI0JITpOdwSDghLeUYtQ429W6kxKeItVUuRFpKGdr2F+5WP0y2LIZcexS+1a3kS/1x82ohQuvO91fOY+DXvXm+fC7/jZ3FDVIhYXYDa50qnh0zmsw1R3nqiAXkCvRxMTgGluGrGoHd0YZG7YenZ3/c3dMZMkDGgZJG1mZVUVzTiFwlMSothvHJAcT6u3XfzRUEQThHnA47ih7WwnLGg257qtMdtCN0vcMb1rByzut8Fnc1j4/XMzbJF8nuz4JnitC4qrju+UGYrEbenv1vXJrN6Fo1tKqMKO3uINOyeIg7eZGDcSpVRLYWMr1mH36VOvzNXgxyfI5GKmVD691kp+fwWuiNzPzhByZs38ibf72VpQfuY4PnQIrGvsuMmlJq35uL+cgRNsz9jGfNTl739+OqaD/kmtOI1SUJjiyG5MvFCsyCIFxU3rjucoZdexMZEy/t8nN12aBbQThdUR4ezNmuIzUqFfdmO1CM3lODUyFjzqK1tLm48GXaRAbpDZTULGPa3iEADMvaQ1LLXpQqV26rC8DHMpYilzrKVKWUyKaSKL3DeMNsBlX4c5npWxwDp6P1aGHpgfvINoewdFsv5Jvn0tRUwQi9ndiPPyI9Ogr255Glkk4IVpqamti5cyf5+fk0NzejVCrx9/cn1V9F6sBRyEWwIgjCRcZxvme6FYQz8epwJU/tKeb1ZcuJMlgIT1Zjqgvn3480UKaxEeriwqMhTr49+AN9KvrhxEGW7xYSK/tRUl/ALY5onMAz6hyqPbbiZbdTJtex35HBIFMroa0thDnakCzbyFT68++2CXyrHIJPihyVU2KJCd5TK5jcqGPt0SKiXDQ8HhXYqY7FxcXMnz8fhUJBQkICKSkp2Gw2So7nsWRrOQcrrVxzzTUoe9hoeUEQhK7idDiQnE6Uqp6VtVu8Cwtdpsb8BjfH5yChxeTwROFjxE/ZQmCbJxW7bqatOgPjAgej6U+pt4JVKUspdFvDlpCt2Ixx/LMmnfddNxMotRHSEEIjCipN4JBc+dzVDQ+ZjrHGNF4N9iKzuZEnrk6mVWZheW0TEoDFgS23mYWr80m5JIz3h8WiVcg71fG7774jICCAWbNm/ZKlWZLAr4H8kZfw2WefsXz5ci677LJzffsEQRC6hcNmA0ChVndzTToTAYvQZcz2atLS3sfbawRyuRJJkmhqzOLIwedQjXiNT4+lE9TYG4NTw/qEZEo9r8VzfzAO7T4MbnvY39wHhcNKg17OjsAYrlu0hdfip3FjijvX6lz49sAalrjsYX12b56cnMSMtCBmAFUWG3ubW2mwOdCny7n/tW0cXltM0NgTp8o3NDSQmpraebHNvDUQM5ZIdfvaR5mZmSJgEQThomG3WQFEC4tw4bJZLeTt3EbW1jUAxHheia/PJR3Py2QyPDyTGDDkIzZuSmNCTCbWkCnckHQDtzQ18++SWr5uTcHh1o+6WAOfKPNJKy7lr3WXIEeDy/Q+hBytJumIhKvMRHREBAcqjhHhqWFZZhlTewXi56bFX6Nikq8HkiSxeF8ZAPeNjjlpnZOTk9m8eTOurq6kpqaiaS1DcvGitsXCunU/AvzmOliCIAgXmp8DFoUIWIQLgdPhoKogj6qCPNQuLri4G9i+8Asq8rI79qlq3Ymfw4Tip4UCoT0xYEXlYgDqtRl8vP8tbE4bkyMn86+UKExHGlhztBpPt/3UKLKQCORYWjO9lTGUlLRgRqIixo2AsSGULz8IwL+v7MUd8zMZ/q/1DI3xJczLFZPNwd6ienKqjMzICDll7pTJk9sz2S5fvpzvv/8enUaBHSVmsxmdTsdVV11FSEhIV91GQRCEHsdhswOgVPWsLiExrVk4Y03VlXz32ktUFeQhVyhwOtrT2qu1Lky6YiwGTz3FNQdp8liKQumOj88otJpA7PYWGhq2Y2zNJiTkesKjHuO1va/xdc7X2J125DI5HhY548pj6GVvxlvZRr4ikTx7IBZJRYXTjUh/DyLdZRQVFaFWq7nmmmsICwujsc3KF5uPs+lgJVVGC2og1lXLpQl+XDI2GoXrb39TaGhooGDbMpq1wSjVWvz9/YmMjETVw75hCIIgdLW60mI+efhurv7HvwmOT+zy853u57cIWIQzUrBvNz++/R80Oh3jxvchOCYah91BU5ORg+VGDpU10djYBIBebyIuvhwvr1qgGYXCFTe3FIICr8DLa0hHmU2WJvZV7UOTvYL+Oz9GLkGLT28qbDqUphpcTVVkylIp9R6KTOOGXq8nPDyc3r174+rqCkDbwRoavslBcoI61A2FTomjxYa1pAW5VoHXrES0MR6nvrDqLJCc4J986n0EQRAuAlXH85n/2P1cN/t1/KNO3p1+Nok8LMJZ01RdxbqP36Po4H4cdjtRqalMHJeCts9MUCixmc0s/OgjGhoa6NWrF6GhoahUKurr6zl06BD791UzY8YMUlJSTlq+QWNglEcC7JgJCZNgymsYXDwx/LyDsZqgb26BwufgoWPg3nlqsr3RQv1X2bik+OA5LRr5r1pTHM1W6r7IovaDQwQ+NQCF/iRNnDYz1OVD4pSzdMcEQRDOX44eOoZF/vu7CBe73J1bKdi3G4e9vV+zubEJjVYNPyUV2r9/P3V1ddx+++1MmTKFXr16kZSUxNChQ7nzzjtxd3fnm2++wfFT19FJVRwAhwXGPAcunp2f0/tB35vbf878/IRDbWUt4JAwTIrsFKwAKNzV6PoFANC2v/oUF7gS4iacxp0QBEG48HVMaxYBi3C+yZg8jVkv/gd3X38A3AwGJPkvjXNmsxm1Wo2Hh8cJx8rlctQ/zeX/zd7HoN6g1MKqJ6G1rmNzrdXOioJjlG1+F4DNkdMxO5ydDlWFuIFSRtPyAhyttk7POZostO6qBMA13e/E85bvB/+UjuBLEAThYuf86T1W0cPeF3tWbYQeSS5XEBgTj6XNCED6gBTkvxrrkZaWxrZt2/joo48YMWJEpy6hgwcPUltby+DBg387W6xbAMz4EJb8BV5NQApMJxsdpqYKxrTk0KLSM6v366zLa8G76CgvxAYz3b+9JUZp0OA1M56GhblUzN6JOsQNuasKZ4sVa1kLchclPrenntgdZGkBYzUEpZ/1eyYIgnC+cjrbW8Nl8p7VpiECFuG09Zs6gy0LPqXFZEcq2kZTfvu0Yq+wWG6++Wa+//57vvrqq07HaDQaRo4cybBhw37/BIlTIOwAHP6Gw8c2U91UQ6BfPKYht+LZ+yo+17iT3Wbm9cIq7jpahI9KyTCv9tWTXVN90UQaaMuswVrSgmS2o/RxwbWvP669fJFrT/KnnrcGEqf96fsiCIJwIfm5+1/ew1ZrFgGLcNoievdh7/dL2bjkew4GBFJ1PB+AUVfNIKN/Mrfffjt1dXVUl5dib67A3VVDUGwvVHqv0z+Jzpu6mCt4rDyCjEANt8SGowkOBrUaGZCgc2FOUjhLqxu58kA+laN6A9BibWFx0WK2m7dT5VqF2k1NnGcck0InMVATcOJ5indASH/oYd8gBEEQupv003hDeQ9bQ61n1Ubo0fwjo7n1zf+y8r03MNb9Ms7ETacBtR5qsvFe8xzeuavA+fNYEhmED4bRT7X//xsqKipYvnw5ZWVl9Ptp27xtoFarGThwICNGjEChUHDEaAKgn7sOgOz6bP6y5i80W5oZEDiA/gH9MTvMZFZnsjRvKZdGX8rzQ55HLvspOGmtA5sJDMFn8/YIgiBcECSpfQyLjJ61Ur0IWIQzonHVcelDTwCwc+lCti74jIhQA8hk8N/RoPeHcS9AYC+QK6HmGOz9GD6ZDNd8BXHjTlpuQ0MDH3/8MZ6ensycOROjly83ZZXgZmpldHM1mzZvYVdNAzlJGayqayJN78IXvaIAeGbbM3hrvVkweQH+Ov+OMiVJYnnBcp7Y8gR+rn7cn3F/+8KGxzdA8uVdfq8EQRDORz9PkOhpY1h6Vm2E84YkSWh1OiTJibG5Fba/DTofuHMTDPwLhA+C0H6QcT3curo9KdsXV56yvEOHDiGTybjllltITEwkw9uDhYGuTKGNo2pX6nTumLMOUddq4u/RwXybEYubsr1/NachhylRUzoFK9C+dtGUqPbcKh8c+qB94/GNEDmiPcASBEEQTuB0trewyHtYwCJaWIQz1tbcxIp3XuV45l6CY+MwuKmg0tneoiI/2Z/U7wcHWq0Wm81GbW0tRZs3UrcpDx9FEJcqDUyRHKzSt9CmhDcDDYSH+nY6dljwMD46/BHh7uEMDxmOQq5AkiSqD+3mh/XvM6TMyU1jH0WqK0Km0LQHVoIgCMLJ/RSwIO9ZX+xEan7hd9msFvL37ESl0bJn+WJKjx5GJpcz4JJhDB6ejiz2Eqg8CB+OA+8YGHhX5y6hPR/B8U1w1WeQdOlJz2G1Wvnoo4+orqwkwupNMH5USQ6aNFZaqKFNamWkLRlFaxttN45kfEZ4x7GN5kb+tulvbK/YjrvanRGl7kxYVoZvbeecLAqDDt+H/obHVVciEy0sgiAIJ3V083p+fPs/3P/ZYpTqrl8AUaTmF86anYu/ZueS9unKGp2OsdNGE50QhS6qD3iEtu8U2AtuWQmrn4Zl9wK/ioMD0uDaRRA75pTnUKvVzJxxOT/8+3PKta0UyLMAUKlUREZGMmTIEJw5RlRr69k3byOFYTOI8GkfdOuh9WDu2Lkcqj3E0TULSftoETXJgRTdP55+I67Gw9Ub6/rPadicQ+Xf/w6SE8+rr+6SeyUIgiB0DRGwCCfV1tzE4tl/p6ogr2PbrX+9DRetCk3cCNDoO+3vdDgx65NQzlyC2tkM9QXgdIBneHtSuNOg1Wrp54znWHMDibHxqJotqJwKVE0uaPNlNPu1N1NmuETy+vo8XrmyV8exMpmMNN80vPfNxxIXx/CvFiH7OYdAXT4uffrhMvUOmr79nspnnxMBiyAIwnlGBCzCCepKi/nmhacwNtR3bLvmtul4hEZDQGqnfYuP1rFvZTEV+Y047e2tKu6+LiQMDKD32DBU6tNPPKRRu2KWt5Gi9ufokQ14x4fg6emDqaaEsq+yUMu0JHkM4l9SK/83vPdJy1C4uWGvr8NRX4/S1xccdqg6DEnTcJpMZ34zBEEQhB5BBCxCJ8211cx75F40Lq6ERIZQeryU/iP6ExQVdUKwcmhDKZsW5BAQZWDw5TG4e2uxmh2U5zay98ciCg/VMf3hdJSq0wtajJvL8FL506gx0Vs+AEupCePxOpQyOakew5Ajx+F0MOG6NGL93U5ahvdtt9KyZg35U6ZimH4ZLp42ZEG9sKx9m6alS5G5uBD24Yd/+j4JgiBcqHrqCD8RsAid7Fr6DZLTid7Ti9S0cK66ZjSyxMmg1nXaz+Fwsn1JPsnDghgxK77TINb4AQEkDwti4ew9rPv0GONuTf7f05xUS+MxqtOXkBfUQn51Oj4VYXgYXbChpk6r5bIyOwoZTEoLOunxTqeFCsdKGp9xQ7aoGtvST1A0yoAvkLvr0Y8Yhc9dd6GJivzD90cQBEHoHiJgEToZOONqqo7nUZmXw4+lxew9UMr11yshpXOiNadDwm51YPBzPemMGzdvLQD15cbTOm9l5TKOej7CgerRuO7SEGfciMWu5gBh/KAdSJVOx/o0NW95+J70eIfDzP7M62luPohvwDgMj05DUVdIm0ZHbeVKTPIqUtPGo/ERwYogCMJvsdvbZ1iKtYSEHk2l0VB9vKDjcXXhcbZt8UWzN4+YuDAMvcaBqxcqtYLEIUHsWJqP2Wgjtp8fbt4u2Mx2ynIa2fNDIVq9iqn39f7dczocbRRmPkbqETljW76kTPKmQfJGL2tjJut40jyfpwpu5hvlaO4freebk5RRUbGI5uaD9MlYgMGQDkeWQu+bQaEkOumvbNs+moMH72DUyCzk8q6fpicIgnA+aq6tpizrKGoXVxGwCD2b2sWVjEmXUnRgHzaLBQmJPdsOYrOYOV6azhWebpAwGYDh18Th4qbi4LpS9q0s6lROcLwnk+5KRWfQ/O45rZZ6kg5X02L2Zob9OXoHeOGoLSDEPYBQFw0pbV/xn5a5HLcEsucHB9UJvvj5+XUuw1qDUumGXp8EZfvax9so2v+85XI1KpUHFktFxxoZgiAIwi/Kc46x+9tvyNuzE4D4gUO7uUYnEonjhN+157vFbJz/EZ6BQcREeOLh509i7yRUCWNBrsBudVBd1EJrkwWVRoFPiB69p/a0y5faGpD9K4J/uN7Ah46pjDYc5+kJY4mMjKC5+QC52c/T94e1NEmu9LJ8wE3a3Tz77LOdymhtzWPX7qm461OIUo/AkHI7Mpkai6WCysqlFBx/i8DAy0lMePEs3x1BEITzk+R0UpZ9lB2Lv6Lo4H48g0LoO2U6cQOHoNXpf7+As0QkjhPOmpRR46gtLaYyL4ecgjqad2axZ9cxho/MI7rvQJQhfQkIc8F6vBLJbEZp8kPyCDztbLIyrQHJEMJt9tV81zSQ1R7x7MvJIapoJUqnmdHFXvQF/mG7gQR1zUnL0Oli6N1rHscO3se+5tdgw+vIZEokyYZMpiYk5Fpioh85i3dFEATh/GOsryNnxxbKjh2l5OghTC3N+ISGM+WBx4gbMLjHLXj4a6KFRThjNUXH2Tj/I4oO7ickMpI+tdXYdx1Dslo79lGFh+Fzx50YLp9+eoFL6R74YiZ2UxPbHAmUOn1wV5rpSzYB1POW/TIOhN5IUMUW+vfNYMqUKSeWUbQdySOUFlk9RmM2DqcZrSYAD49+qFQeZ+8GCIIgnIeytmxg5ZzXQSYjIDqW0KRUQpN7EZqU0q2Byul+fouARfhDJEliwwfvsm/Nj8Q3mRk0si8u42cid9VhKy2haflyWn5cge/99+Fz110A1JvrOVp3lBZrCx4aD1J8UnBT/yqfiqkB9n9O7b7vaKktwejUUCgPY6+yL612FTrM9O7dm8mTJ6NSqTpXqLW2PUFc1MhzdxMEQRDOI189+xilWYe5/uU38YuI6u7qdOiSgGXOnDnMmTOHwsJCAJKTk3nmmWeYOHEiAFVVVTz66KOsWrWKxsZGhg8fzltvvUVsbOxvlrto0SKefvpp8vPziY6O5sUXX2T69OmnWy1ABCzdYc6NV9JmNnHbzVMwjLruhHT9x2fOxHzgIN6bfuSlo2+ytngtzl8NelXKlUyLnsZf+/4VvbrzsWazmdzcXGpqanA4HBgMBnSSnebSIkzNzahdXAmIjiWidx+USiUcWQzJl4NY1FAQBOGk6kpLWPKv57AYjWRMmkbGpGloXF27u1pdM4YlJCSEl156iZiYGADmzZvHtGnT2L9/P0lJSVx22WWoVCqWLVuGu7s7r776KmPGjOHo0aPodLqTlrl9+3ZmzpzJ888/z/Tp01myZAlXXXUVW7ZsYcCAAWdSPeEcG5CUzoa9W9mf18zI+H0QOfyk+9277l5q5K08OeBJBgcNxlPrSU1bDRtKNjD34FyKmov4aPxHnbqOtFotqantmXUbKstZ/trLVBfmo9W7off0wmxsYeeSr9B7eTNx+mjChkwRwYogCMJv8A4J5dp/vsaWL+axa+lC9v34LZfcehcJg0/+3t3T/OkuIS8vL/79738zbNgw4uPjOXz4MMnJ7ZlNHQ4Hfn5+vPzyy9x2220nPX7mzJk0Nzfz448/dmybMGECnp6efPnll6ddD9HCcu7Z6ur45I7rUTicXNovBdcJ1yB3dcVaUkLz8u9pWbWKtlsu4yb/5Xw95WsSvRNPKOPzrM95addL/HPoP5kaPfWE551OB/MevgdJcjL2jv8jJDGlI7CpKy1h3X9fp/hYNnfM+QQ3L58uv2ZBEIQLQUt9LRs+/ZCc7ZtJGDKC0bf8BRf9yZc86Wqn+/n9h0fZOBwOFixYQGtrK4MGDcJisQDt34x/plAoUKvVbNmy5ZTlbN++nXHjxnXaNn78eLZt2/ab57dYLDQ3N3f6J5xb67/5nGalnDBfH0oXraHo2us4Pv1yyu67H0tuLoEvzUZx41UAFDYXnrSMqrYqAAJ0J1/RubGygvryUkbfdCehSamdWmG8g4KZPLkPAD+8+cpZvDJBEIQLm5uXD1Pu/xuT7nuE45l7+OzR+2iqruzuav2mM57WfOjQIQYNGoTZbEav17NkyRKSkpKw2WyEh4fz+OOPM3fuXHQ6Ha+++iqVlZVUVFScsrzKykr8/f07bfP396ey8rdv3OzZs3nuuefOtPrCWZS1ZSMAB5obITaE264ahTo4A2VkEqqffqe9JIlx4eN4dNOjrClaw9DgoXhoPKgxtXcJbS7bzPVJ19MvoN9Jz6H38kbt4sKhdasITkxGpfklIJZyVpFZ0B4oZ0y6tEuvVRAE4UIjk8lIHDKC4PhEFjzzKJ88dDfDr7+F9PEnmYXZA5xxl5DVaqW4uJjGxkYWLVrEBx98wMaNG0lKSmLv3r3ceuutHDhwAIVCwZgxY5D/NFXqhx9+OGl5arWaefPmcc0113Rs+/zzz7n11lsxm82nrIfFYulo1YH2JqXQ0FDRJXQO5e/dxdJ//eOXDTIZvoH+BAb7EhIRRGxqPMrYMTiQ+CbnGxbmLCSnIQcJCblMTop3CrMSZzEpchIymQzJKdHWbMVhd+JqUHes8pyzcys/vPUKaq0LEb0y0Ht5Y64rp/jYMZrqGhh0xSwGXzmrm+6CIAjC+c/S1sbmLz7hwOofmP7o34nKOPmXyK7QZYnj1Gp1x6Dbvn37snv3bt544w3mzp1Lnz59yMzMpKmpCavViq+vLwMGDKBv376nLC8gIOCE1pTq6uoTWl3+l0ajQaP5/bTvQteJ7tOfh79ajuR0Ul9eRnluFuXZxyjLPcbB3YcIz6pg7IgyDMnDmZkwk5kJMzHbzRhtRtzV7qgV7Wv6mFqs7Fp+nNw9VVha7QDI5DKCYgz0nRRB3IAh+EVEc3DNj5QeO0JF7jHUMhvhvQeQMnosgTHx3XkbBEEQznsaV1dGXH8LWVs2kL198zkNWE7Xn850K0lSp5YOAIPBAEBubi579uzh+eefP+XxgwYNYvXq1Tz44IMd21atWsXgwYP/bNWEc0Qml+MdEop3SCipo9rHIx3fv4fv3/w3Hxw+yPBpJvoN7QNhA9AqtWiVv3TrmIxWFr60B6vZTvKwYAKiDChVcpqq2zi2o5Jlr2cy5uYk4gcEMPzam9sPyloOsWNBKQJWQRCEP8tmtXBk/Rr2/fgtToeDXmMndXeVTuqMApYnnniCiRMnEhoaSktLCwsWLGDDhg2sWLECgIULF+Lr60tYWBiHDh3i/vvv57LLLus0qPaGG24gODiY2bNnA3D//fczfPhwXn75ZaZNm8ayZctYs2bNbw7UFXq+iN598I+KofjwAeQqDchPvurnkU3lmFttXPPMANy8fglkQhO9SB4WzMePbmHNx0eJ6+ePTC6DqiPgHS2CFUEQhD/J6XBwbOtGdiz+isbKCmL7D2LyfY/gHxXT3VU7qTMKWKqqqrj++uupqKjAYDCQlpbGihUrGDt2LAAVFRU89NBDVFVVERgYyA033MDTTz/dqYzi4uKOcS0AgwcPZsGCBTz11FM8/fTTREdH89VXX4kcLOc7SaK2pH0F54wkHwg5ebeg3epAoZSjcT3xT1Eml6FQ/moim80EDYUdq0ULgiAIf0xtSRHLX3+ZutJiInplMO2vT+EdEtrd1fpNIjW/0CVWvf8Wh9auJCQxhZkzh0DiiTlWAJpq2vj6xd3oPLX0GR+Gf5QBpUrxU5dQBce2VzJgWhR9J0bAkaWQMAUUYs1OQRCEP6qlrpb5jz+Aq8GDCXc/iH9kdLfWR6zWLHSbtqZGDq1d2f7AYUWyWzhVDlqDryuXP9KHzV/nsuaTrE7PuRrUjLgmjuThwVC2FwLTRLAiCILwJ9WXl9LW1EhwfBJqFxcsba3I5QpkcjkyuRy5QnF6i9aeY+LdXzhrbBYzC//xJBV52R3blAoZnDJcaecdrOeyB9NpbbJQX9GKw+ZE76nFO0jXPm7F3Axt9RDcp4uvQBAE4cIXltKLUTfdybav5/PR/Xec8LxCqUTv7YOblw8GP39Ck9OIHzQMpVrdDbX9hegSEs6alvpa3r/rJgC8gkK4+Yah7esLGUI71vmRJImmpibMZjMuLi64u7v/fiR/eDEkTxdrBQmCIJxFppZmKvNzsZracDocSE4nTqcTq8mEsb6WlrpaGirKqDqej4vejRHX30ryiEvOej1El5BwTkmSxPpP3u94nDGkD/glgkcYAHa7na1bt7Jnzx5aWlo69nN3d6dfv34MHjwYheIkM4mKtkHYIBGsCIIgnGUubu5E9v79luuGynK+/scT7Pvx2y4JWE6XCFiEs6Is6wi5O9vXfzL4+ePhqMTR2oTC6UCSyfn666/Jy8sjIyOD2NhYdDodra2t5OTksH79esrLy7nqqqs6t7YYa8BhA/fAbroqQRCEi5ckSZRlHSFz1fcY62rpM2lat9ZHBCzCWRGUkMjgq65l17JvaG1o4JvFVaTUuTJeslKuTyUnJ4eZM2eSmNh5xeb4+HgCAgL4/vvvOXjwIL169Wp/QpKgcBOkzOiGqxEEQbh4WdpaObJhDQfXrqSutBiPgEDG3HY3aWMmdmu9RMAinBVyuYJBM65h0IxrcDodLHrxacpyc7ENicTp6gRAqTz5n9vP2+12+y8bC9ZD1Kgur7cgCILwi7JjR/n21X9iNhqJ7tufUTfeQVhKGrJf5U/rLiJgEc46uVxBUHwSOxYtoLjGTmSYk4iICL7++msGDhxITExMpy6hnTt3EhUVRUZGRnsBjSWg0oGrV/deiCAIwkXmwOofsLS1cuub7+Pu49fd1elEBCxCl2iprQGgoqicqKhCZs2axfr169m1axebN2/u2E+j0TBgwABGjhzZPn7F6YTS3ZByeXdVXRAE4aIVP3gYWVs3snLOG1z2yNOotNrfP+gcEdOahS7hsNvZsXgBOxYtIDIlhVEjk/FMHoLDEE5NTQ0mkwlXV1d8fHw6zw7KXgERQ0Gj777KC4IgXICaqqtorqlCqdGgUmtQabWoNFpc3A2dJjwUHz7I0n8/T3hqb6b99ckur5eY1ix0K4VSyZCrriMgOo51H7/HJ3OOMXh8HQNG9icg/BQrcdfmgVuACFYEQRBOg91mQ3I4UGo0J81nZayvoyI3m+IjByk6uI+GivKTlqPSaPEKDsErKASDfyBanR6fkDDydm/Hajah1rp09aWcFhGwCKdNkiRaLHZqWizUtlhoszqw2J1Y7O3/K2QyNCo5GqUCjVKOh6uKuqJiNDo9zTXV7N++jwED409euMMG1Uch6dJze1GCIAjnCUmSqMrP5ejm9ZQdO0ptSRFOhx25QoHGVYdGp0PjqsfpsNPW1EhrYwMA7r7+RPRKZ9ism/AOCcdhs2KzWLBZzFjNJhorK6gvK6G+rJSSIwcxt7WiUCqJGzgUlabndAmJgEU4gcXu4Eh5M9mVLeRXG8mvMVJQ20pFkxmr3Xna5cgkJ3cWzUcltc/+KXe4MHdLMdbSXKL99KQGGwjxdGn/ZpCzEuLGd9UlCYIgnJeMDfWU52RRnp3F8cy91JeVoPf0IqJ3H1JHj0Oj12NpbcXSasTcamxfF0ihxMXNHd/wCAJj43Hz8unuyzgrRMAi0Ga1szWvju35dewrbuBoeTNWhxO5DMK8XIn21TMuyZ8gDxd83TT46Nv/uWmVaJRy1Eo5aoUcp0RHa4vZ5qCxzUZZaQyFG77HuG8DLsERFBtlLN9ynCaTDQBfNw1T/OpIDPEizdNCvL+6Ry66JQiCcC44nQ5qCo9TdCiTvN3bqchtX5tN7+VNeGo6I2+4jfC03sjlJ8kMfoETActFqtZo4fuDFaw9Vs2OgjqsdifBHi70Cffkst5BZIR7Eh/ghkZ5Zi8KtVKO208/N7Q28cNxM5aiBmKB2qIiSgypPDkpgeFxfhwua+JgYQXOvEM8s80d88bNBHu4MDLel/HJAQyJ8UEhF8GLIAinp6W+ltKsIzSUlyJJ4KLX4+4XgLuPL24+vmhcXHHYbTgdDtqamyjPzqKpupK25maaqytpqqnGbGzBbrUA7SkaXA0e6Dw88QwMJjgxmaiMfmh1Z3ecXVtzE3m7tpO/dydlx45iaWtFqVIT0TuDCXc/SHhaOjoPz4v+y5yYJXQRsdgdrMuq5pu9pWzIqUEug/6RXoyK92N0gh9RvmfvRbhkXykPLzxAjKKZMYWLUdhM1IdmsFmXSrHFFT9XC1fGORkbFUiaSwXWiEvYWWFn/bFq1h2rpri+DX93DZelB3NlnxBi/Nx+/6SCIFyUSrMOs+aDd6krLQZo/3BXKDA1N+Gw2X73eJ/QcAz+Abj7+uHq7tGxKrHDbsfU3IixoYHa4kLqSotxNXgw8vpbSRg68k8FEDazmaytG8nevpmSIwdBgpDEZMJSehGSlEJATDxKleoPl38+Od3PbxGwXASaTDa+2FnMx1uPU91ioVeIgRl9QpiaFoSn7uwuF+502MjZ9x43L3EjRplFesFBJJWM+rgU8j3iadHqaLJrqMqXY4rwQBuuYrKpgf/0NqC0GUGtR7K1UZW1leMlZeyvlbHdGoU8agR3jIxjcLT3Rf8tQxCEdpLTydqP53Jo7UoCY+PImDSNkIRkXA0eHc+3NjbQUldLc20NdqsFuULx0xgPN/RePhj8/FGcIgv3/2qpq2XDZx+Ss30zySPHMPb2e0/72F+XsX/lcg6tWYGlrY3Q5BTiBg4ltv/gjnpfbETAItBksjFnQz7zdxRhtTu5PCOYW4ZGEuffBa0VzeU41v+D8mOLWanWcFStxudgEGqjB8bIXkhKJValApnDhlqSY5Xk5BCOPD6aTYF6rrY08HovL/j6Rmg4Dhp30PkimZuQtdVSKg/mDtM9yIPSeGhsHKPi/UTgIggXuQ2ffcje5UtIHjGGsXfcg0J5blokjmxcy6q5b+EfFc3Qq28kNDn1N9+P7FYrpUcPcWDNCvL37kSl0ZI6ehzpE6Zi8PM/J3XuyUTAchGzOZx8uauY19fkYrI6uGlIBDcPjsDPvYump9UfR/pgLF+rbfzb3YuhOf1JLvSnmUPY9G5oFUH4luXj2ViCyUfFu2EzCTDIiFXUcIk1hZmXROGUy6nccwW4B8OU1yAoHWpzob4AGo4j7fsMZ10Bt/h+wcZCE0NjfHhyciKJgRf371oQLmYf3HcbcoWSW15775yfu+zYUdZ+/B41hQXoPDwJiInDLyIaFzc3nA4HZmMLbU1NVBfmU114HKfDjk9oOL3GTiJp+CjULq7nvM49lQhYLlKHy5r468IDZFe1cGWfEB4eF49/FwUqVrOJltpajN89R37BPuapPelV1hus9UiOGuxaPQ43D3wa20CmpdVWi1OyorBDtdYDdWwMAHOHX4okk1O5cQTctR38kzqfyGGH7e/AmmeQUmawNvFF/rkim+O1rdw6JJK/jo9Hq7r4RswLwsXu7ZtnEpyQxOT7HumWAEByOik9doTCA/uozM+lpug4VlMbcoUSrU6P1s0Nn9BwAmPjCYpLxC8iSrQMn4TIdHuRsTuczNmQzxtrc4nzd+O7e4eSEmw46+cxNtSz9/ulFB3YR21JMZL0c16WIFLkCmSyarwaa2j19MIRnIpdqWCkPgNXNDgliWpzPQVlCzGr7ZiBGr0BmUzOx1FusEkBez6CCbNB8aumXckJtTkAyDJuZIz9ECMnO1hYqOPvW4rYkFPDq1f1Ii3E46xfryAIPdclt93Nqrlv8sVTf+XKp19E5+F5Ts8vk8sJTUolNCn1nJ73YiVaWC4AjW1W7v58HzsK6rhnVAz/NzoWtfLsLwUuSRIfP3gnbU1NxCVF4Wbw5+ABTzLUleg8XmNxw2u4S3mM3rsTt8EPU60sZZ06GxsyWjXNRDWkY1BKNMmbKVPU47RZyZ5yLX9NjqSfQQe7/gs//g30ARA9GnQ+0FoD+evAWA2TX4G+t/xSoepjlBUeY+7mQpbVhfLE9H7M7Bd21q9bEISeq66shG+efxKvkDCufOqF7q6O8AeIFpaLRH6NkVs/2d0+E+j2gQyM8j7r57CZzexb8R1FB/fTUFHOFXdcR3j/kSx8uwRDoETMhPHYF2sJdsmiuXEw1vQomq21HMz7GLV3LY2eSbhaYqnQlFNjN+Er82WoPRFNhsQ/Bqf8cqL+t0P4YNj7SfuKzaYGcPGExEuhz00ndhX5JRDsl8DT6VbCF3zJyiXzaMuP5YYrr+y8oKIgCBcs7+BQUi8ZT+bK77u7KkIXEwHLeexYZTPXvL8DH72GZfcMJcy7a/pwD65dwZYv5+EdHMy4qUMJi40EtwDqy4/Rd3IEnn0DaJVdzZjleexQVyMpQ3DSRpNKj6zZF39zDHK5HndnCUpfJyOlcQAEzxh64sn8k2HSv8+ofiqVmluvvxHltkLe+G4Hlpa53D4sEoV/InhGnIU7IAhCT2Zqab5opwRfTETAcp7KqzZy3Qc7CTS48OXtAzG4dt10PslkAiDAIcf/WBlNLqXotJGEp/qwf1UxBl9Xonr7EpLmy9TjTVRuK0dxrJ4xIfdR7Mymvi0Xu60KT7cg4lz6IjnB99aUsz747MbBEfi6abj3i33kewTxskcb8uwVIFdC2ECxCrQgXKCsJhMaV113V0PoYiJgOQ/VGi1c/+FOvHRq5t82oMuCFcnppOhf/2Lj/i0AhB44RLNcjW3xOlAoSLnpNuxRw1n538OotArcvV2w2xw01Zjw1yro6+dO76Y00KR1lKkKcsNjYgSaKI8zrs9Ro4lPymrZ3dRKg82Bu1JBhrsrNwR5k2Fof7OalBrIq1f15sGvM/HWR/PYxAntK0EX72gfD5Ny+Vm5N4Ig9Bzuvn4UHcrs7moIXUwELOcZh1PigQWZ2BxOPr1lAF5nOVPtr+W89QbHVnwH/p5odXpar8kgadRwnP79qJ8/n9q33mbw4wYGPHE5JVn1GOvNyFVyXH1d2NDczHu5NTTRShByfPQaouO8uGFsLBrPM++6+rSslsdySgnUqLjE2x1ftZI6m4ON9c0sqKznyahA/i+8PQHTZenBVDWbmf3jMfqEezI2yR8ih0H2irN9iwRB6AG8Q8Jobain6FAm4am9u7s6QhcRs4TOM2+vy+XV1Tl8dusAhsR03ZLhbc1NvHf7tfzvH8dN916D95CrQa4gKyERgMRjWR3P17RYmDFnG7VGC1PTgkgNMaCUy8itNvLtgXLMVgdf3D6Q1JDTn3JdY7WRse0o1wR68WJsCKpfLYjolCReLKjgneJqvu4VzXCv9iy+kiRxx2d72VlQx8oHhxPoKoPibe2zjwRBuKA4HQ6WvPwcpceOMOOx5whJSvn9g4Qe43Q/v8/+3Fehy5Q2tPHWujzuGB7dpcFKY2UFm7/4BAkIN5oZmJHAwJH9mXHjNLyjk0GuwJKbC4AqKKjTsXM35tNitrHygeG8fEUa1w0M5+r+YTw9JYl1D4+gxWJn6ttbzqg+JWYrNkniqgCvTsEKgFwm41I/DwAWVzV0bJfJZLxyRS/USjkv/3gMSnZA6MAzvxmCIPR4coWCSx9+gqDYBBa99HdKjx7u7ioJXUAELOeR2T8ew+Ci4t7RMV12Dsnp5MtnHuHw+tUkpfciwWbH67MVhGaW4ZrVQvWX6yi+804KLpuOJjaGiIVfdzq+xmgh0OBCiKfLCWW7af/YWJtkvQuhWjUPHitma0MLzp8aBSVJYm9TK48cK8FNIecfscGdjjO4qnhkfDxLM8vJK68BtUiFLQgXKpVGy2V/exrf8Eg2zv+wu6sjdAERsJwnCmqMfH+wgofHxaHXnP2hR5LTyeYv5/HeX26gramR0KQUJl46gKRvV+D/2ONgs9P8ww80//AD2Oz4P/E4EQsXovTunPflij4hHK1o5i/z97K/uAGbw4nTKZFXbeS5744A8OSkxDOqm0Yu58teUWjlcmZk5hO3+RADdxwlfsshJu/LxeR0sjg9BnfliblXrugTSpq/mqWH6v74zREE4byg0miJGzCkPQu30/n7BwjnlTP65JszZw5z5syhsLAQgOTkZJ555hkmTpwIgNFo5LHHHmPp0qXU1dURERHBfffdx1133XXKMj/55BNuvvnmE7abTCa02i5arO889OWuYjxcVUzrHfz7O/8BzbU17Fq6EIDLrxxGWFoGRA5DrtLidd21eF137WmVMyzWlznXZvDcd0eZ/u42ZDKQAU4J9Bolj09M4LZhkWdcvxhXLSv7xrG7qZXdTa3U2xx4qNpnCQ3y0KM4xRRphVzGA/EN3L3Zn6sb2gj5AwN+BUE4P9jMZkqOHESj04FYs+eCc0YBS0hICC+99BIxMe1dEvPmzWPatGns37+f5ORkHnzwQdavX8/8+fOJiIhg1apV3H333QQFBTFt2rRTluvu7k52dnanbSJY+YXDKbFoXxlXZIR02SJ/Bj9/pj70ON+/8W+ySmwER9ahcFhAdea/h4mpgYxN8md/SSP51UYckkSIpyv9I7xwUf/x+stlMgZ46BngcWb5VAaH6VCqlSzeV8Z9l8T+4fMLgtDzOOx2KvKyOb5/D0c2rsXc0syUBx4TiwxegM4oYJk6dWqnxy+++CJz5sxhx44dJCcns337dm688UZGjhwJwB133MHcuXPZs2fPbwYsMpmMgICAM6/9RSK7soX6ViuXJPp32Tkcdjs+oRGMu/P/WPneG+Ts2c2YK3OIHzQVlX/6GZenVMjpF+FFvwivLqjtGbCZ0Lq4MjDKje35dSJgEYQLQEt9LQV7d1F4YB/Fhw9iNbXh4uZOdN+BDLz8Kgx+4vPkQvSHB0M4HA4WLlxIa2srgwYNAmDo0KF8++233HLLLQQFBbFhwwZycnJ44403frMso9FIeHg4DoeD3r178/zzz5Oe/tsfkhaLBYvF0vG4ubn5j15Kj7e7sB6VQkZ6mEeXlN9cW8N3r71EZV42ap0ThdqJ3azkcPG3VLl/inflCOJin8LV9cy7crpd8Q4IG8SAyHL+szobq93ZJQtDCoJwbmRt2cCquW/hsNsIikug39TLieiVgV9UNHK5WEPsQnbGAcuhQ4cYNGgQZrMZvV7PkiVLSEpqX5TuzTff5PbbbyckJASlUolcLueDDz5g6NCTrBnzk4SEBD755BNSU1Npbm7mjTfeYMiQIRw4cIDY2FN/G549ezbPPffcmVb/vJRXbSTaV3/WuoMkSaK+rJSCfbso2LebsuyjaPUqQodXIG8JQ+XwJSougohecTTr7BQVv8/uPVcwoP93aLVBv3+CnsRhBZWWpCB3zDYn5Y0mInxECm9BOB/VlhSxau5bRPcdwJjb7karE8ttXEzOOGCJj48nMzOTxsZGFi1axI033sjGjRtJSkrizTffZMeOHXz77beEh4ezadMm7r77bgIDAxkzZsxJyxs4cCADB/6SH2PIkCFkZGTw1ltv8eabb56yHo8//jgPPfRQx+Pm5mZCQ0PP9HLOC/Vt1j+c0bYiN5tdyxZSW1KE3WJBqdZgaWvF1NKMUqUmLC6aS6aMoNb7U0LCLyU+8flOx7sBfn4T2bQ5g127pzF82O6zcEXniLUNlO1jcDx+Wr6gstksAhZBOM9IkkT+np2snPM67j6+jP/Lfag0YpzjxeaMAxa1Wt0x6LZv377s3r2bN954g9dff50nnniCJUuWMHnyZADS0tLIzMzklVdeOWXA8r/kcjn9+vUj96fEZKei0WjQaDRnWv3zUrPJhsHlzHOYHFy7gjX/fRfv4CCiowNQqdXYbXbUGjX+gT6ERoagCkkDj1A2b1mIXTIhSdIJg9UcjlYA1Grvk52m5yrZAWGDAZDRfk1L95cxMOo8uw5BuAhZTW2U52ZTevQwBft3U1NYQFRGPybe87AIVi5SfzqhhyRJWCwWbDYbNpsNubzz+ACFQoHzDObDS5JEZmYmqampf7ZqFwy9RonRYj/j4zZ+9iGS5ESjUWM2WYhNjCS4z0jwijph36ioBzl27AnM5nICAy7HxSUMp9NMU9M+Sss+R6sJIiP987NwNeeQ3doxy+nnGGx0gl83VkgQBKfTQVVBHpV5ObTU1WI1tWE1mbBbrZhbjbQ1NdLW1IjJ2AKShNbNnYi0dIbOvJ7I9L5i9s9F7IwClieeeIKJEycSGhpKS0sLCxYsYMOGDaxYsQJ3d3dGjBjBI488gouLC+Hh4WzcuJFPP/2UV199taOMG264geDgYGbPng3Ac889x8CBA4mNjaW5uZk333yTzMxM3nnnnbN7pecxT52a4vq2Mz5u9M1/4fj+PTTXVnNk31Hyc0u5JyzwpAFLcNBMNGo/CgvfIevYox3bFQo9/v5TiIp68PxqYbG2geqXbLtNJhsAMX6iz1sQuoOppZnti74ke9tm2poaUSiV6L190LjoULu6oFRrcDV44BMWjqu7B3ovbwJj4vEKCkYmFwPlhTMMWKqqqrj++uupqKjAYDCQlpbGihUrGDt2LAALFizg8ccf59prr6W+vp7w8HBefPFF/vKXv3SUUVxc3KkVprGxkTvuuIPKykoMBgPp6els2rSJ/v37n6VLPP+Fe7myZF8ZNocTleL0X7jJIy4hadgo5j1yL2oXVwYO6w0at1Pu7+MzCh+fUdjtLVgs1cjlGrTaQGSy83DkfckOCB/S8TC3qgWlXEag4cQlAwRB6FrH9+9hxZzXcdrtpIweR0y/QfhHxaBU/bHlOoSLk1it+Tywt6iBGXO2sfSeIfQO9TijYxsrK/jw/tuZftdtRKX1Aq/zcGryH5GzEuLGdzz8vy/3U1LfxtJ7hvzGQYIgnG2FB/ax6J/PENErg/F3PYDes5tzMwk9jlit+QKSGmzAVa1gY3bNGR3nsNvZt+JbAHxcbeAR3hXV63msrZ26g2wOJ9vyahkQJd4oBeFcamtqZNE/n8Hg58/ljz8nghXhTxEBy3lArZQzJS2Qr/eU4HCeXoNYQ0UZC/7+NzJXfs/IKWNwD4yAi6UfuHgHhP4yVX710SrqWq1MT++adZgEQTiRJEms/m/7WMSr/j5bDJYV/rSL5BPs/HftgHDKGk2szar6zf2cTgf7fljGp3+7D3NzE9fcNIk+l14Bof3OUU17AKcdlO15ayRJYt62QvqGe5IQcGF1FQpCT5a9bRN5u7dz6UNP4O4jZucJf96fntYsnBtpIQYGRnnxr5XZjErw6zT4trGygoaKMhqrKjiycR1VBbn0HjaI4cOTUaVMhYspXbXFCKpfVmRen13NzuP1vH99n26slCBcfHJ2bCU4IZnYAYO7uyrCBUIELOcJmUzG01OSmPLWFj7bXsQtQyOpLixgy4JPOb5/DwByhYLgqHBm3nIZIelDwS+hm2vdDUp2QsQwAKx2J88vz2JIjDdjk7pu4UhBEDqTnE5qSwoJik/q7qoIFxARsJxHkoMMXDsgjFdWZKHf9Q0lOzfiGRDIpMtHERwVhd7DDblfAhhCuruq3edX3UH//CGL0oY23ruuj+g/F4Rz6Ojm9TRUlDPuL/d3d1WEC4gIWM4zT05Konr7akp2bmTY9Gn06R2KIm7sxdXtcyqWFlC3rxO0/GA5n2wr5B/TkokPOHXuGUEQzq66shLWf/I+8YOGEZKQ3N3VES4gImA5z7RWlRJftJ4CzwTsdVbSoseiEMFKu5JdEDmcXcfreWThQab2CuL6gRfJVG5B6AEaqypZ+vI/0Ht5M/aOe7u7OsIFRgQsPVRLfS27v11EQ3kZ4am96TNlOjKZjPKcYyBJ/GVGb67Y6E3uF/t499o+qJViwhdOO/vLjNz88S56h3rw7yvSRFeQIJwjx7ZtYvX7b+Pi5sb0R59B4ypWRRfOLhGwdBOnw0Huru1U5udgrK9D5+lF+vgpGPz8cTodfPef2TRWVSCTyyk8sI/Q5DT8o2Lwi2hfB8hdoeajmdHcvCCfW+ft5u1ZGX9oRecLhqWF/VVWblizi8RAdz68qS9alWh5EoSuZLdaKTlykANrVpC/Zwdxg4Yx7o57RbAidAkRsHST7d98wY7FX+Hu7Y1K68KxrRupLy1mwj0PsXPxV1TkZXP1sy+x4bMP0er0eIeEIUkSx7ZuQK5QYnBxEp4Uxcc3e3HX/L1c/u5WPryxHxE+F98bhSRJrFrxLf+3Q8/QeC/evCYdV7X40xaEU7HbbNQWHae5thpjQz1NVZU0VlUA4B0aTvygYfhHRp/0WGN9HQX791CwbzdFh/Zjt1jwDglj0r0PkzB0pGjVFLqMWEvoHCvPOcaaD9+lprCA9LHjGKnbxWd73aktKSZu4FAKD+zDYbcxcMwwBkbaWb7PQUHmPiJ7ZVBfUUZtcSEjLptC32F9IaQvAAU1Rm6dt4dao4XnLk1menrwRfOmUd9q5ellh2k7/AMxQy7nsYmJKOQXx7ULwh+x9/tlbP16PjazCQCFSoW7jy+ege2ZoAv27QZgwPSZZEy6FICyrCOUHD1EydFD1BYXIpPJCYpPIDK9H9EZ/fAODb9o3nOEs+90P79FwNKFJEmiqboKdx9f5Ir27onNX3zCrmXfEBAZxczRXjh9Enn/7cVYWltBJiNtYF+GDE3CNW4I6HyxHFzGto2Z1NbUo9O5kJKeQFjGEPDvnN+gyWTj78sOszSznAnJAbwwPQUfvaY7LvucWXO0iscXHSDIWcbfhnoz5JJLu7tKgtCjHVq/ilXvvUnv8VNIGj4Kz4BgNDpdp2DD3Grku1dnU3z4QKdjDf4BhCSmEJ7Si4jefXBx6xnvs8L5TwQsPcDRzev58e3/AHD1c//COzSM7157ieJDmQDc87cb0caPpCVrExWl1Xj7eeKdOODEFZUlCSQnyOTwO99ifjhUwZNLDmF3SNwzOoabBkdcOGM5TI1QnUVZdQ0LdpdwsLSJtBADN00agXd48u/eG0G42M1//AH0Xt5c9sjTv7tvc201Fbk5OB12ghOScffxPQc1FC5Gp/v5LTr6u1BUej+0ejfMxhYW/P1v6Dw8aW1sYPDk8USFeaANTwe9L279ZuD2W0v9yGQgO72gY1JqIAOjvHljTQ7/XpnN/B1FPDAmjkt7BZ0/M4kcdqjLg6bSTpurrGrmZGn4bJ+SYI8kHrsmgYkpAaIpWhBOg91qpaWulvC09NPa393HT6wBJPQoImDpQhpXV9x921/wLno9DZUVRKWmMKhfBCRO7bLzeunUPDcthRsGR/Dyj8f468IDvLIym1uHRnJ1/1DctD1kNpEkgbEaao6Bw/bLdrkCvGMg5hKQyThc1sTcTQV8f7Acg4uZxycmcP2gcDTKC6TlSBC6WENlOSveeQ1rWxuJQ0d2d3UE4Q8RXUJdqKW+lvfvuolJN11LYqShPWW8ezD4JpzT7ovcqhbe31TA0swylHI5E1MCmNEnhEFR3sjP1QBVmwmqs6CtvvN2vR/4xIFK22lzfauVbzPLWLSvjENlTYR5uXL7sEiu6BOKi1oEKoLweyRJojw7iwOrfyB7+2Z0Hl5MffAxAmPju7tqgtCJGMPSA9gsZt69/Vqi0nozYXQsql5XgKL7GrUqm8ws2lfKN3tLOV7bSpBBy5gkf0Yl+DEoyvvsjHVxOqGpGOry28fd8FNApNS0B2r6U/eDlza0sf5YNeuOVbMlrxZJglEJflzRJ4RLEvxQKs6TLi2h29isFpqrq9Hq9bgaPC7a7sL8vTvZ8uWn1JYU4eEfSK9xk+g1bhIq9YU9EF84P4mApYfI3r6FH9/5D+7evgwcnEBMcjzqmKGgNXRbnSRJYl9xI99mlrH2WDWlDSa0KjkDIr3JCPMkI9yDXqEeuJ9u11HVEWgub/9ZJgOPcPCK+s31jSRJorCujX1FDewvaWDX8Xpyqowo5TL6RXgxLtmfS3sF4X2Bz3QSzg6n08HGzz7i4JoV2K0WAPTePvQeO4leYyeh1eu7uYbnhrnVyNoP53Bs60bC09LpO/VywlN6IZOLYF/ouUTA0oPUlZaw7uM5FB8+iFKtJiYphuTUaMKTU5EplZgbqtHoPZCFDwDFuR1fIkkSedVG1h2rZntBHfuLG2ky2ZDJINzLlShfPdG+OqJ89QR7uOCj1+DrpsFLp/4l30nuaogde0LZJquDWqOF6hYLNS1mCuvaKKgxkl/TSl61kSZT+7iVGD89fcI8GRHvy9BYn9MPlAThJ7k7t/Htq/9k4IxrCE/pRVtLE4WZezm6eT1yuYLEYSOJGzCUkKQUFMoLc+hec0013/zzGdoaGxh9850kDht10bYwCecXEbD0QE3VVRzbupGsLRuoKy0mODYOhUpF8dEjuHn7cOXM4XgOvBI03be6sNMpUVDbyr7iBnIqW8ivMVJQ20pJfRvOX/2lyGXgolKgUSkYLj/AfnUfHE4Ji92J1e7EbHNgsTs7la3XKIny1RHloyPaV09qiIH0UE8MriJAEf6c7O2bWf76y0x/7O+Ep/ZGoWz/m2ptbCBz1fcc2biWltoatDo9URn9iB0whKiMfh35kc53Drudzx69D7vVwown/tGRBE4QzgciYOnBJEni0NqVrP7v2522T77tFhJS4yAgpZtqdmoWu4OaFgs1LRZqjVZqWiy0We1Y7E4CaraS49YfpVyGRqlArZSjVsjx1Knw1WvxddPgo1fjpVOLb3xCl7CZzSx88Skqco4hk8nR6HRodXp0np54BAQRkpCMd0gY+Xt3kbd7O3Wlxbh5+zL6lr8Q03dAd1f/T8vdvZ1vX3mR615645Qp9QWhpxIBSw9nNhp559arOx4PnzicvgPTkMWPP/8SoOWtgZgx3V0L4SLndDqoys+jpug45lYjZmMLxoZ6akuKqCksoN+0Kxg+6yYAqgsL2PrVZxTs202vsZMYddMd53VX0c4lX7Pn+6Xc88EX3V0VQThjInFcDyJJElmb11Ny9BCSUyIwNp68PTsAULu4MvOmKfhljAX3wG6uqSD0LE6ng6bqKuwWC1q9G3pPr5MOIK0tKaI85xgKpRKtXo+btw9KjQaZTEZZdhY1hQWdAhK/iCgu+9szHFyzgrUfzkHv6cXAGVefUO75wmG3o7hAurcE4VREwHIOZG1ez4/vvIpfWDgyuZwjG9eg0em47NopRCVEIwvr362zhgShp5EkicyVy9m17BuM9XUd210NHqSMGkvaJRMw+PnjsNv58Z1Xyd626ZRlKZRKeo2dxIDLruq0XSaTkTRiNJs+/xiLqa3LruVcMPj509rYgKWtDY2ra3dXRxC6hAhYzjJjQz0lhw/QUFne/q1HqeLwhtV4BARy/VUZ4BZAXW0Lao0St5RLwMWzu6ssCD1Owb5drPt4LskjLiFhyAg0rjrampsoPLCPA6t+YO/yJWRMmobDZiNn+xYm3P0gcYOGIpfLsZktWM0m7FYrktOJm48Paq3LSc9zeN0qbGYzaWMmnOMrPLsCYuIAKM/JIrJ3n26ujSB0DRGwnEX15WV8+sg9OOx2XN3cUapUtLY047DZ8A2L4NOv9pLUO4G+QzMgYmh3V1cQeqyfZ/koNVqQyfAIDCIwNp7oPv0ZPusmdn+3mN3fLsJuszJoxtUkj7jkl2P1qtPOu3Jk4zpi+w/CMyCoS67jXPEKCkHt4kpN0XERsAgXLBGwnEXWtlYcdjtBkTEoWttotJlx2NpzjTTX1mBpa2VbdTWpKSGIdGiCcGrhaekMm3UTu5d9w4FV3wPgGxbBsFk3EZnel8FXzqLv1Ok47HZc9H88DYDNbELn6XW2qt1tWupqsZpN6DxEi61w4RIBy1kUEBPHoCtmkb19M24B/sSHR+IXEYV/VCwqrYYvnngIlUaLEnt3V/VPaahspfhIPS11ZuQKGZ4KiAiw4qJXd3fVhAuETCaj/7Qr6Df1choqK6gqyGXHogWs+2Qut6b3BThlN8+ZCIyNp2D/bkbdePt5mw3WZrXw33tuRqt3I7rP+T9FWxBORQQsZ9ngK2cx+MpZALQ1N1GZl8PBNT9wdNN65EolV84ajSJhfDfX8o+xWR1smH+MnF1VKFRy3L21OOxOmmtlKNZuY9Bl0fS6JLS7qylcQGRyOR4BAVTm59DW1EhURr+zWn7K6HEc2biWzNU/0Hvc5PMyT9CxrRsBmPx/f71oliAQLk4iYPmTynOOsWvZNzRWluN0OAAJySlht9sw1tUC4OruTlJqFOn9k3FLGXvezgja+k0eBZk1jLo+gfj+AShU7d9ITQfXsOdYEFsW5qL30hCd7tfNNRXOFyZjC6bmJmwWC3aLBZvVgt1qxWYx01pfR0NFOccP7KWltoaYfgMZedMdZ/X8wfFJpF4ynnUfvcfB1T8SN3Ao4Wm9CYiOO2+y4B7ft4fAuAQixNgV4QJ3RgHLnDlzmDNnDoWFhQAkJyfzzDPPMHHiRACMRiOPPfYYS5cupa6ujoiICO677z7uuuuu3yx30aJFPP300+Tn5xMdHc2LL77I9OnT/9gVnWNrPnyXmsICXGKC0VlVWE0mAqOj8aAO79F9CQzxxxAciSw4A87TJuefFR6sJXVECElDOg9QdHGFYVfFcXBdKSvmHuae90Z3Uw2F84UkSfz49n84tnUTkuQ86T4qjRaDnz/RffqTPGIMAdGxZ70eMpmMcXf8H4lDR5K58nv2fr+UbQs/ByAkMYUJdz+AwS/grJ/3bJGcTkqOHCR94tTuroogdLkzClhCQkJ46aWXiImJAWDevHlMmzaN/fv3k5yczIMPPsj69euZP38+ERERrFq1irvvvpugoCCmTZt20jK3b9/OzJkzef7555k+fTpLlizhqquuYsuWLQwY0PP7Y6PS+1FTdBxTXhmmn7Y111Rx2/9diWHwdb+5YvH5xjPAleMHa0kdFYKbl7bTcyVH6wGI6SNaV4TfV5Z9lKwtGxh0xSzCUtLax3apNag0GpRqNUq1GpXW5Zx10YQmpRKalIrT4aAyP5dNn39Madb/t3fnYU2e6f7AvwnZCBBICFsImyA7UcQNoeKCWq3VVnu002m1o7WjjtXL+dlfT3s67Th26nRqO7aznNba1lqtVm1dOi4FrUpRVERBEARRkH3fl+zP+cOaMcouSIj357r4wzdvnjzvzY258+ZZsvDl2uXwGTEKviNGwSciElIPhUV9bXQj7QLUrS3wClMNdlcIGXAPvDS/TCbD+++/j6VLlyI8PBwLFy7EH/7wB9PjUVFRmDVrFjZs2NDh8xcuXIimpiYcPXrUdOzxxx+HVCrFrl27etyPwVyav7m2BgWXL5r2BlKNVWHytLHgRcwdesvsd6Ghsg0HN19Ge7MOXqEyOLmJYdQbUXmtGJXlHHiFSDFrpQo8vvUUaWRg3Nms8Hdf7IbIzjLHXeg0amQkHMHNS6kozc2G0WCAg7MLvMNV8AwJg72TDHqtFnXlpagpKkRrQz30Wg0MOj3Ejo6QuLhC4uIGFx9feIWpwBf039zA2pIipCccRkbiUfiqIvHUa2+Ba0UfjsijZcCX5jcYDNi7dy9aW1sRHR0NAIiNjcWhQ4ewZMkSKBQKnDp1Cnl5efjoo486bSclJQVr1641OzZjxgxs3ry5y9fXaDTQaDSmfzc1NfX1Uh6Yg7McjdWVAIDlaxfCLuq/AL6om2cNPU5uYvzqrXG4mlyGoqu1KEivBteGA5kDMOKlMASMcgWHaz0F2lDV3tKMkpws6NVquPj4wdnLx6LuCgBAS10teHwB+ELL/TvhC0UY/eQ8jH5yHrTtbSjJuYqirAwUZWXg6ukTpvMEtmLIvX1vbwcgEMCGx0NbYwMq8q8jN+VnaFpbwRMK4RUaAf+ocRgxbWaHr6dTq1FfUYammmq01NWitaEOrQ31aG9qAmMMRr0OmrY2tDU2oKGyHCIHCWIWvoAxT86jYoU8EnpdsGRmZiI6OhpqtRr29vbYv38/QkNDAQAff/wxli1bBqVSCR6PBy6Xi61btyI2tvNF0ioqKuDm5mZ2zM3NDRUVFV32Y+PGjVi/fn1vuz9gAsfH4uIP+3HxWgvi5GeAgKndP2kIEtjyEDnNG5HTvP9zMP84EODW+ZPIgGqpq0VJTtYvP1dRW1Jk9ridkxTeESMx+cWXH2jNkv6k12rBEwqHzIaDAlsxho0aY5qlpNOooW5pAU8ggMjeodOCkDGGurIS3Ey7gKSdX6Lg8kW01NUgZuELpnMaqyqR+Nk/UHw1E0bD7SUPuDY2EDs6wc5JCluJI7hcLmz4fEh/WUDPMygUfqPGgMfnD/zFE2Ihev2/RVBQENLT09HQ0IDvvvsOixcvxunTpxEaGoqPP/4Y586dw6FDh+Dj44OkpCSsXLkSHh4eiI/vfDffe//YGWPdfiJ8/fXX8fvf/97076amJnh5Dd6UWjc/f8Q++wKSvtmGYT4yeLmUAo6eg9afAaHXQH/9JIpvlqC9vR0urs6QB4TCsj67PzpqS4txdu83yEv5GQAgVSihDAnDmDnz4RUWAZGdPcqv5yHvXDKunDiGhspy/OpP71vE3RZbBwnUrS1gRuOQXP+ELxT16O4Qh8OBs6cXnD29EDlzDj56/mlcOLgPfpGjoQgMAQAk796O6lsFmLRoKdyGDYfExRV2jk5DMi6EDKReFywCgcA06Hb06NFITU3FRx99hM2bN+ONN97A/v378cQTTwAAVCoV0tPTsWnTpk4LFnd39/vuplRVVd131+VeQqEQQqFlrRcbPmU6Ug99h9wbNfBS5lhXwVJ+BdfOJuF04gW01NeZDvuGheHp+bGg/1ofnpb6OiTv2o7spJ9gL3NG/Eu/Q8CY8R2ucuqjGgkf1Uj4jhiFQx++i8yfEqCaOvjrAIns7QHGoG5rtZi7PgONx+fjlW178P1f1uPbP76O8fMWIuqJudBp1JB7+SDycZrpQ0hXHvh+LGMMGo0GOp0OOp0O3Hs+FdjY2MBo7HjaIgBER0cjMTHRbBxLQkICJkyY8KBdeyj0Oh2+/eNrqC0ugk6jBjgc+HjYAVLfwe5av9JU5uPIvgTIvX0xd92bkCm9kHpwH859/y3SIsch2L0GDs7ywe6mVWNGI64m/YQf/3czbCWOmLT4JajiZ/boa4GAsdGImDIdiVv+DnVLM8bOfeYh9Lhzjm4eAICrp44j6omnLOKuz8MgsBXjmTffQcq+b3Du+91I2bcLjBkREjtpsLtGiMXrVcHyxhtvYObMmfDy8kJzczN2796NU6dO4dixY5BIJIiLi8Orr74KW1tb+Pj44PTp09i+fTs+/PBDUxuLFi2Cp6cnNm7cCABYs2YNJk6ciPfeew9z587FwYMHcfz4cSQnJ/fvlQ4QvVaDivw8eAwPxKhQOdz8/CENmQA4WcmKrwY9dHkn8PPP2WBGI+KXrjDtDMv/ZWn0pB1fIGnHF3AbNhzTlv0ObsMCetS00WhA6bVsFKanoaGqEm2N9TDo9WAGA3hCIaTuCkgVSsgUSigCg2Hr8HBnf1kCvU6Hiuu5KM7ORN65ZNQU34KPKhKzXlkHsaTnCxByOBxMe/kV3MrMwM/fbIPbsAD4RIwcuI53w83PH6NmzsHprz9HYcYlzH31zX6dRWPJeHw+HvvVYoyIn4nCK5dgw+MjMJo2QyWkO72a1rx06VKcOHEC5eXlcHR0hEqlwmuvvYZp06YBuD2A9vXXX0dCQgLq6urg4+ODl19+GWvXrjV9gpo0aRJ8fX2xbds2U7v79u3Dm2++iZs3b5oWjps3b16vLuRhTWturq3Bz99sQ/n1XDh5KDB2znzsfedNOLkrsOg308FT9a7fJnUFaL5xCaXFFWCMwdFJAhd3F/ADYgHh4N0yN2Tsw+Z3twEAhGI7LN+yw+wTvU6rQXtjIypu5CFp55dw8fHD3HVvdtlmbUkxrpw4htyzSWhtqIedVAZnTyXEjlLY8PngcrnQtrejvrwM9eWlt+9cAZB7+SA4dhJGzXzSomeX9ARjDA2V5SjLzUFlQT4uH/0BACDz9IJeq4X+rhVfmdEIodgOPhEjETlrDpTBYX1+Xb1WiwPvb0BJThZmr3kNAWPG99cl9cnV0ydw7F9/w4zlaxA+edqg9oUQMjh6+v79wOuwWIqHVbCcP7AXybu+6vCxp1+YA9/gIHD9J/Z8/RWDHuorh5CclIWMlFTgrl+HUGwH1ZgwjJsQAWH4LID3kD+B1hci9/w5/PvLHbCXyvDSPz6HDa/zrx+O/etvuHY2Cf6jxsIrTAVlaDicld7gcDhgjKH46hWk/vA9CtPTYCtxREhMHIImTIRHQGCnAwwZY2iqrkRJzlXkp6Yg/+J5iMR2CJ8yHSOmzYKTm+WuQnqvlrpa5KYko/TaVZTmZqOtsQEAIPVQQKtWg8fnI2DMePAEQvD4AtgIBBCIbOHuPxwuvn79NnVVr9Ph6N834fqFFDz23GKMfnJel1/J1JWVormmGjY8HuxlzrCXOYMn6Hyjy5KcLJzZswP15WXgcDjg2vBg6yCB1EMBidwFPKEQtcVFqLh5HY2VFeDa8PDs+vfgMTyoX66PEDK0UMHST3QaNS4d/QF6jRqufv7wCAjC6R1foDQ3G8011fedP272HMRG+/dsWnNNPq4nHcaJY6nQajSIWfA8Qh6bBBseH41VFchJPoWMxKOQuntg/ryxEKtmA7ZO/XNhBh1QlY2WspuorqiFyFYIN28luD7jAf4vu+BqW1GXeghff7oPiuHBmPKb5XBWdv5VV3tzEzJ/SkB+agoqb+bDaDBA4uIKr9AIlOVdQ315KVx8/DB69tMIjH6sT1MyGyorkJF4BFk/JUDd2gK5ty9kCiVsJY5w8/OHd/gIOLpazhRrZjTi1pXLyDh+DDfSzoNrYwOPgCAogkLgGRQKj8DgQRl0ajQacObbHbhwYC8Cox/D5MXLYC+VmR5Xt7bg+vmzyDyZgPK8a/c939HVDdN/uwbe4eYrrN68nIr9f1kPd//h8PtlV2WDXo+2xgbUlZWitb4W2vZ2SBVKuPsPh3tAILzDVB0OGCaEPBqoYOkn2Uk/4eg//zMGR2TvgIAx0XBWesHB2QXtzU1oa2yATqNGTVEhCjMu4flVL8BtVDxg59xxo0YDmlK/w8njF5F/JRvDosYifunKDgetVhXexL4//wHMaIRqdBgmTBkDm6AuZnkwBlRcQcOtPNTVNKCxvgmtzS1gjEEktgWfz0NLUwvqahpQWVmPppoa01NtJRLEPxGLwPGPAe4Rtw/WF6Lg58M49u+zaGtshHe4CiNnzIZ/1LguN4fTqdUozcvBteRTqCm+BTe/AAwfNwE+qsh+GWCp06hx4+J5FKSn/bLIVj3qSkvAmBFO7h4YNmosgqJj4TE8eNAGdBr0Ohx8/x0UpKdB7u0LVfzjCH1sMoRiu0HpT0eunTmNn7ZtgUGnhd/I0XD180dZ3jUUpl+EwWCAT8RIjIifCVe/YTDo9WiurUFzbQ0uHNgDkb0DnnvnA7P2Tn71GfLOJePlf35J03IJIT0y4CvdPiqGRY2Fo5s7Gqsq4ezpBQ9fX1TkXsG1M6eg12pN53E4XNMmbi3tBrhpmjotWNjV/di7MwE6rRazXlmH4Ji4Tt9UXX2H4YW/fITTO77AhVNJaG43ILa+ASJ7B/D5fHB4PIDLA5gBbY0NuHGtAJlXClB+8yYAgGvDg51UCi6Xi/bmZujUatjLnCH18MDwcaHwGB4Md/9AtNTX4fjWf+JUQioCQ4b9p2CR+sJv1jIsCwrE9SvZuJx2HYc+eBcOzi6If2mlaSGte/FFIviqIuGriuxr6LvEF4oQHBOH4Jg40zF1SwuKs6+gMOMSclN+xqUjByH1UCDy8ScRNikegl8GCT8sFfnXUZCehseeexFj5sy3yJkwwTFx8BkxCpeOHMKtjEsoSL8ImUKJx557EYHRsXCQmRfRMoUSZXk5aKqugv/o+8e/SN0VaGtsAAOj9XkIIf2KCpZuiOzs8eKmfyHnzCn8/M1XqCwuxnOzA8D1HAV1ezt4fB54fB4MWi0Kb5TASSqBa2gUIPPrtE0jzw6NVVUYM2dej6YzOjjL8cTqV+Gs9ML5/XuQcz7V9BhPIACHw4XRaIBBpwM4HPiOGIUn1/43PAKDYe8kM/uk29mifM011WisrEDgmDG3C6C78QTgBU1DSNA0hEzKRWXqEez46gROfrWl04JlMIjs7TF87AQMHzsBU5caUJJ9FVeOH8XJrz7DmW93IHzyNIROnAIXH7+HUjy4DQsATygEh8OxyGLlDlt7B8Qs+DViFvy623MbKitw4P134B4QaLZa6x0iBwcYDQZo2toemfVVCCEPBxUsPcATCBAxeTrchw3HN2+uQ2KmB2Z66GA3co5pcK0NgMCInrVnY+uAqKmTcOHgPtSWlmDy4pe63cKew+Egev6vMHL6Eyi/ngttexu0ajV06tszaDhcLmwlEniFRpiNReionXsVZWVg/3t/giJgOKZGe3Uz/oaDRs7tHZld/Xo2fXkwcLk28A5XwTtchaaaaqQnHEbmiR+RdvgApB6eCIqOReD4WMi9fQesmGisqoBeq4XISt64GWP49+b3IBSLMef//Y/ZGCTGGCry85B2+ABs+Hxw6P4KIaSf0RiWXspJPoUjf98EmYcCnp4yyN2c4eIuh5vCDYJh4wFx58XC3VjJReSeO4PTx9OgbmnBmLnPYOzcZ7qcfTFQ9vzpDbQ21OOFF+LAG7EA6GzsQUkabmVnYd/neyFykGDFp193OY7F0hj0OhRlZiD3XDLyU1OgaW2Fo5s7lCHhcHLzgJ1UCnupM+ycpBA7OsGg00EscQRf1Lcp1Ic+fBdVhTfx4qZ/Dcrvtb9p1e34++L/QtQTT0EVPxN6rQZ1ZSUoyc7CzUupaK6thr1UhlmrX4VXaA+rd0LII4/GsPQzg16H+vIy+KgisXD9e8g88SMqigqRnX4NBr0ePKEQM+cVITBmCuAS2G17HOVoBD+lwrDAwno/mwAADPVJREFUozh/Phcp+75BU3UlHl+5ttvn9jcenw9mNEKvN4BXkQGI5QAYoG0Fa62BprkRNWXlyMypQPa581CGhmP2mteGVLECADY8PvwiR8MvcjQMy36HW5npKLichrLcHNxMu4D25vt3/Lbh8xE0PhaTFi/r1cJ1NUWFuH7+LKYvX20VxQoACES2CIuLR9rhA0g7fMB03MndAwFjxmP4uAnwDA6lnYMJIQOC7rD0QFneNRzc9I5p3QxXX394hUWY3sBuXkpFWV4OwiZOwePxIUBQx9vHd6ogCclncpH24zGs2PI1BLbifu1/d8rycvDdu29Dr9VAaGsLvoAPvkAAg8GIlsYm6LUaAIDY0QkxC59HxJQZFj0mo68Meh1aG+rRUleH9uZG2PAFqCq4gdQfvodIbIen/v9bXU7rvsNoNGDvn/4HTTXVWLL50yGzI3FPMMZQV1qM9qYm2PD5cHL3eCRXICaE9B+6w9KPirIy0NbYAEVgCATiMBj1pbh+IQVNNVWmhd7chwUgVlEBuM67faynb+iMAU7e8FfcwnmtBsXZmfCPGjeAV3M/RWAIfvPh/yI/9Rw0ba3QaTTQadTg2tjAXiqDnZMUUg9PuPj4Dbm7Kr1hw+NDIneFRO5qOuarikRQdCwO/HUDdv/xNSx46124ePt22c7ZPTtRkpOFWa+ss6piBfhl92Gl92B3gxDyCKI7LD2g1+lw4cAeXDiwF1weD3KvEGjbm1FXevP2VGYOB2AMApEInn7eEAo4UCjd4RPgDanSDxzPUYDNPW9cJWkozEhDYX4RSoprUFVSBqFYjEXv/4M2EbRA6pYW7Fn/3+Dy+Hh+4986PKelvg6ZJ37Eue93I3TiVMxYvvoh95IQQoYeWjhuIF6jphpZJxNQnp8HgcgWPqpI+I6IhL3UGQmffoy2xgbY8AVoa2xAxY3rMBr0cHB2ho+vBwKCfTFsZCQ43uOAikxcSbmIxN3fQezoBF9VJJShEfAbGQV7WSeLzZFBl3f+DH74cCMmLXoJytAI8AQCtDc3ob6sFDfSLuDmpQuwseFhxPRZmPjr31j13ShCCOkvVLAMMq26HSU5WbiVcRmFVy6jrrQY3sHBGKHyhtrAx08Hf4Rf5BjM+f3rtCLoEGE0GnD4403IO5dstucTOBy4+g5DxOTpCI6Ng8jOfvA6SQghQwwVLBbmRtp5JO/+GjVFhQAAv5FRmPvqm11uJkgsk7a9DbUlxTAY9BCJ7eDo7gG+4CFvTEkIIVaCChYL1dpQDy6PB5GdvVXOtCGEEEJ6g2YJWSjalZYQQgjpPRo8QQghhBCLRwULIYQQQiweFSyEEEIIsXhUsBBCCCHE4lHBQgghhBCLRwULIYQQQiweFSyEEEIIsXhUsBBCCCHE4lHBQgghhBCLRwULIYQQQiweFSyEEEIIsXhUsBBCCCHE4lHBQgghhBCLZzW7NTPGANzeppoQQgghQ8Od9+077+OdsZqCpbm5GQDg5eU1yD0hhBBCSG81NzfD0dGx08c5rLuSZogwGo0oKyuDg4MDOBzOYHcHTU1N8PLyQnFxMSQSyWB3Z9BRPMxRPMxRPMxRPMxRPMxZWzwYY2huboZCoQCX2/lIFau5w8LlcqFUKge7G/eRSCRWkVD9heJhjuJhjuJhjuJhjuJhzpri0dWdlTto0C0hhBBCLB4VLIQQQgixeFSwDBChUIi3334bQqFwsLtiESge5ige5ige5ige5ige5h7VeFjNoFtCCCGEWC+6w0IIIYQQi0cFCyGEEEIsHhUshBBCCLF4VLAQQgghxOJRwdJHeXl5mDt3LuRyOSQSCWJiYnDy5Emzc1JTUzF16lQ4OTlBKpVi+vTpSE9P77JdjUaDV155BXK5HHZ2dpgzZw5KSkoG8Er6R3fx2LZtGzgcToc/VVVVnbY7adKk+85/9tlnH8YlPZCBioe15scd27Ztg0qlgkgkgru7O1atWtVlu9aaH3f0Nh7WnB8d/a188sknXbZrzfnRl3gM1fwwYaRPAgIC2KxZs1hGRgbLy8tjK1euZGKxmJWXlzPGGGtqamJSqZS9+OKL7Nq1aywrK4vNnz+fubq6Mq1W22m7y5cvZ56eniwxMZFdunSJTZ48mY0YMYLp9fqHdWl90l082traWHl5udnPjBkzWFxcXJftxsXFsWXLlpk9r6Gh4SFc0YMZqHhYa34wxtgHH3zAFAoF27lzJ8vPz2dZWVns0KFDXbZrrfnBWN/iYc35AYB9+eWXZr/rtra2Ltu15vzoSzyGan7cQQVLH1RXVzMALCkpyXSsqamJAWDHjx9njDGWmprKALCioiLTOVeuXGEAWH5+foftNjQ0MD6fz3bv3m06VlpayrhcLjt27NgAXc2D60k87lVVVcX4fD7bvn17l23HxcWxNWvW9Gd3B9xAxcOa86Ouro7Z2tp2Gp/OWGt+9CUe1pwfjN1+g96/f3+v2rbW/GCs9/EYqvlxN/pKqA+cnZ0REhKC7du3o7W1FXq9Hp9++inc3NwQFRUFAAgKCoJcLsfnn38OrVaL9vZ2fP755wgLC4OPj0+H7aalpUGn02H69OmmYwqFAuHh4Th79uxDuba+6Ek87rV9+3aIxWI888wz3ba/c+dOyOVyhIWFYd26daaduS3VQMXDmvMjMTERRqMRpaWlCAkJgVKpxIIFC1BcXNxt+9aYH32JhzXnxx2rVq2CXC7HmDFj8Mknn8BoNHbbvjXmxx29icdQzQ8zg10xDVUlJSUsKiqKcTgcZmNjwxQKBbt8+bLZOVlZWczf359xuVzG5XJZcHAwu3XrVqdt7ty5kwkEgvuOT5s2jb388sv9fQn9qifxuFtoaChbsWJFt+1u2bKFJSYmsszMTLZr1y7m6+vL4uPj+7HnA2Mg4mHN+bFx40bG5/NZUFAQO3bsGEtJSWFTp05lQUFBTKPRdNquteZHX+JhzfnBGGMbNmxgZ8+eZZcvX2abNm1iYrGYbdiwoct2rTU/GOt9PIZyftxBBctd3n77bQagy5/U1FRmNBrZnDlz2MyZM1lycjJLS0tjK1asYJ6enqysrIwxdnuMwtixY9miRYvYhQsXWEpKCps/fz4LCwvr9HvGzhIqPj6e/fa3vx3Qa+9If8bjbmfPnmUA2MWLF3vdp4sXLzIALC0trT8usVcGOx7WnB9//vOfGQD2448/mtqvqqrq9e1qa8mPvsTDmvOjI5s2bWISiaRXfbKW/OhId/GwtPzoCypY7lJdXc1ycnK6/Glvb2fHjx9nXC6XNTY2mj0/ICCAbdy4kTHG2NatW5mrqyszGAymxzUaDROLxWzXrl0dvv6JEycYAFZXV2d2XKVSsbfeequfr7Z7/RmPuy1ZsoSNHDmyT30yGo33fQ/7sAx2PKw5P7744gsGgBUXF5ud4+rqyrZs2dLjPllLfvQlHtacHx1JTk5mAFhFRUWP+2Qt+dGR7uJhafnRF7wH+DbJ6sjlcsjl8m7Pa2trAwBwueZDgLhcruk7xLa2NnC5XHA4HLPHORxOp98zRkVFgc/nIzExEQsWLAAAlJeXIysrC3/961/7dE0Poj/jcUdLSwv27NmDjRs39qlPV69ehU6ng4eHR5+e/yAGOx7WnB8xMTEAgNzcXCiVSgBAXV0dampqOh3z1RFryY++xMOa86Mjly9fhkgkgpOTU4/7ZC350ZHu4mFp+dEng10xDUXV1dXM2dmZzZs3j6Wnp7Pc3Fy2bt06xufzWXp6OmOMsZycHCYUCtmKFStYdnY2y8rKYs8//zxzdHQ03dYrKSlhQUFB7Pz586a2ly9fzpRKJTt+/Di7dOkSmzJlisVPO+tJPO7YunUrE4lE91X5jN0fj/z8fLZ+/XqWmprKCgoK2OHDh1lwcDCLjIx8JOPBmHXnx9y5c1lYWBg7c+YMy8zMZLNnz2ahoaGmZQAetfzobTwYs978OHToENuyZQvLzMxk+fn57LPPPmMSiYStXr3a1M6jlB99iQdjQzM/7kYFSx+lpqay6dOnM5lMxhwcHNj48ePZkSNHzM5JSEhgMTExzNHRkUmlUjZlyhSWkpJierygoIABYCdPnjQda29vZ6tWrWIymYzZ2tqy2bNnm02NtlQ9iQdjjEVHR7PnnnuuwzbujUdRURGbOHEik8lkTCAQMH9/f7Z69WpWW1s7kJfSLwYiHoxZd340NjayJUuWMCcnJyaTydjTTz9tdm2PWn70Nh6MWW9+HD16lI0cOZLZ29szsVjMwsPD2ebNm5lOpzOd8yjlR1/iwdjQzY87OIwxNog3eAghhBBCukXrsBBCCCHE4lHBQgghhBCLRwULIYQQQiweFSyEEEIIsXhUsBBCCCHE4lHBQgghhBCLRwULIYQQQiweFSyEEEIIsXhUsBBCCCHE4lHBQgghhBCLRwULIYQQQiweFSyEEEIIsXj/B3kagbhpiKueAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for t in badDiscoList:\n",
    "    plotPoly(hdCP[t].buffer(0.3))\n",
    "    plotPoly((HDpoly[t].intersection(MAP)).buffer(-0.01),0.2)\n",
    "    for u in HDunitList[t]:\n",
    "        plotPoly(unitCP[u].buffer(0.03))\n",
    "    plotPoly(MAP)\n",
    "    plotCenter(r3(HDvPop[t]/aDP), MAP)\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "id": "a8eb65f3-d218-402e-8fc8-df63b1cee792",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "currHDunitList = [HDunitList[t].copy() for t in range(nHDs) ] #safekeeping"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 161,
   "id": "85ce739b-5af0-4e70-9061-9b3ec2d6941f",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "for t in badDiscoList:\n",
    "    HDunitList[t] = savedHDunitList[t].copy()  #restart"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 162,
   "id": "23ddafb6-eb11-4c61-a533-1adba8574fe9",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "For Indiana, there are only a few badDisco's.  Let's fill in any little enclaves in them.\n",
      "2825 True True t, unbroken,noEnclave\n",
      "2711 True True t, unbroken,noEnclave\n",
      "2586 True False t, unbroken,noEnclave\n",
      "2586 has 1 enclave lists.  The total enclave pop is 7.460465888116979\n",
      "2727 True True t, unbroken,noEnclave\n",
      "2733 True False t, unbroken,noEnclave\n",
      "2733 has 1 enclave lists.  The total enclave pop is 15\n",
      "2611 True True t, unbroken,noEnclave\n",
      "2746 True True t, unbroken,noEnclave\n",
      "3143 True True t, unbroken,noEnclave\n",
      "1099 True True t, unbroken,noEnclave\n",
      "3150 True True t, unbroken,noEnclave\n",
      "3154 True True t, unbroken,noEnclave\n",
      "2649 True True t, unbroken,noEnclave\n",
      "1121 True True t, unbroken,noEnclave\n",
      "1122 True True t, unbroken,noEnclave\n",
      "2661 True True t, unbroken,noEnclave\n",
      "2789 True True t, unbroken,noEnclave\n",
      "1264 True True t, unbroken,noEnclave\n",
      "2677 True True t, unbroken,noEnclave\n",
      "2682 True True t, unbroken,noEnclave\n",
      "after adding small enclaves, we have\n",
      "2825 True True t, unbroken,noEnclave\n",
      "2711 True True t, unbroken,noEnclave\n",
      "2586 True True t, unbroken,noEnclave\n",
      "2727 True True t, unbroken,noEnclave\n",
      "2733 True True t, unbroken,noEnclave\n",
      "2611 True True t, unbroken,noEnclave\n",
      "2746 True True t, unbroken,noEnclave\n",
      "3143 True True t, unbroken,noEnclave\n",
      "1099 True True t, unbroken,noEnclave\n",
      "3150 True True t, unbroken,noEnclave\n",
      "3154 True True t, unbroken,noEnclave\n",
      "2649 True True t, unbroken,noEnclave\n",
      "1121 True True t, unbroken,noEnclave\n",
      "1122 True True t, unbroken,noEnclave\n",
      "2661 True True t, unbroken,noEnclave\n",
      "2789 True True t, unbroken,noEnclave\n",
      "1264 True True t, unbroken,noEnclave\n",
      "2677 True True t, unbroken,noEnclave\n",
      "2682 True True t, unbroken,noEnclave\n"
     ]
    }
   ],
   "source": [
    "print(\"For Indiana, there are only a few badDisco's.  Let's fill in any little enclaves in them.\")\n",
    "for t in badDiscoList:\n",
    "    notInCluster = True\n",
    "    for jj, geo in enumerate(CCBgeom):  #swell in-corner HDs from the corner cluster\n",
    "        if geo.contains(hdCP[t]):\n",
    "            starterU = allUnits.index(jj+0.25)\n",
    "            notInCluster = False\n",
    "    if notInCluster:\n",
    "        distList = [hdCP[t].distance(unitCP[u]) for u in HDunitList[t] ]\n",
    "        starterU = HDunitList[t][distList.index(np.min(distList))]  #starter = unit with centroid closest to the hd center\n",
    "    contigUs = getContigFromStarter(starterU, HDunitList[t],unitNbrs) #[starterU]  #use [starterU] if this is fast enough \n",
    "    unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(contigUs, unitNbrs) \n",
    "    print(t,unbroken,noEnclave,\"t, unbroken,noEnclave\")\n",
    "    if not noEnclave:\n",
    "        eLists = getEnclaveLists(contigUs, unitNbrs)\n",
    "        ePop = np.sum([np.sum([unitPop[u] for u in eL]) for eL in eLists])\n",
    "        print(t,\"has\",len(eLists),\"enclave lists.  The total enclave pop is\",ePop )\n",
    "        if ePop + HDvPop[t] < aDP or ePop < 0.02 * aDP:\n",
    "            for eL in eLists:\n",
    "                for u in eL:\n",
    "                    HDvPop[t] += unitPop[u]\n",
    "                    HDunitList[t].append(u)\n",
    "                    unitUse[u] += HDweight[t] * nDistricts\n",
    "print(\"after adding small enclaves, we have\")\n",
    "for t in badDiscoList:\n",
    "    notInCluster = True\n",
    "    for jj, geo in enumerate(CCBgeom):  #swell in-corner HDs from the corner cluster\n",
    "        if geo.contains(hdCP[t]):\n",
    "            starterU = allUnits.index(jj+0.25)\n",
    "            notInCluster = False\n",
    "    if notInCluster:\n",
    "        distList = [hdCP[t].distance(unitCP[u]) for u in HDunitList[t] ]\n",
    "        starterU = HDunitList[t][distList.index(np.min(distList))]  #starter = unit with centroid closest to the hd center\n",
    "    contigUs = getContigFromStarter(starterU, HDunitList[t],unitNbrs) #[starterU]  #use [starterU] if this is fast enough \n",
    "    unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(contigUs, unitNbrs) \n",
    "    print(t,unbroken,noEnclave,\"t, unbroken,noEnclave\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "id": "303a3f62-b8f5-4cf4-99b4-d837d7933705",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "75\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#for uu in adjoiners:\n",
    "#    plotPoly(unitGeom[uu], 0.2)\n",
    "print(len(HDunitList[t]))\n",
    "for u in currList:\n",
    "    plotPoly(unitGeom[u], 1.2)\n",
    "    if u in contigUs:\n",
    "        plotPoly(unitCP[u].buffer(0.05))\n",
    "plotPoly(HDpoly[t].intersection(MAP), 0.3)\n",
    "#plotPoly(MAP,0.1)\n",
    "plotPoly(unitCP[starterU].buffer(0.2))\n",
    "for uu in adjoiners:\n",
    "    plotPoly(unitGeom[uu],0.1)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 163,
   "id": "2e54bac4-c327-473d-bbb4-257486bddd20",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "And now, the major disco'd HDs (< 0.5 aDP in HDcP-contig portion and/or enclaves).  Redraw fully using HDswell\n",
      "Assuming we have run the previous canSwell block.  This block repeats the code, but starting from the home unit\n",
      "This takes 5 - 1000 sec per HD :-( The total number of HDs to fix is 19\n",
      "swell-generating HD 2825 our 1 th HD we must regrow out of 19 0 sec elapsed\n",
      "for HD 2825 I added border units totalling pop 307647.1100495966 333500.97225584666 =remaining gap\n",
      "2825 has 1 enclave lists after border unit adds.  The total enclave pop is 2201.01958157727\n",
      "200 loop no for adding units that intersected HDpoly 2825 pop gap is now 124752.27414680496\n",
      "305 loops. I added 346 units that intersected the original HDpoly to HD 2825 pop gap is now 76.4085166000159\n",
      "for HD 2711 I added border units totalling pop 310213.280294477 280288.63211071095 =remaining gap\n",
      "2711 has 1 enclave lists after border unit adds.  The total enclave pop is 2201.01958157727\n",
      "200 loop no for adding units that intersected HDpoly 2711 pop gap is now 72646.09333670832\n",
      "255 loops. I added 297 units that intersected the original HDpoly to HD 2711 pop gap is now 658.3352597410303\n",
      "for HD 2586 I added border units totalling pop 280964.12963117386 110647.65024225524 =remaining gap\n",
      "105 loops. I added 132 units that intersected the original HDpoly to HD 2586 pop gap is now -960.8922214442418\n",
      "for HD 2727 I added border units totalling pop 308735.280294477 228630.2752610785 =remaining gap\n",
      "200 loop no for adding units that intersected HDpoly 2727 pop gap is now 18935.756068653136\n",
      "213 loops. I added 252 units that intersected the original HDpoly to HD 2727 pop gap is now 549.756068653136\n",
      "for HD 2733 I added border units totalling pop 310235.280294477 240300.84352492657 =remaining gap\n",
      "2733 has 1 enclave lists after border unit adds.  The total enclave pop is 2201.01958157727\n",
      "200 loop no for adding units that intersected HDpoly 2733 pop gap is now 25083.73648707592\n",
      "212 loops. I added 253 units that intersected the original HDpoly to HD 2733 pop gap is now 379.7364870759193\n",
      "swell-generating HD 2611 our 6 th HD we must regrow out of 19 17 sec elapsed\n",
      "for HD 2611 I added border units totalling pop 280964.12963117386 96884.18316194968 =remaining gap\n",
      "89 loops. I added 116 units that intersected the original HDpoly to HD 2611 pop gap is now 42.58443113556632\n",
      "for HD 2746 I added border units totalling pop 305728.2998760543 204989.72779657843 =remaining gap\n",
      "179 loops. I added 216 units that intersected the original HDpoly to HD 2746 pop gap is now 620.6144136463845\n",
      "for HD 3143 I added border units totalling pop 67077.17987525472 446743.37568030076 =remaining gap\n",
      "200 loop no for adding units that intersected HDpoly 3143 pop gap is now 202831.3709416794\n",
      "342 loops. I added 375 units that intersected the original HDpoly to HD 3143 pop gap is now 640.9547444754455\n",
      "for HD 1099 I added border units totalling pop 65212.17987525471 450366.3756803008 =remaining gap\n",
      "200 loop no for adding units that intersected HDpoly 1099 pop gap is now 226822.11343773006\n",
      "350 loops. I added 383 units that intersected the original HDpoly to HD 1099 pop gap is now 72.46746119139289\n",
      "for HD 3150 I added border units totalling pop 65994.42606348128 437297.12949207425 =remaining gap\n",
      "200 loop no for adding units that intersected HDpoly 3150 pop gap is now 201030.1247534529\n",
      "342 loops. I added 374 units that intersected the original HDpoly to HD 3150 pop gap is now -367.705001666666\n",
      "swell-generating HD 3154 our 11 th HD we must regrow out of 19 31 sec elapsed\n",
      "for HD 3154 I added border units totalling pop 59083.28140186115 434387.27415369434 =remaining gap\n",
      "200 loop no for adding units that intersected HDpoly 3154 pop gap is now 211721.74965014908\n",
      "347 loops. I added 373 units that intersected the original HDpoly to HD 3154 pop gap is now -924.8963263895871\n",
      "for HD 2649 I added border units totalling pop 290075.12963117386 302429.9442247531 =remaining gap\n",
      "200 loop no for adding units that intersected HDpoly 2649 pop gap is now 100218.9236027072\n",
      "276 loops. I added 312 units that intersected the original HDpoly to HD 2649 pop gap is now 185.0579725022535\n",
      "for HD 1121 I added border units totalling pop 59083.28140186115 429717.27415369434 =remaining gap\n",
      "200 loop no for adding units that intersected HDpoly 1121 pop gap is now 209133.5730787078\n",
      "335 loops. I added 361 units that intersected the original HDpoly to HD 1121 pop gap is now 0.5730787077918649\n",
      "for HD 1122 I added border units totalling pop 69166.17987525472 444654.37568030076 =remaining gap\n",
      "200 loop no for adding units that intersected HDpoly 1122 pop gap is now 207299.0870412044\n",
      "377 loops. I added 411 units that intersected the original HDpoly to HD 1122 pop gap is now 766.027029911741\n",
      "for HD 2661 I added border units totalling pop 306589.1100495966 274129.1515017548 =remaining gap\n",
      "2661 has 1 enclave lists after border unit adds.  The total enclave pop is 2201.01958157727\n",
      "200 loop no for adding units that intersected HDpoly 2661 pop gap is now 66104.30177318855\n",
      "250 loops. I added 290 units that intersected the original HDpoly to HD 2661 pop gap is now 949.3017731885484\n",
      "swell-generating HD 2789 our 16 th HD we must regrow out of 19 49 sec elapsed\n",
      "for HD 2789 I added border units totalling pop 297496.1296311738 85508.76213612431 =remaining gap\n",
      "73 loops. I added 103 units that intersected the original HDpoly to HD 2789 pop gap is now -582.1876875971257\n",
      "for HD 1264 I added border units totalling pop 301642.31898367096 442769.2413105057 =remaining gap\n",
      "200 loop no for adding units that intersected HDpoly 1264 pop gap is now 210778.72399023068\n",
      "366 loops. I added 396 units that intersected the original HDpoly to HD 1264 pop gap is now 307.67211260809563\n",
      "for HD 2677 I added border units totalling pop 308634.280294477 215986.63389433315 =remaining gap\n",
      "2677 has 1 enclave lists after border unit adds.  The total enclave pop is 2859.01958157727\n",
      "191 loops. I added 231 units that intersected the original HDpoly to HD 2677 pop gap is now 342.59722176389187\n",
      "for HD 2682 I added border units totalling pop 309290.280294477 257423.2752610785 =remaining gap\n",
      "2682 has 1 enclave lists after border unit adds.  The total enclave pop is 2201.01958157727\n",
      "200 loop no for adding units that intersected HDpoly 2682 pop gap is now 42682.37936606351\n",
      "230 loops. I added 271 units that intersected the original HDpoly to HD 2682 pop gap is now 173.37936606351286\n"
     ]
    }
   ],
   "source": [
    "#THIS IS THE MUSTSPAWN code block - SPECIAL to speed IN -- RUN ALONG BORDER, DON'T ENCLAVE CHECK FOR EACH ADD\n",
    "print(\"And now, the major disco'd HDs (< 0.5 aDP in HDcP-contig portion and/or enclaves).  Redraw fully using HDswell\")\n",
    "print(\"Assuming we have run the previous canSwell block.  This block repeats the code, but starting from the home unit\")\n",
    "print(\"This takes 5 - 1000 sec per HD :-( The total number of HDs to fix is\",len(badDiscoList))\n",
    "avgDiam = MAP.area**0.5 / float(nDistricts)\n",
    "startTime = time.time()\n",
    "skipEnclaveCheck = True\n",
    "for loopI,t in enumerate(badDiscoList):  #NOTE - MUST RUN ABOVE BLOCK such that the contigUs do not have any enclaves *******\n",
    "    if loopI%5 == 0:\n",
    "        print(\"swell-generating HD\",t,\"our\",loopI+1,\"th HD we must regrow out of\",len(badDiscoList),int(time.time()-startTime),\"sec elapsed\" )\n",
    "    notInCluster = True\n",
    "    for jj, geo in enumerate(CCBgeom):  #swell in-corner HDs from the corner cluster\n",
    "        if geo.contains(hdCP[t]):\n",
    "            starterU = allUnits.index(jj+0.25)\n",
    "            notInCluster = False\n",
    "    if notInCluster:\n",
    "        distList = [hdCP[t].distance(unitCP[u]) for u in HDunitList[t] ]\n",
    "        starterU = HDunitList[t][distList.index(np.min(distList))]  #starter = unit with centroid closest to the hd center\n",
    "    contigUs = getContigFromStarter(starterU, HDunitList[t],unitNbrs) #[starterU]  #use [starterU] if this is fast enough\n",
    "    contigPop = np.sum( [ unitPop[u] for u in contigUs ] )\n",
    "    if contigPop > aDP:\n",
    "        print(\"for HD\",t,\"our contig pop was\",r5(contigPop/aDP),\"of aDP, so start from solitary unit instead\")\n",
    "        contigUs,contigPop = [starterU], unitPop[starterU]\n",
    "    gap = aDP - contigPop\n",
    "    origGap = gap\n",
    "    currList, addedList, cAIloop = contigUs.copy(), list(), 0\n",
    "    borderListInPoly = list()\n",
    "    for u in borderSet.difference(set(contigUs)):  #first, try to add all the intersecting border units, guaranteed to not enclave\n",
    "        if unitGeom[u].intersects(HDpoly[t]):\n",
    "            borderListInPoly.append(u)\n",
    "    borderPopToAdd = np.sum([unitPop[u] for u in borderListInPoly])\n",
    "    if borderPopToAdd < gap + maxGap:\n",
    "        addedList = borderListInPoly.copy()\n",
    "        currList += addedList\n",
    "        gap -= borderPopToAdd\n",
    "        print(\"for HD\",t,\"I added border units totalling pop\",borderPopToAdd,gap,\"=remaining gap\")\n",
    "    \n",
    "    canAddIntersecters = True  #first, look to add units that intersected the HDpoly, even if their centers weren't captured   \n",
    "    unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(currList, unitNbrs) \n",
    "    if not noEnclave:\n",
    "        eLists = getEnclaveLists(currList, unitNbrs)\n",
    "        ePop = np.sum([np.sum([unitPop[u] for u in eL]) for eL in eLists])\n",
    "        print(t,\"has\",len(eLists),\"enclave lists after border unit adds.  The total enclave pop is\",ePop )\n",
    "        if ePop + HDvPop[t] < 1.05*aDP :\n",
    "            for eL in eLists:\n",
    "                for u in eL:\n",
    "                    gap -= unitPop[u]\n",
    "                    currList.append(u)\n",
    "            unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(currList, unitNbrs)\n",
    "        if not noEnclave:\n",
    "            raise Exception(\"ERROR! HD\",t,\"has a home contiguous piece with an enclave.  Unworkable in this code\")\n",
    "    while canAddIntersecters and gap > maxGap:\n",
    "        cAIloop +=1\n",
    "        if cAIloop %200 == 0:\n",
    "            print(cAIloop,\"loop no for adding units that intersected HDpoly\",t,\"pop gap is now\",gap)\n",
    "        adjoiners = getAdjoiners(currList, unitNbrs)\n",
    "        intersectingList = list()\n",
    "        for uu in adjoiners:\n",
    "            if unitPop[uu] < gap + maxGap:\n",
    "                if unitGeom[uu].intersects(HDpoly[t]):\n",
    "                    if len(borderListInPoly) > 0:  #we were able to run along the border, so take risk to not enclave-check now\n",
    "                        goodToAdd = True\n",
    "                    else:  #need to check for enclaving as we go\n",
    "                        goodToAdd = wontEnclave(uu, currList, unitNbrs, borderUnits)\n",
    "                    if goodToAdd:\n",
    "                        intersectingList.append(uu)\n",
    "        if len(intersectingList) == 0:\n",
    "            canAddIntersecters = False\n",
    "        else:\n",
    "            intersectingDist = [unitCP[uu].distance(hdCP[t]) for uu in intersectingList]\n",
    "            unitNoToAdd = intersectingList[intersectingDist.index(np.min(intersectingDist)) ] #closest qualifying\n",
    "            gap -= unitPop[unitNoToAdd]\n",
    "            addedList.append(unitNoToAdd)\n",
    "            currList.append(unitNoToAdd)\n",
    "    print(cAIloop,\"loops. I added\",len(addedList), \"units that intersected the original HDpoly to HD\",t,\"pop gap is now\",gap)   \n",
    "    #pause = input(\"ready to continue?\")\n",
    "    \n",
    "    adjoiners = getAdjoiners(currList, unitNbrs)\n",
    "    nearHDlist = [uu for uu in adjoiners]  #bias toward underused, close to HD (and its center)\n",
    "    nearHDscore = [ (0.2*(unitUse[uu] - 1.) ) + 0.5*(unitCP[uu].distance(HDpoly[t]) + unitCP[uu].distance(hdCP[t])  )  / HDdiam[t] for uu in adjoiners ]\n",
    "    stillGoing = True\n",
    "    while gap > maxGap and len(nearHDlist) > 0 and stillGoing:   #add the lowest-scoring neighboring underused unit until we've roughly squared the HDpop\n",
    "        nearHDtotalScore = nearHDscore.copy()\n",
    "        for jj, uu in enumerate(nearHDlist):\n",
    "            nHDnbrs = len( set(unitNbrs[uu]).intersection(set(currList)) )\n",
    "            if nHDnbrs == 1:\n",
    "                nearHDtotalScore[jj] += 0.2   #suppress slender chains\n",
    "        idx, iii, notYetPicked = np.argsort(nearHDtotalScore), 0, True\n",
    "        while iii < len(nearHDscore) and notYetPicked:\n",
    "            listNo = idx[iii]   #nearHDscore.index(np.min(nearHDscore))\n",
    "            unitNoToAdd = nearHDlist[listNo]  #add this unit ...\n",
    "            canAdd  = wontEnclave(unitNoToAdd, currList, unitNbrs, borderUnits)\n",
    "            if canAdd:\n",
    "                notYetPicked = False\n",
    "            else:\n",
    "                iii +=1\n",
    "        if notYetPicked:\n",
    "            stillGoing = False  #can't add any more units without creating an enclave\n",
    "        else: #we selected the best unit to add legally\n",
    "            gap -= unitPop[unitNoToAdd]\n",
    "            addedList.append(unitNoToAdd)\n",
    "            currList.append( unitNoToAdd)\n",
    "            for uu in unitNbrs[unitNoToAdd]:             # ... and add its nonHD neighbors to future candidates\n",
    "                if uu not in currList and uu not in nearHDlist and unitPop[uu] < gap + maxGap:  \n",
    "                    nearHDlist.append(uu)\n",
    "                    thisScore = (0.2*(unitUse[uu] - 1.) ) + 0.5*(unitCP[uu].distance(HDpoly[t]) + unitCP[uu].distance(hdCP[t]) ) / HDdiam[t]\n",
    "                    nearHDscore.append(thisScore )\n",
    "            del nearHDscore[nearHDlist.index(unitNoToAdd)]        \n",
    "            del nearHDlist[ nearHDlist.index(unitNoToAdd) ]\n",
    "            for uu in nearHDlist.copy():\n",
    "                if unitPop[uu] > gap + maxGap:   #with the added pop from another unit, this unit is now too big to add\n",
    "                    del nearHDscore[nearHDlist.index(uu)]\n",
    "                    del nearHDlist[ nearHDlist.index(uu)]\n",
    "    for u in addedList:\n",
    "        unitUse[u] += HDweight[t] * nDistricts\n",
    "    for u in list( set(HDunitList[t]).difference(set(contigUs)) ):\n",
    "        unitUse[u] -= HDweight[t] * nDistricts       \n",
    "    HDunitList[t] = contigUs + addedList\n",
    "    HDvPop[t]    = np.sum( [unitPop[u] for u in HDunitList[t] ] )\n",
    "    HDnAddedUnits[t] = len(addedList)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 164,
   "id": "6a347dfb-21be-49ce-bf7b-33751e3f8b7c",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "quick classification: who has contiguity problems?\n",
      "working on HD 0 time is now 0\n",
      "working on HD 1008 time is now 7\n",
      "working on HD 2024 time is now 15\n",
      "working on HD 3033 time is now 25\n",
      "working on HD 4047 time is now 32\n",
      "working on HD 5052 time is now 42\n",
      "out of 5106 total HDs, there were 5099.0 contiguous and 5089.0 complement-contiguous HDs\n",
      "5 HDs had both discontiguity problems, while enclave-only = 12 and discontig only= 2\n",
      "here are the histograms of the small piece and enclave list lengths, total no = 7 12\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "And here are the small-HD-piece and small-enclave pops\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#THIS is the FINDSTILLBROKEN code\n",
    "print(\"quick classification: who has contiguity problems?\")\n",
    "nUnbroken, nNoEnclave, smallPieceLists, enclaveLists, sPgenerator, eLgenerator = 0., 0., list(), list(), list(), list()\n",
    "smallPieceLengths, enclaveLengths = list(), list()\n",
    "doubleTroubleList = list()\n",
    "startTime = time.time()\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%1000 == 0:\n",
    "        print(\"working on HD\",t,\"time is now\",int(time.time() - startTime) )\n",
    "    unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(HDunitList[t], unitNbrs)\n",
    "    if unbroken:\n",
    "        nUnbroken +=1\n",
    "    if noEnclave:\n",
    "        nNoEnclave +=1\n",
    "    if not unbroken:\n",
    "        smallPieceLists.append(smallPieceList)\n",
    "        smallPieceLengths.append(len(smallPieceList))\n",
    "        sPgenerator.append(t)\n",
    "    if not noEnclave and unbroken:   #district is contiguous but contains 1+ enclave\n",
    "        enclaveLists.append(enclaveList)\n",
    "        enclaveLengths.append(len(enclaveList))\n",
    "        eLgenerator.append(t)\n",
    "    if not noEnclave and not unbroken:  #extremely discontig (\"broken\") HDs can appear to have enclaves;\n",
    "        doubleTroubleList.append(t)\n",
    "print(\"out of\",len(popHDlist),\"total HDs, there were\",nUnbroken,\"contiguous and\",nNoEnclave,\"complement-contiguous HDs\")\n",
    "print(len(doubleTroubleList),\"HDs had both discontiguity problems, while enclave-only =\",len(eLgenerator),\n",
    "      \"and discontig only=\",len(sPgenerator)-len(doubleTroubleList) )\n",
    "\n",
    "print(\"here are the histograms of the small piece and enclave list lengths, total no =\",\n",
    "      len(smallPieceLists),len(enclaveLists) )\n",
    "plt.hist([s for s in smallPieceLengths],label=\"small piece l units\",histtype='step',\n",
    "         cumulative=True,bins=[0,1,2,3,4,5,6,8,10,12,15,20,25,30,35,40,45,50,60,80,120,200])\n",
    "plt.hist([e for e in enclaveLengths],label=\"enclave l units\",histtype='step',\n",
    "         cumulative=True,bins=[0,1,2,3,4,5,6,8,10,12,15,20,25,30,35,40,45,50,60,80,120,200])\n",
    "plt.legend()\n",
    "plt.show()\n",
    "print(\"And here are the small-HD-piece and small-enclave pops\")\n",
    "plt.hist([sum(unitPop[u] for u in s) for s in smallPieceLists],label=\"small piece 1 pop\",histtype='step')\n",
    "plt.hist([sum(unitPop[u] for u in e) for e in enclaveLists],label=\"enclave 1 pop\",histtype='step')\n",
    "plt.legend()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 184,
   "id": "a6e5f915-974d-411c-923a-0b5a075f81dc",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1051 has 1 enclave lists after border unit adds.  The total enclave pop is 309181.12940697884 and gap-to-fill 167027.9219913229\n",
      "  Sorry, the ePop 309181.12940697884 is too big to fill\n",
      "1121 has 1 enclave lists after border unit adds.  The total enclave pop is 7.303663634797333 and gap-to-fill 0.5730787079082802\n",
      "  I filled in enclaves for HD 1121 its pop-aDP is now 6 and it has 0 enclaves\n",
      "2586 has 3 enclave lists after border unit adds.  The total enclave pop is 6681 and gap-to-fill -960.89222144417\n",
      "  I filled in enclaves for HD 2586 its pop-aDP is now 7641 and it has 0 enclaves\n",
      "2611 has 1 enclave lists after border unit adds.  The total enclave pop is 3016 and gap-to-fill 42.58443113556132\n",
      "  I filled in enclaves for HD 2611 its pop-aDP is now 2973 and it has 0 enclaves\n",
      "2661 has 3 enclave lists after border unit adds.  The total enclave pop is 4352.772563114405 and gap-to-fill 3150.3213547659107\n",
      "  I filled in enclaves for HD 2661 its pop-aDP is now 1202 and it has 0 enclaves\n",
      "2677 has 2 enclave lists after border unit adds.  The total enclave pop is 2874.29890970078 and gap-to-fill 3201.616803341196\n",
      "  I filled in enclaves for HD 2677 its pop-aDP is now -327 and it has 0 enclaves\n",
      "2682 has 4 enclave lists after border unit adds.  The total enclave pop is 4940.4513177292565 and gap-to-fill 2374.398947640788\n",
      "  I filled in enclaves for HD 2682 its pop-aDP is now 2566 and it has 0 enclaves\n",
      "2711 has 5 enclave lists after border unit adds.  The total enclave pop is 10115.451317729256 and gap-to-fill 2859.3548413182143\n",
      "  I filled in enclaves for HD 2711 its pop-aDP is now 7256 and it has 0 enclaves\n",
      "2733 has 1 enclave lists after border unit adds.  The total enclave pop is 2201.01958157727 and gap-to-fill 2580.756068653078\n",
      "  I filled in enclaves for HD 2733 its pop-aDP is now -379 and it has 0 enclaves\n",
      "2746 has 1 enclave lists after border unit adds.  The total enclave pop is 430.58671954935653 and gap-to-fill 620.6144136462826\n",
      "  I filled in enclaves for HD 2746 its pop-aDP is now -190 and it has 0 enclaves\n",
      "2825 has 4 enclave lists after border unit adds.  The total enclave pop is 6226.822661354021 and gap-to-fill 2277.4280981773045\n",
      "  I filled in enclaves for HD 2825 its pop-aDP is now 3949 and it has 0 enclaves\n",
      "3154 has 1 enclave lists after border unit adds.  The total enclave pop is 1270 and gap-to-fill -924.896326389513\n",
      "  I filled in enclaves for HD 3154 its pop-aDP is now 2194 and it has 0 enclaves\n",
      "1122 has 3 enclave lists after border unit adds.  The total enclave pop is 2874.2961442614037 and gap-to-fill 766.0270299117547\n",
      "  I filled in enclaves for HD 1122 its pop-aDP is now 2108 and it has 0 enclaves\n",
      "2649 has 2 enclave lists after border unit adds.  The total enclave pop is 3069.7529815371354 and gap-to-fill 185.05797250231262\n",
      "  I filled in enclaves for HD 2649 its pop-aDP is now 2884 and it has 0 enclaves\n",
      "2727 has 1 enclave lists after border unit adds.  The total enclave pop is 2098 and gap-to-fill 549.7560686530778\n",
      "  I filled in enclaves for HD 2727 its pop-aDP is now 1548 and it has 0 enclaves\n",
      "2789 has 3 enclave lists after border unit adds.  The total enclave pop is 2762.548433856355 and gap-to-fill -582.1876875972375\n",
      "  I filled in enclaves for HD 2789 its pop-aDP is now 3344 and it has 0 enclaves\n",
      "3150 has 1 enclave lists after border unit adds.  The total enclave pop is 2531.753811773423 and gap-to-fill -367.70500166655984\n",
      "  I filled in enclaves for HD 3150 its pop-aDP is now 2899 and it has 0 enclaves\n"
     ]
    }
   ],
   "source": [
    "enclavyList = eLgenerator + doubleTroubleList\n",
    "for t in enclavyList:\n",
    "    unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(HDunitList[t], unitNbrs,0) \n",
    "    if not noEnclave:\n",
    "        HD__pop = np.sum([unitPop[u] for u in HDunitList[t] ])\n",
    "        eLists = getEnclaveLists(HDunitList[t], unitNbrs)\n",
    "        ePop = np.sum([np.sum([unitPop[u] for u in eL]) for eL in eLists])\n",
    "        gap = aDP - HD__pop\n",
    "        print(t,\"has\",len(eLists),\"enclave lists after border unit adds.  The total enclave pop is\",ePop,\"and gap-to-fill\",gap )\n",
    "        if ePop < 0.02 * aDP:\n",
    "            for eL in eLists:\n",
    "                HDunitList[t] += eL\n",
    "                HDvPop[t] += np.sum([unitPop[u] for u in eL])\n",
    "                for u in eL:\n",
    "                    unitUse[u] += HDweight[t] * nDistricts\n",
    "            eLists = getEnclaveLists(HDunitList[t], unitNbrs)\n",
    "            print(\"  I filled in enclaves for HD\",t,\"its pop-aDP is now\",int(HDvPop[t]-aDP),\"and it has\",len(eLists),\"enclaves\")\n",
    "        else:\n",
    "            print(\"  Sorry, the ePop\",ePop,\"is too big to fill\")\n",
    "    else:\n",
    "        print(t,\"is actually not enclavy\")\n",
    "                          "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 185,
   "id": "b78199da-ac7c-4cfb-ac0b-26363a8a8c56",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "prev avg use and its sd are 0.93172 0.12671\n",
      "defining and displaying current unit use after most recent manipulations; compare to original farther above.\n",
      "current avg use and its sd are 0.93174 0.1267\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"prev avg use and its sd are\",r5(currAvg),r5(currSD) )\n",
    "print(\"defining and displaying current unit use after most recent manipulations; compare to original farther above.\")\n",
    "unitUse = [0. for u in range(nUnits)]\n",
    "for t in range(nHDs):\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += nDistricts * HDweight[t]\n",
    "activeUnitDistro, activeUnitWeights = list(), list()\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] > 0.1:\n",
    "        activeUnitDistro.append(unitUse[u])\n",
    "        activeUnitWeights.append(unitPop[u]/statePop)\n",
    "plt.hist(activeUnitDistro, weights=activeUnitWeights, bins = 20, histtype = \"step\")\n",
    "#plt.show()\n",
    "currAvg, currSD = getWeightedAvgAndSD(activeUnitDistro, activeUnitWeights)\n",
    "print(\"current avg use and its sd are\",r5(currAvg),r5(currSD) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 190,
   "id": "96d97ec3-897e-4fe0-8ad6-371a1851a888",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "problemT = 1051\n",
    "plotPoly(hdCP[problemT].buffer(0.5))\n",
    "for u in HDunitList[problemT]:\n",
    "    plotPoly(unitGeom[u])\n",
    "eLists = getEnclaveLists(HDunitList[problemT], unitNbrs)\n",
    "print(len(eLists))\n",
    "for i, eL in enumerate(eLists):\n",
    "    for uu in eL:\n",
    "        plotPoly(unitGeom[uu],0.2)\n",
    "        plotCenter(i,unitGeom[uu])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 191,
   "id": "870f6de3-22a2-4ac6-a7f2-40e139889096",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "OK, OK, one more mustfree code on this guy\n",
      "this code will solve large enclaves so HD and complement are contiguous for 1 HDs\n",
      "working on HD 1051 cantFill 0 of 1 .Time is now 0\n",
      "after the MustFree code run, we have the following for cluster usage\n",
      "current avg use and its sd are 0.93172 0.12671\n",
      "CCB cluster 0 = unit 5210 with pop 238369.0 now has use of 0.9371673066559445\n",
      "CCB cluster 1 = unit 5211 with pop 118146.0 now has use of 1.0002247430116806\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"OK, OK, one more mustfree code on this guy\")\n",
    "\n",
    "#THIS IS THE MUSTFREE CODE - for high-pop HDs with map-border enclaves, can't fill; \n",
    "#  must jettison some inHD map-boundary units to connect the enclave to the larger complement\n",
    "#For each HD to be triaged, define the list(s) of contiguous enclave units that are on the map boundary, \n",
    "#  and the in-HD map-boundary segments.  ID which in-HD MBS's adjoin one vs. two enclaves.\n",
    "#     Fill all internal enclaves, and all boundary enclaves < 0.05 aDP.\n",
    "#   Then each loop, look for boundary enclaves that can be filled without overpopping.\n",
    "#     If none, pick the 1/2 has-1-boundary-enclave-neighbor that is least painful to jettison to free an enclave.\n",
    "#       (Jettison score based on pop-to-Free and distance from HDcP)\n",
    "#         Update HDpop, HDlist, and enclave & HD-boundary associations, then re-loop\n",
    "# Later, we will swell-fill to square up pop (w/ checkEnclave) biasing toward close-to-hdCP, underused\n",
    "borderSet = set(borderUnits)\n",
    "debug, debugPlot = False, False\n",
    "startTime = time.time()  #takes about 1.5sec per HD triage\n",
    "clusterJettisonBoost = 3.  #this discourages jettisoning of underused clusters\n",
    "print(\"this code will solve large enclaves so HD and complement are contiguous for\",len(cantFill),\"HDs\")\n",
    "nEnclavesPerHD = [0 for t in range(nHDs)]\n",
    "HDenclaveLists = [list() for t in range(nHDs)]\n",
    "for iii,t in enumerate([problemT]): #(cantFill):\n",
    "    if iii %20 == 0:\n",
    "        print(\"working on HD\",t,\"cantFill\",iii,\"of\",len(cantFill),\".Time is now\",int(time.time() - startTime) )\n",
    "    shedUs = list()    \n",
    "    enclaveLists = getEnclaveLists(HDunitList[t], unitNbrs)\n",
    "    nEnclavesPerHD[t] = len(enclaveLists)\n",
    "    HDenclaveLists[t] = enclaveLists.copy()\n",
    "    if debug:\n",
    "        print(\"pre-adjust HDpop for HD\",t,\"is\",HDvPop[t],\"I found\",len(enclaveLists),\"TOTAL enclaves\")\n",
    "    internalEnclaves, edgeEnclaves, combinedEnclBorderList = list(), list(), list()\n",
    "    for jjj, eL in enumerate(enclaveLists.copy() ):\n",
    "        enclaveBorderList = list ( set(eL).intersection(borderSet) )\n",
    "        if debug:\n",
    "            print(\"In enclave\",jjj,\"I found\",len(enclaveBorderList),\"units that were enclaved and are in the map borderSet\")\n",
    "        combinedEnclBorderList += enclaveBorderList\n",
    "        ePop = np.sum( [unitPop[u] for u in eL] )\n",
    "        if len(enclaveBorderList) == 0 or ePop < 0.05 * aDP:  #internal or small enclave.  Fill it\n",
    "            if ePop > 0:  #in a prev treatment, could be an empty (surrounded) unit that we don't care about\n",
    "                HDunitList[t] += eL\n",
    "                HDvPop[t] += ePop\n",
    "            internalEnclaves.append(eL)\n",
    "        else:\n",
    "            edgeEnclaves.append(eL)\n",
    "    if debug:\n",
    "        print(\"Of these\",len(internalEnclaves),\"were internal or small, so I filled them, leaving\",\n",
    "              len(edgeEnclaves),\"non-small border = edge enclaves\" )\n",
    "    if debugPlot:\n",
    "        print(\"Here is the original HD, internal enclaves ('x') and non-small border enclaves by enclave no\")\n",
    "        plotPoly(hdCP[t].buffer(0.3))\n",
    "        for u in HDunitList[t]:\n",
    "            if unitPop[u] > 0:\n",
    "                plotPoly(unitGeom[u],0.2)\n",
    "        for L in internalEnclaves:\n",
    "            for u in L:\n",
    "                if unitPop[u] > 0:\n",
    "                    plotPoly(unitGeom[u],1.5)\n",
    "                    plotCenter(\"x\",unitCP[u],8)\n",
    "        for L in edgeEnclaves: #############\n",
    "            for u in L:\n",
    "                if unitPop[u] > 0:\n",
    "                    plotPoly(unitGeom[u])\n",
    "                    #plotCenter(\"e\",unitCP[u],8)\n",
    "        #plotPoly(MAP,0.4)\n",
    "        #plt.show()\n",
    "    enclaveLists, combinedEnclBorderSet = list(), set(combinedEnclBorderList)\n",
    "    if len(edgeEnclaves) > 0:\n",
    "        # Now, we order by chain connectivity of HD and enclave sublists to be H0-E0-H1-E1 ... En-Hn+1\n",
    "        nonHDborderSet = borderSet.difference(  set(HDunitList[t]) )\n",
    "        nonHDlongBorderSet = nonHDborderSet.difference(combinedEnclBorderSet) #long=non HD boundary excluding enclaves\n",
    "        remainingEnclBorderSet = combinedEnclBorderSet.copy()\n",
    "        remainingHDborderSet =   borderSet.intersection(set(HDunitList[t]) )\n",
    "        #Now find the \"HDender\" unit which borders the non-enclave nonHD boundary, then find opp end of this HD bdry piece\n",
    "        HDender = list(set(getAdjoiners(nonHDlongBorderSet,unitNbrs)).intersection(remainingHDborderSet) )[0]\n",
    "        firstHDborderSet = getContigFromStarter(HDender,remainingHDborderSet,unitNbrs)\n",
    "        HDstarter = list(set(getAdjoiners(remainingEnclBorderSet,unitNbrs)).intersection(firstHDborderSet))[0]\n",
    "        HDborderSublists = [ list(firstHDborderSet) ]\n",
    "        unused = [1 for eL in edgeEnclaves]\n",
    "        eLadjoiners = [getAdjoiners(eL,unitNbrs) for eL in edgeEnclaves ]\n",
    "        for j in range(len(edgeEnclaves)): #find the enclave with the most HDstarter neighbors (at least 1)\n",
    "            found = False\n",
    "            for i,eL in enumerate(edgeEnclaves):\n",
    "                if unused[i] == 1:\n",
    "                    HDadjSet = set(HDborderSublists[j]).intersection(set(eLadjoiners[i]))\n",
    "                    if len(HDadjSet) > 0:\n",
    "                        unused[i] = 0\n",
    "                        eNo = i\n",
    "                        found = True\n",
    "                        remainingEnclBorderSet = remainingEnclBorderSet.difference(set(edgeEnclaves[eNo]) )\n",
    "                        enclaveLists.append(edgeEnclaves[eNo])\n",
    "                        remainingHDborderSet = remainingHDborderSet.difference(set(HDborderSublists[j]) )\n",
    "                        HDstarter = list(set(eLadjoiners[i]).intersection(remainingHDborderSet))[0]       \n",
    "                        HDborderSublists.append(getContigFromStarter(HDstarter,remainingHDborderSet,unitNbrs) )\n",
    "                        break\n",
    "                if found:\n",
    "                    break\n",
    "\n",
    "        enclavePops = [np.sum([unitPop[u] for u in L]) for L in enclaveLists]\n",
    "        #print(\"prior to adjustments, border enclavePops are\",enclavePops)         \n",
    "\n",
    "        nHDBS, nEnclaves = len(HDborderSublists), len(enclaveLists)\n",
    "        popToFree, freeingCounties, freeingUnits = [0. for n in range(nHDBS)], [list() for n in range(nHDBS) \n",
    "                                                                               ],[list() for n in range(nHDBS)]\n",
    "        for j,L in enumerate(HDborderSublists):\n",
    "            for u in L:\n",
    "                if int(allUnits[u]) == allUnits[u]:  #this border unit is a vtd\n",
    "                    c = countyNo[parentVTDno[allUnits[u]]]   #countyNo[allUnits[u]]\n",
    "                    if c not in freeingCounties[j]:\n",
    "                        if countyPop[c] < 0.1 * aDP:  #plan to add all in-county pop\n",
    "                            freeingCounties[j].append(c)\n",
    "                        else:\n",
    "                            popToFree[j] += unitPop[u]\n",
    "                            freeingUnits[j].append(u)\n",
    "                else: #border unit is a full county or cluster, or in a dense county.  Add the whole unit pop\n",
    "                    popToFree[j] += unitPop[u]\n",
    "                    freeingUnits[j].append(u)\n",
    "            for c in freeingCounties[j]:  #include ALL in-HD pop from each non-unit border county, not just its border units\n",
    "                #plotPoly(countyGeom[c],0.1)\n",
    "                for u in countyUnitList[c]:\n",
    "                    if u in HDunitList[t]:\n",
    "                        popToFree[j] += unitPop[u]\n",
    "                        freeingUnits[j].append(u)\n",
    "        freeingCP = [ getHDcp(  unitCP, unitPop, L) for L in freeingUnits ]\n",
    "        freeingScore = [ pTF/aDP - 0.5*freeingCP[j].distance(hdCP[t]) / avgDist[t] for j,pTF in enumerate(popToFree) ]\n",
    "        for j, fU in enumerate(freeingUnits):  #in above 0.5 is a fudgy\n",
    "            if len(barredJettisonSet.intersection(set(fU)) ) > 0: #has a cluster we want to hold onto\n",
    "                freeingScore[j] += clusterJettisonBoost #  ..so increase its score (make it harder to drop)\n",
    "        if debugPlot:\n",
    "            print(\"plotting the freeing units with negative numbers for each freeing group\")\n",
    "            for j,L in enumerate(freeingUnits):\n",
    "                for u in L:\n",
    "                    if unitPop[u] > 0:\n",
    "                        #plotPoly(unitGeom[u],0.5)\n",
    "                        plotCenter(\"-\"+str(j),unitGeom[u],6)\n",
    "                        pass\n",
    "            print(\"plotting the enclaveLists, with + numbers for each enclave\")\n",
    "            for j,L in enumerate(enclaveLists):\n",
    "                for u in L:\n",
    "                    if unitPop[u] > 0:\n",
    "                        plotPoly(unitGeom[u])\n",
    "                        plotCenter(j,unitCP[u],8)\n",
    "                        pass\n",
    "    \n",
    "    while len(enclaveLists) > 0:\n",
    "        if HDvPop[t] + np.min(enclavePops) < 1.05*aDP or np.min(enclavePops) < 0.05 * aDP:  #fill the smallest enclave\n",
    "            eNo = enclavePops.index(np.min(enclavePops))\n",
    "            HDunitList[t] += enclaveLists[eNo]\n",
    "            HDvPop[t] += enclavePops[eNo]\n",
    "            #print(t,\"=t. Absorbing enclave\",eNo,\"with pop\",enclavePops[eNo],\"HD total pop now\",int(HDfreePop[t]) )\n",
    "            enclaveBUs = list(set(enclaveLists[eNo]).intersection(set(borderUnits)) )\n",
    "            enclaveBpop = np.sum([unitPop[u] for u in enclaveBUs])\n",
    "            sNo, dropped_sNo = eNo, eNo+1\n",
    "            freeingScore[sNo] += freeingScore[sNo+1]+enclaveBpop/aDP\n",
    "            freeingUnits[sNo] += freeingUnits[sNo+1]+enclaveBUs\n",
    "            popToFree[sNo]    +=    popToFree[sNo+1]+enclaveBpop\n",
    "        else: #jettison one of the two end HD border lists; pick the less painful path to freedom\n",
    "            distList = [hdCP[t].distance(unitCP[u]) for u in HDunitList[t] ]\n",
    "            starterU = HDunitList[t][distList.index(np.min(distList))]\n",
    "            eNo, dropped_sNo = 0,0\n",
    "            if starterU not in freeingUnits[-1]:  #we can't drop the home unit, even to save an underused corner\n",
    "                if freeingScore[-1] < freeingScore[0] or starterU in freeingUnits[0]:\n",
    "                    eNo, dropped_sNo = len(enclaveLists)-1,len(enclaveLists)\n",
    "            barredIncluded0 = barredJettisonSet.intersection(set(freeingUnits[0]))\n",
    "            barredIncluded_1 = barredJettisonSet.intersection(set(freeingUnits[-1]))\n",
    "            #if len(barredIncluded0.union(barredIncluded_1)) > 0:\n",
    "            #    print(\"We are considering dropping an end unit to free from t\",t,\". Chosen, beg, end, scores are\")\n",
    "            #    print(dropped_sNo,barredIncluded0, barredIncluded_1, freeingScore[0], freeingScore[-1])\n",
    "            HDunitList[t] = list( set(HDunitList[t]).difference(set(freeingUnits[dropped_sNo]) ) )\n",
    "            HDvPop[t] -= popToFree[dropped_sNo]\n",
    "            #print(t,\"= t. Jettisoning HDborder\",dropped_sNo,\"with popToFree\",popToFree[dropped_sNo] )\n",
    "        del enclaveLists[eNo]\n",
    "        del enclavePops[eNo]\n",
    "        if debug:\n",
    "            print(t,\"= t. Now we have\",len(enclaveLists),\"left trapped.  Picked eNo, freeScores were\", eNo,freeingScore)\n",
    "        del freeingScore[dropped_sNo]\n",
    "        del freeingUnits[dropped_sNo]\n",
    "        del popToFree   [dropped_sNo] \n",
    "\n",
    "    #plotPoly(MAP,0.4)\n",
    "    if debugPlot:\n",
    "        plt.show()    \n",
    "        \n",
    "unitUse = [0.]*nUnits\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += HDweight[t]*nDistricts\n",
    "print(\"after the MustFree code run, we have the following for cluster usage\")\n",
    "activeUnitDistro, activeUnitWeights = list(), list()\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] > 0.1:\n",
    "        activeUnitDistro.append(unitUse[u])\n",
    "        activeUnitWeights.append(unitPop[u]/statePop)\n",
    "plt.hist(activeUnitDistro, weights=activeUnitWeights, bins = 20, histtype = \"step\")\n",
    "#plt.show()\n",
    "currAvg, currSD = getWeightedAvgAndSD(activeUnitDistro, activeUnitWeights)\n",
    "print(\"current avg use and its sd are\",r5(currAvg),r5(currSD) )\n",
    "for u, unitNo in enumerate(allUnits):\n",
    "    if unitNo % 1 == 0.25:\n",
    "        print(\"CCB cluster\",int(unitNo),\"= unit\",u,\"with pop\",unitPop[u],\"now has use of\",unitUse[u])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 192,
   "id": "a2242181-3a07-40b7-ae56-bbe47bd2dc79",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "final check -- any more disco's ?\n",
      "working on HD 0 time is now 0 sec\n",
      "working on HD 505 time is now 5 sec\n",
      "working on HD 1008 time is now 9 sec\n",
      "working on HD 1518 time is now 12 sec\n",
      "working on HD 2024 time is now 16 sec\n",
      "working on HD 2529 time is now 21 sec\n",
      "working on HD 3033 time is now 24 sec\n",
      "working on HD 3541 time is now 28 sec\n",
      "working on HD 4047 time is now 33 sec\n",
      "working on HD 4550 time is now 37 sec\n",
      "working on HD 5052 time is now 42 sec\n",
      "out of 5106 total HDs, there were 5098 8 0 0 HDs that were clean, discontig only, enclave-only, both problems after triage\n",
      "this took 43 seconds with maxLoop =  5\n"
     ]
    }
   ],
   "source": [
    "print(\"final check -- any more disco's ?\")\n",
    "maxLOOP = 5  #can increase to avoid false enclave detection\n",
    "discontigOnly, enclaveOnly, bothProblems, cleanList = list(), list(), list(), list()\n",
    "startTime = time.time()\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%500 == 0:\n",
    "        print(\"working on HD\",t,\"time is now\",int(time.time() - startTime),\"sec\")\n",
    "    unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(HDunitList[t], unitNbrs, maxLOOP)\n",
    "    if not noEnclave:\n",
    "        noEnclave, enclaveList = isContiguous(list({u for u in range(nUnits)}.difference(set(HDunitList[t]))),unitNbrs)\n",
    "    if unbroken and noEnclave:\n",
    "        cleanList.append(t)\n",
    "    if unbroken and not noEnclave:\n",
    "        enclaveOnly.append(t)\n",
    "    if not unbroken and noEnclave:\n",
    "        discontigOnly.append(t)\n",
    "    if not unbroken and not noEnclave:\n",
    "        bothProblems.append(t)\n",
    "print(\"out of\",len(popHDlist),\"total HDs, there were\",len(cleanList),len(discontigOnly),len(enclaveOnly),\n",
    "      len(bothProblems),\"HDs that were clean, discontig only, enclave-only, both problems after triage\")\n",
    "print(\"this took\",int(time.time() - startTime),\"seconds with maxLoop = \", maxLOOP)\n",
    "#3-2-24 FL timing 5-> 214s, 368; 4 --> 130s, 4xx; 3-> 76s, 470; 6 -> 329s, 275 ; 2 with full check --> 810sec, only 2 discontig"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 193,
   "id": "de4d8af8-cc64-4215-9b95-f4c6a2bd03af",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "savedUnitList = [HDunitList[t].copy() for t in range(nHDs)]  #safekeeping"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 197,
   "id": "f09de626-f29c-411d-afde-86e3ba63dc54",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "discontig 1051 has contig pop - aDP = -249438\n",
      "  the complement of the contigU set's contiguity is True\n",
      "FAIL - must triage 1051 AGAIN\n",
      "discontig 1099 has contig pop - aDP = -515057\n",
      "  the complement of the contigU set's contiguity is True\n",
      "FAIL - must triage 1099 AGAIN\n",
      "discontig 1122 has contig pop - aDP = -497707\n",
      "  the complement of the contigU set's contiguity is True\n",
      "FAIL - must triage 1122 AGAIN\n",
      "discontig 2649 has contig pop - aDP = 905\n",
      "  the complement of the contigU set's contiguity is True\n",
      "shrinking 2649 HD list to the contiguous portion\n",
      "discontig 2727 has contig pop - aDP = -315\n",
      "  the complement of the contigU set's contiguity is True\n",
      "shrinking 2727 HD list to the contiguous portion\n",
      "discontig 2789 has contig pop - aDP = 642\n",
      "  the complement of the contigU set's contiguity is True\n",
      "shrinking 2789 HD list to the contiguous portion\n",
      "discontig 3143 has contig pop - aDP = -499628\n",
      "  the complement of the contigU set's contiguity is True\n",
      "FAIL - must triage 3143 AGAIN\n",
      "discontig 3150 has contig pop - aDP = -497522\n",
      "  the complement of the contigU set's contiguity is True\n",
      "FAIL - must triage 3150 AGAIN\n"
     ]
    }
   ],
   "source": [
    "BADlist = list()\n",
    "for t in discontigOnly.copy():\n",
    "    starterU = HDunitList[t][0]\n",
    "    contigUs = getContigFromStarter(starterU, HDunitList[t], unitNbrs)\n",
    "    POP = np.sum([unitPop[u] for u in contigUs])\n",
    "    print(\"discontig\",t,\"has contig pop - aDP =\",int(POP-aDP) )\n",
    "    complementContig, _ = isContiguous(list(set([u for u in range(nUnits)]).difference(set(contigUs)) ), unitNbrs )\n",
    "    print(\"  the complement of the contigU set's contiguity is\",complementContig)\n",
    "    if abs(POP - aDP) / aDP < 0.02 and complementContig:\n",
    "        HDunitList[t] = contigUs.copy()\n",
    "        print(\"shrinking\",t,\"HD list to the contiguous portion\")\n",
    "        HDvPop[t] = POP\n",
    "    else:\n",
    "        print(\"FAIL - must triage\",t,\"AGAIN\")\n",
    "        BADlist.append(t)\n",
    "unitUse = [0.]*nUnits\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += HDweight[t]*nDistricts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 199,
   "id": "15ff2296-3f2f-4444-8883-cdbc3e7b6619",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bad HD 1051 has pop 524989.24034394\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bad HD 1099 has pop 753875.088094364\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bad HD 1122 has pop 756055.8246699052\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bad HD 3143 has pop 753306.6008110798\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bad HD 3150 has pop 756847.0143689956\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for t in BADlist:\n",
    "    POP = np.sum([unitPop[u] for u in HDunitList[t]])\n",
    "    print(\"bad HD\",t,\"has pop\", POP)\n",
    "    for u in HDunitList[t]:\n",
    "        plotPoly(unitGeom[u])\n",
    "    plotPoly(hdCP[t].buffer(0.5))\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 208,
   "id": "026376f8-a786-4b1a-92f7-c9b031d02bf9",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1099 contiguity is now True\n",
      "1099 updated pop is now / aDP 1.00541\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1122 contiguity is now True\n",
      "1122 updated pop is now / aDP 1.00694\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3143 contiguity is now True\n",
      "3143 updated pop is now / aDP 1.00329\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3150 contiguity is now True\n",
      "3150 updated pop is now / aDP 1.00626\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for t in BADlist[1: ] :  #skipping 1051\n",
    "    borderBridgers, bridgeStarters = list(), list()\n",
    "    for u in set(HDunitList[t]).intersection(borderSet) :\n",
    "        borderNeighbors = list((set(unitNbrs[u]).intersection(borderSet)).difference(set(HDunitList[t]) ) )\n",
    "        nBorderNeighbors = len(borderNeighbors  )\n",
    "        if nBorderNeighbors == 1:  #this is an \"open\" HD border unit that adjoins a non-HD border\n",
    "            borderBridgers.append(u)\n",
    "            bridgeStarters.append(borderNeighbors[0])\n",
    "    foundBridge = False\n",
    "    bridgeChains = [[u, bridgeStarters[i]] for i,u in enumerate(borderBridgers)]\n",
    "    while not foundBridge:\n",
    "        for i, chain in enumerate(bridgeChains):\n",
    "            u = chain[-1]\n",
    "            newLink = list( set(unitNbrs[u]).intersection(borderSet.difference(bridgeChains[i]) ) )[0]\n",
    "            if newLink in HDunitList[t]:\n",
    "                foundBridge = True\n",
    "                addedList = bridgeChains[i].copy()\n",
    "                break\n",
    "            else:\n",
    "                bridgeChains[i].append(newLink )\n",
    "    for u in HDunitList[t]:\n",
    "        plotPoly(unitGeom[u],0.3)\n",
    "    for u in addedList:\n",
    "        plotPoly(unitGeom[u],1.5)\n",
    "    plotPoly(hdCP[t].buffer(0.5))\n",
    "    newList = list(set(HDunitList[t]).union(set(addedList)) )\n",
    "    contig = isContiguous(newList,unitNbrs)[0]\n",
    "    print(t,\"contiguity is now\", contig)\n",
    "    if contig:\n",
    "        HDunitList[t] = newList.copy()\n",
    "        HDvPop[t] = np.sum([unitPop[u] for u in HDunitList[t] ])\n",
    "        print(t, \"updated pop is now / aDP\",r5(HDvPop[t] / aDP) )\n",
    "    plt.show()\n",
    "unitUse = [0. for u in range(nUnits)]\n",
    "for t in range(nHDs):\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += HDweight[t] * nDistricts\n",
    "        \n",
    "        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 209,
   "id": "25f348d7-38fb-4983-9d04-e7a74d306ab4",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1051 has 0 enclave lists after triage fill-in with pop gap 915.9119534499769 . The total enclave pop is 0.0\n",
      "  I filled in enclaves for HD 1051 . Now it has 0 enclaves\n",
      "final pop of HD 1051 is 753031.6436021056 vs aDP 753947.5555555555\n"
     ]
    }
   ],
   "source": [
    "badTs = [1051]\n",
    "for loopI,t in enumerate(badTs):  #we'll worry about enclaves at the end*******\n",
    "    notInCluster = True\n",
    "    for jj, geo in enumerate(CCBgeom):  #swell in-corner HDs from the corner cluster\n",
    "        if geo.contains(hdCP[t]):\n",
    "            starterU = allUnits.index(jj+0.25)\n",
    "            notInCluster = False\n",
    "    if notInCluster:\n",
    "        distList = [hdCP[t].distance(unitCP[u]) for u in HDunitList[t] ]\n",
    "        starterU = HDunitList[t][distList.index(np.min(distList))]  #starter = unit with centroid closest to the hd center\n",
    "    contigUs = getContigFromStarter(starterU, HDunitList[t],unitNbrs) #[starterU]  #use [starterU] if this is fast enough\n",
    "    contigPop = np.sum( [ unitPop[u] for u in contigUs ] )\n",
    "    gap = aDP - contigPop\n",
    "    origGap = gap\n",
    "    currList, addedList, cAIloop = contigUs.copy(), list(), 0\n",
    "    while gap > maxGap:\n",
    "        candidates = list( set(getAdjoiners(currList,unitNbrs)).difference(borderSet) ) #avoid borders to avoid edge enclaves\n",
    "        dists = [unitCP[u].distance(hdCP[t]) for u in candidates]\n",
    "        newU = candidates[dists.index(np.min(dists))]\n",
    "        addedList.append(newU)\n",
    "        currList.append(newU)\n",
    "        gap -= unitPop[newU]\n",
    "    eLists = getEnclaveLists(currList, unitNbrs)\n",
    "    ePop = np.sum([np.sum([unitPop[u] for u in eL]) for eL in eLists])\n",
    "    print(t,\"has\",len(eLists),\"enclave lists after triage fill-in with pop gap\",gap,\". The total enclave pop is\",ePop )\n",
    "    if ePop < 0.02 * aDP:\n",
    "        for eL in eLists:\n",
    "            addedList += eL\n",
    "            currList += eL\n",
    "        eLists = getEnclaveLists(currList, unitNbrs)\n",
    "        print(\"  I filled in enclaves for HD\",t,\". Now it has\",len(eLists),\"enclaves\")\n",
    "        for u in addedList:\n",
    "            unitUse[u] += HDweight[t] * nDistricts\n",
    "        for u in list( set(HDunitList[t]).difference(set(contigUs)) ):\n",
    "            unitUse[u] -= HDweight[t] * nDistricts       \n",
    "        HDunitList[t] = contigUs + addedList\n",
    "        HDvPop[t]    = np.sum( [unitPop[u] for u in HDunitList[t] ] )\n",
    "        print(\"final pop of HD\",t,\"is\",HDvPop[t],\"vs aDP\",aDP)\n",
    "    else:\n",
    "        print(\"  Sorry, the ePop\",ePop,\"is too big to fill\")    \n",
    "        \n",
    "        \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 210,
   "id": "f3bcd6a8-40b6-4764-a0d1-6814e3286cb8",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "checking on our corner clusters and unit county usage\n",
      "usage, unit no, unit pop, type (0.5 = unit county, 0.25 = cluster) ...\n",
      "1.03779     0     8719 0.5\n",
      "1.07634     1     12112 0.5\n",
      "0.99395     2     10526 0.5\n",
      "1.05548     3     9812 0.5\n",
      "1.03546     4     13830 0.5\n",
      "1.01021     5     5940 0.5\n",
      "1.04778     6     12250 0.5\n",
      "1.27386     7     12514 0.5\n",
      "1.01946     8     9737 0.5\n",
      "0.88769     9     7087 0.5\n",
      "0.91389     10     8440 0.5\n",
      "0.93717     5210     238369 0.25\n",
      "1.00022     5211     118146 0.25\n"
     ]
    }
   ],
   "source": [
    "print(\"checking on our corner clusters and unit county usage\")\n",
    "print(\"usage, unit no, unit pop, type (0.5 = unit county, 0.25 = cluster) ...\")\n",
    "for u in range(nUnits):\n",
    "    if int(allUnits[u]) != allUnits[u] :\n",
    "        print(r5(unitUse[u]),\"   \",u,\"   \",int(unitPop[u]), allUnits[u]%1 )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 211,
   "id": "1e983c03-777a-4e81-bed0-34a620175f83",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "let's visualize over-used and underused units, < 0.75 or > 1.25\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "and here is the histogram of HD pops\n"
     ]
    },
    {
     "data": {
      "image/png": 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uLpYkxcTE+B2PiYnx3VdcXKyWLVuqXbt2V5yJjo6u8fjR0dG+mUvNnz/f9/wZt9ut+Pj4Wu8HAAA0XfXy6iSXy+X3seM4NY5d6tKZy81f6XFmzZolr9frux09ejSIlQMAACvqNGJiY2MlqcbVkpKSEt/VmdjYWFVVVam0tPSKM8ePH6/x+CdOnKhxleeisLAwRURE+N0AAEDzVacR06VLF8XGxionJ8d3rKqqSrm5uUpLS5MkJScnq0WLFn4zRUVF2r17t28mNTVVXq9XH3/8sW/mo48+ktfr9c0AAIBrW2ign3DmzBl9+eWXvo8PHTqkgoICRUZG6sYbb1RGRobmzZunhIQEJSQkaN68eWrTpo3GjBkjSXK73Ro3bpymTZumqKgoRUZGavr06UpKStLAgQMlSd27d9fQoUM1YcIEvfrqq5KkRx99VMOHD7+qVyYBAIDmL+CI2bVrl/r37+/7eOrUqZKksWPHKjMzUzNmzFBFRYUmTZqk0tJSpaSkKDs7W23btvV9zuLFixUaGqpRo0apoqJCAwYMUGZmpkJCQnwzq1at0pQpU3yvYho5cuR3vjcNAAC49tTqfWKaMt4nBmgaeJ8YAIFotPeJAQAAaChEDAAAMImIAQAAJhExAADApIBfnQQA9eVKTwLmSb8ALsWVGAAAYBIRAwAATCJiAACASUQMAAAwiYgBAAAmETEAAMAkIgYAAJhExAAAAJOIGAAAYBIRAwAATCJiAACASUQMAAAwiYgBAAAmETEAAMAkIgYAAJhExAAAAJOIGAAAYBIRAwAATCJiAACASUQMAAAwiYgBAAAmETEAAMAkIgYAAJhExAAAAJOIGAAAYBIRAwAATCJiAACASUQMAAAwiYgBAAAmETEAAMCk0MZeAABbOs/c2NhLAABJXIkBAABGETEAAMAkIgYAAJhExAAAAJOIGAAAYBIRAwAATCJiAACASUQMAAAwiYgBAAAmETEAAMAkIgYAAJhExAAAAJOIGAAAYBIRAwAATCJiAACASUQMAAAwiYgBAAAmETEAAMAkIgYAAJhExAAAAJOIGAAAYBIRAwAATCJiAACASUQMAAAwiYgBAAAmETEAAMAkIgYAAJhExAAAAJOIGAAAYBIRAwAATCJiAACASXUeMXPmzJHL5fK7xcbG+u53HEdz5syRx+NR69at1a9fP+3Zs8fvMSorKzV58mS1b99e4eHhGjlypAoLC+t6qQAAwLB6uRLzwx/+UEVFRb7bp59+6rtvwYIFWrRokZYsWaKdO3cqNjZWgwYNUnl5uW8mIyNDWVlZWrt2rbZu3aozZ85o+PDhunDhQn0sFwAAGBRaLw8aGup39eUix3H04osvavbs2br//vslSX/5y18UExOj1atXa+LEifJ6vVq2bJlWrlypgQMHSpJef/11xcfH65133tGQIUPqY8kAAMCYerkSs3//fnk8HnXp0kU///nPdfDgQUnSoUOHVFxcrMGDB/tmw8LC1LdvX23btk2SlJeXp3PnzvnNeDweJSYm+mYup7KyUmVlZX43AADQfNV5xKSkpGjFihV6++239dprr6m4uFhpaWk6deqUiouLJUkxMTF+nxMTE+O7r7i4WC1btlS7du2+c+Zy5s+fL7fb7bvFx8fX8c4AAEBTUucRM2zYMD3wwANKSkrSwIEDtXHjRknf/tjoIpfL5fc5juPUOHap75uZNWuWvF6v73b06NFa7AIAADR19f4S6/DwcCUlJWn//v2+58lcekWlpKTEd3UmNjZWVVVVKi0t/c6ZywkLC1NERITfDQAANF/1HjGVlZXau3ev4uLi1KVLF8XGxionJ8d3f1VVlXJzc5WWliZJSk5OVosWLfxmioqKtHv3bt8MAABAnb86afr06RoxYoRuvPFGlZSU6Nlnn1VZWZnGjh0rl8uljIwMzZs3TwkJCUpISNC8efPUpk0bjRkzRpLkdrs1btw4TZs2TVFRUYqMjNT06dN9P54CAACQ6iFiCgsL9Ytf/EInT55Uhw4d1Lt3b+3YsUOdOnWSJM2YMUMVFRWaNGmSSktLlZKSouzsbLVt29b3GIsXL1ZoaKhGjRqliooKDRgwQJmZmQoJCanr5QIAAKNcjuM4jb2I+lBWVia32y2v18vzY4A61Hnmxkb5uoefu7dRvi6AhhXI39/87iQAAGASEQMAAEwiYgAAgElEDAAAMImIAQAAJhExAADAJCIGAACYRMQAAACTiBgAAGASEQMAAEwiYgAAgElEDAAAMImIAQAAJoU29gIAXL3G+g3SANAUcSUGAACYRMQAAACTiBgAAGASEQMAAEwiYgAAgElEDAAAMImIAQAAJhExAADAJCIGAACYRMQAAACTiBgAAGASEQMAAEziF0ACMOHSX355+Ll7G2klAJoKrsQAAACTiBgAAGASEQMAAEwiYgAAgElEDAAAMImIAQAAJhExAADAJCIGAACYRMQAAACTiBgAAGASEQMAAEwiYgAAgElEDAAAMImIAQAAJhExAADAJCIGAACYFNrYCwCAYHSeubHGscPP3dsIKwHQWLgSAwAATCJiAACASUQMAAAwiYgBAAAmETEAAMAkIgYAAJjES6wBNBuXe9m1xEuvgeaKKzEAAMAkIgYAAJhExAAAAJOIGAAAYBIRAwAATCJiAACASUQMAAAwiYgBAAAm8WZ3AJq973oTvO/Cm+MBNhAxAFALgQZSfSG8cC3ix0kAAMAkIgYAAJhExAAAAJN4TkyQmsrPwdH08NwE+/jzDdjAlRgAAGBSk4+YV155RV26dFGrVq2UnJysDz74oLGXBAAAmoAmHTHr1q1TRkaGZs+erfz8fPXp00fDhg3TkSNHGntpAACgkTXpiFm0aJHGjRun8ePHq3v37nrxxRcVHx+vpUuXNvbSAABAI2uyT+ytqqpSXl6eZs6c6Xd88ODB2rZtW435yspKVVZW+j72er2SpLKysnpZX3XlN/XyuLDvxt+sb+wl4BpUX+c6oKFd/G/ZcZzvnW2yEXPy5ElduHBBMTExfsdjYmJUXFxcY37+/PmaO3dujePx8fH1tkYAaCrcLzb2CoC6VV5eLrfbfcWZJhsxF7lcLr+PHcepcUySZs2apalTp/o+rq6u1tdff62oqKjLztdGWVmZ4uPjdfToUUVERNTpYzdF19J+r6W9Suy3uWO/zVdz3qvjOCovL5fH4/ne2SYbMe3bt1dISEiNqy4lJSU1rs5IUlhYmMLCwvyO/eAHP6jPJSoiIqLZ/cdzJdfSfq+lvUrst7ljv81Xc93r912BuajJPrG3ZcuWSk5OVk5Ojt/xnJwcpaWlNdKqAABAU9Fkr8RI0tSpU5Wenq5evXopNTVVf/rTn3TkyBE99thjjb00AADQyJp0xIwePVqnTp3S//3f/6moqEiJiYnatGmTOnXq1KjrCgsL0zPPPFPjx1fN1bW032tprxL7be7Yb/N1Le31SlzO1byGCQAAoIlpss+JAQAAuBIiBgAAmETEAAAAk4gYAABgEhHzHV555RV16dJFrVq1UnJysj744IMrzufm5io5OVmtWrXSTTfdpD/+8Y8NtNLaC2Svb775pgYNGqQOHTooIiJCqampevvttxtwtbUX6Pf2og8//FChoaH60Y9+VL8LrGOB7reyslKzZ89Wp06dFBYWpptvvll//vOfG2i1tRfofletWqWePXuqTZs2iouL0yOPPKJTp0410GqDt2XLFo0YMUIej0cul0sbNmz43s+xfJ4KdL/Wz1XBfH8vsnquCgYRcxnr1q1TRkaGZs+erfz8fPXp00fDhg3TkSNHLjt/6NAh3XPPPerTp4/y8/P11FNPacqUKfrrX//awCsPXKB73bJliwYNGqRNmzYpLy9P/fv314gRI5Sfn9/AKw9OoPu9yOv16qGHHtKAAQMaaKV1I5j9jho1Sv/617+0bNky7du3T2vWrNEtt9zSgKsOXqD73bp1qx566CGNGzdOe/bs0fr167Vz506NHz++gVceuLNnz6pnz55asmTJVc1bPk9Jge/X+rkq0P1eZPVcFTQHNdxxxx3OY4895nfslltucWbOnHnZ+RkzZji33HKL37GJEyc6vXv3rrc11pVA93o5PXr0cObOnVvXS6sXwe539OjRztNPP+0888wzTs+ePetxhXUr0P3+85//dNxut3Pq1KmGWF6dC3S/v//9752bbrrJ79hLL73kdOzYsd7WWB8kOVlZWVecsXyeutTV7PdyLJ2r/lcg+7V6rgoWV2IuUVVVpby8PA0ePNjv+ODBg7Vt27bLfs727dtrzA8ZMkS7du3SuXPn6m2ttRXMXi9VXV2t8vJyRUZG1scS61Sw+12+fLkOHDigZ555pr6XWKeC2e9bb72lXr16acGCBbrhhhvUtWtXTZ8+XRUVFQ2x5FoJZr9paWkqLCzUpk2b5DiOjh8/rjfeeEP33ntvQyy5QVk9T9UVS+eqYFk9V9VGk37H3sZw8uRJXbhwocYvmYyJianxyygvKi4uvuz8+fPndfLkScXFxdXbemsjmL1eauHChTp79qxGjRpVH0usU8Hsd//+/Zo5c6Y++OADhYba+uMSzH4PHjyorVu3qlWrVsrKytLJkyc1adIkff31103+eTHB7DctLU2rVq3S6NGj9d///lfnz5/XyJEj9Yc//KEhltygrJ6n6oqlc1UwLJ+raoMrMd/B5XL5few4To1j3zd/ueNNUaB7vWjNmjWaM2eO1q1bp+jo6PpaXp272v1euHBBY8aM0dy5c9W1a9eGWl6dC+T7W11dLZfLpVWrVumOO+7QPffco0WLFikzM9PE1RgpsP1+9tlnmjJlin73u98pLy9Pmzdv1qFDh5rt72ezfJ6qDavnqqvVXM5Vwbh2cu0qtW/fXiEhITX+z62kpKTG/8VcFBsbe9n50NBQRUVF1dtaayuYvV60bt06jRs3TuvXr9fAgQPrc5l1JtD9lpeXa9euXcrPz9cTTzwh6du/5B3HUWhoqLKzs3X33Xc3yNqDEcz3Ny4uTjfccIPcbrfvWPfu3eU4jgoLC5WQkFCva66NYPY7f/583Xnnnfrtb38rSbr11lsVHh6uPn366Nlnn21WVyesnqdqy+K5KlDWz1W1wZWYS7Rs2VLJycnKycnxO56Tk6O0tLTLfk5qamqN+ezsbPXq1UstWrSot7XWVjB7lb79v5qHH35Yq1evNvXcgUD3GxERoU8//VQFBQW+22OPPaZu3bqpoKBAKSkpDbX0oATz/b3zzjt17NgxnTlzxnfsiy++0HXXXaeOHTvW63prK5j9fvPNN7ruOv/TYEhIiKT/f5WiubB6nqoNq+eqQFk/V9VK4zyfuGlbu3at06JFC2fZsmXOZ5995mRkZDjh4eHO4cOHHcdxnJkzZzrp6em++YMHDzpt2rRxfvOb3zifffaZs2zZMqdFixbOG2+80VhbuGqB7nX16tVOaGio8/LLLztFRUW+2+nTpxtrCwEJdL+XsvaM/0D3W15e7nTs2NF58MEHnT179ji5ublOQkKCM378+MbaQkAC3e/y5cud0NBQ55VXXnEOHDjgbN261enVq5dzxx13NNYWrlp5ebmTn5/v5OfnO5KcRYsWOfn5+c5XX33lOE7zOk85TuD7tX6uCnS/l7J2rgoWEfMdXn75ZadTp05Oy5YtnR//+MdObm6u776xY8c6ffv29Zt///33ndtuu81p2bKl07lzZ2fp0qUNvOLgBbLXvn37OpJq3MaOHdvwCw9SoN/b/2XxxBDofvfu3esMHDjQad26tdOxY0dn6tSpzjfffNPAqw5eoPt96aWXnB49ejitW7d24uLinF/+8pdOYWFhA686cO+9994V/yw2t/NUoPu1fq4K5vv7vyyeq4Lhcpxmds0UAABcE3hODAAAMImIAQAAJhExAADAJCIGAACYRMQAAACTiBgAAGASEQMAAEwiYgAAQEC2bNmiESNGyOPxyOVyacOGDQE/huM4euGFF9S1a1eFhYUpPj5e8+bNC+gx+AWQAAAgIGfPnlXPnj31yCOP6IEHHgjqMX79618rOztbL7zwgpKSkuT1enXy5MmAHoN37AUAAEFzuVzKysrSfffd5ztWVVWlp59+WqtWrdLp06eVmJio559/Xv369ZMk7d27V7feeqt2796tbt26Bf21+XESAACoU4888og+/PBDrV27Vp988ol+9rOfaejQodq/f78k6e9//7tuuukm/eMf/1CXLl3UuXNnjR8/Xl9//XVAX4eIAQAAdebAgQNas2aN1q9frz59+ujmm2/W9OnTddddd2n58uWSpIMHD+qrr77S+vXrtWLFCmVmZiovL08PPvhgQF+L58QAAIA68+9//1uO46hr165+xysrKxUVFSVJqq6uVmVlpVasWOGbW7ZsmZKTk7Vv376r/hETEQMAAOpMdXW1QkJClJeXp5CQEL/7rr/+eklSXFycQkND/UKne/fukqQjR44QMQAAoOHddtttunDhgkpKStSnT5/Lztx55506f/68Dhw4oJtvvlmS9MUXX0iSOnXqdNVfi1cnAQCAgJw5c0ZffvmlpG+jZdGiRerfv78iIyN144036le/+pU+/PBDLVy4ULfddptOnjypd999V0lJSbrnnntUXV2t22+/Xddff71efPFFVVdX6/HHH1dERISys7Oveh1EDAAACMj777+v/v371zg+duxYZWZm6ty5c3r22We1YsUK/ec//1FUVJRSU1M1d+5cJSUlSZKOHTumyZMnKzs7W+Hh4Ro2bJgWLlyoyMjIq14HEQMAAEziJdYAAMAkIgYAAJhExAAAAJOIGAAAYBIRAwAATCJiAACASUQMAAAwiYgBAAAmETEAAMAkIgYAAJhExAAAAJOIGAAAYNL/A7rULysUTWuyAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "minUnitUse, maxUnitUse = 0.75, 1.25\n",
    "print(\"let's visualize over-used and underused units, <\",minUnitUse,\"or >\",maxUnitUse)\n",
    "unitUse = [0. for u in range(nUnits)]\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += HDweight[t] * nDistricts\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] < minUnitUse:\n",
    "        plotPoly(unitGeom[u],0.2)\n",
    "        plotCenter(\"u\",unitCP[u])\n",
    "    if unitUse[u] > maxUnitUse:\n",
    "        plotPoly(unitGeom[u], 1.5)\n",
    "plotPoly(MAP,0.2)\n",
    "plt.show()\n",
    "print(\"and here is the histogram of HD pops\")\n",
    "plt.hist([HDvPop[t] for t in popHDlist],bins = [0, 0.6*aDP, 0.7*aDP, 0.85*aDP, 0.9*aDP, 0.95*aDP,\n",
    "         0.98*aDP, aDP, 1.02*aDP, 1.05*aDP, 1.1*aDP, 1.15*aDP, 1.3*aDP, 1.5*aDP, 2.0*aDP])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 212,
   "id": "04cfc75f-ee0d-4299-8236-8a8250a1bfc3",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "quick classification: who has contiguity problems?\n",
      "working on HD 0 time is now 0\n",
      "working on HD 1008 time is now 8\n",
      "working on HD 2024 time is now 16\n",
      "working on HD 3033 time is now 23\n",
      "working on HD 4047 time is now 31\n",
      "working on HD 5052 time is now 40\n",
      "out of 5106 total HDs, there were 5106.0 contiguous and 5106.0 complement-contiguous HDs\n",
      "0 HDs had both discontiguity problems, while enclave-only = 0 and discontig only= 0\n",
      "here are the histograms of the small piece and enclave list lengths, total no = 0 0\n"
     ]
    },
    {
     "data": {
      "image/png": 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44YeVlZWlDh06aPz48Vq3bl2d97E+sAcHANAgVFRUSDp9iKlly5ZOy7y9vZ3ee3p6Ov59Zq/Jmfa+vr413ub+/ft1xx13aMyYMZo1a5aaNWumzz77TKNGjVJpaakkycvLS/fee6/efvttDR06VG+//bYSEhLUuHFjx3ZjYmIqHcaSpBYtWtS4L2dr1Oj0/gfLshxlZ/rzW9X9LWqiR48eys7O1ocffqj169fr/vvv12233eZ07pM7IuAAABqEzp07y9vbWzk5OU6Ho2rr6quv1scff6z/+q//Om/dHTt2qKysTC+99JIjVPz973+vVG/48OGKj4/X7t27tXHjRs2aNcuxrEePHlq+fLlCQkIUGBh4wf0+25lglJubq+7du0tSndzLxsvLS+Xl5ZXKAwMDlZCQoISEBN17773q16+f/vOf/6hZs2YXvc36QsABADQIAQEBmjhxoiZMmKCKigrdcMMNKigo0JYtW+Tv76+RI0fWaD3Tp0/Xrbfeqnbt2mno0KEqKyvThx9+6Dhx+Gzt2rVTWVmZ/vKXv+iuu+7S559/rldffbVSvT59+ig0NFTDhw9XVFSUrr/+esey4cOH64UXXtDAgQM1c+ZMtWrVSjk5OVqxYoWefPJJtWrVqtZ/C19fX11//fV67rnnFBUVpSNHjujpp5+u9Xp+KyoqSh999JH27t2r5s2by263Ky0tTeHh4brmmmvUqFEjvfvuuwoLC3PpDQgvBQIOAFyOjvy7QW5j1qxZCgkJUWpqqn744QcFBQWpR48eeuqpp2q8jptuuknvvvuuZs2apeeee06BgYG68cYbq6x7zTXXaO7cuXr++ec1depU3XjjjUpNTdVDDz3kVM9ms2nYsGF64YUX9Kc//clpmZ+fnz755BNNnjxZgwcPVmFhoVq2bKlbb731ovboLF68WI888ohiY2PVoUMHzZkz56JPWE5MTNSmTZsUGxurEydOaOPGjfL399fzzz+vffv2ycPDQ9dee63WrFnj2KPlrmzW2Qf4LhMFBQWy2+3Kz8+vs92JANCQnDp1StnZ2YqOjna+moY7GaOBO+dnV7X7/WYPDgBcToIiTweOy/hZVLg8XJKAs2DBAr3wwgvKzc3VVVddpXnz5ql3797nrL9582YlJydr9+7dioiI0KRJkzRmzJgq6y5btkzDhg3TwIEDL4tnawDARQuKJHTAeC4/wLZ8+XIlJSVp2rRpyszMVO/evdW/f3/l5ORUWT87O1t33HGHevfurczMTD311FMaP36844ZKZ9u/f78mTpxYbVgCAACXH5cHnLlz52rUqFEaPXq0OnXqpHnz5ikyMlKvvPJKlfVfffVVtW7dWvPmzVOnTp00evRoPfLII3rxxRed6pWXl2v48OGaMWOG2rZt6+phAAAAN+LSgFNSUqKdO3dWOus7Pj5eW7ZsqbJNRkZGpfq33367duzY4XSTo5kzZ6pFixYaNWrUeftRXFysgoICpxcAADCXSwPOkSNHVF5ertDQUKfy0NBQ5eXlVdkmLy+vyvplZWU6cuSIJOnzzz/XokWLtHDhwhr1IzU1VXa73fGKjOTYM4DLw2V4oSzcXF19Zi/JRe5nbh19hmVZlcrOV/9MeWFhoR588EEtXLhQwcHBNdr+1KlTlZ+f73gdOHCgliMAAPdy5vb9RUWX6HJwoI6ceQK7h4fHRa3HpVdRBQcHy8PDo9LemkOHDlXaS3NGWFhYlfUbN26s5s2ba/fu3frxxx911113OZafeeZG48aNtXfvXrVr186pvbe3d6XnmACAyTw8PBQUFOR46KKfn1+1/7EEGoKKigodPnxYfn5+jmd9XSiXBhwvLy/FxMQoPT1d99xzj6M8PT1dAwcOrLJNXFyc/vnPfzqVrVu3TrGxsfL09FTHjh21a9cup+VPP/20CgsL9T//8z8cfgKA/xMWFiapdk+WBupbo0aN1Lp164sO5C6/D05ycrJGjBih2NhYxcXF6fXXX1dOTo7jvjZTp07Vzz//rDfffFOSNGbMGKWlpSk5OVmJiYnKyMjQokWL9M4770iSfHx81KVLF6dtnHlexm/LAeByZrPZFB4erpCQkHM+iRpoaLy8vOrkMREuDzgJCQk6evSoZs6cqdzcXHXp0kVr1qxRmzZtJJ1+UurZ98SJjo7WmjVrNGHCBL388suKiIjQ/PnzNWTIEFd3FQCM5OHhcdHnMwDuhmdR8SwqAADcQm1+v937UaEAAABVIOAAAADjEHAAAIBxCDgAAMA4BBwAAGAcAg4AADAOAQcAABiHgAMAAIxDwAEAAMYh4AAAAOMQcAAAgHEIOAAAwDgEHAAAYBwCDgAAMA4BBwAAGIeAAwAAjEPAAQAAxiHgAAAA4xBwAACAcQg4AADAOAQcAABgHAIOAAAwDgEHAAAYh4ADAACMQ8ABAADGIeAAAADjEHAAAIBxCDgAAMA4BBwAAGAcAg4AADAOAQcAABiHgAMAAIxDwAEAAMYh4AAAAOMQcAAAgHEIOAAAwDgEHAAAYBwCDgAAMA4BBwAAGIeAAwAAjEPAAQAAxiHgAAAA4xBwAACAcQg4AADAOAQcAABgHAIOAAAwDgEHAAAYh4ADAACMQ8ABAADGIeAAAADjEHAAAIBxCDgAAMA4BBwAAGAcAg4AADAOAQcAABiHgAMAAIxzSQLOggULFB0dLR8fH8XExOjTTz+ttv7mzZsVExMjHx8ftW3bVq+++qrT8oULF6p3795q2rSpmjZtqttuu01ffPGFK4cAAADciMsDzvLly5WUlKRp06YpMzNTvXv3Vv/+/ZWTk1Nl/ezsbN1xxx3q3bu3MjMz9dRTT2n8+PF6//33HXU2bdqkYcOGaePGjcrIyFDr1q0VHx+vn3/+2dXDAQAAbsBmWZblyg307NlTPXr00CuvvOIo69SpkwYNGqTU1NRK9SdPnqzVq1drz549jrIxY8boq6++UkZGRpXbKC8vV9OmTZWWlqaHHnrovH0qKCiQ3W5Xfn6+AgMDL2BUAADgUqvN77dL9+CUlJRo586dio+PdyqPj4/Xli1bqmyTkZFRqf7tt9+uHTt2qLS0tMo2RUVFKi0tVbNmzapcXlxcrIKCAqcXAAAwl0sDzpEjR1ReXq7Q0FCn8tDQUOXl5VXZJi8vr8r6ZWVlOnLkSJVtpkyZopYtW+q2226rcnlqaqrsdrvjFRkZeQGjAQAA7uKSnGRss9mc3luWVansfPWrKpekOXPm6J133tGKFSvk4+NT5fqmTp2q/Px8x+vAgQO1HQIAAHAjjV258uDgYHl4eFTaW3Po0KFKe2nOCAsLq7J+48aN1bx5c6fyF198UbNnz9b69et19dVXn7Mf3t7e8vb2vsBRAAAAd+PSPTheXl6KiYlRenq6U3l6erp69epVZZu4uLhK9detW6fY2Fh5eno6yl544QXNmjVLa9euVWxsbN13HgAAuC2XH6JKTk7WX//6Vy1evFh79uzRhAkTlJOTozFjxkg6ffjo7CufxowZo/379ys5OVl79uzR4sWLtWjRIk2cONFRZ86cOXr66ae1ePFiRUVFKS8vT3l5eTpx4oSrhwMAANyASw9RSVJCQoKOHj2qmTNnKjc3V126dNGaNWvUpk0bSVJubq7TPXGio6O1Zs0aTZgwQS+//LIiIiI0f/58DRkyxFFnwYIFKikp0b333uu0renTpyslJcXVQwIAAA2cy++D0xBxHxwAANxPg7kPDgAAQH0g4AAAAOMQcAAAgHEIOAAAwDgEHAAAYBwCDgAAMA4BBwAAGIeAAwAAjEPAAQAAxiHgAAAA4xBwAACAcQg4AADAOAQcAABgHAIOAAAwDgEHAAAYh4ADAACMQ8ABAADGIeAAAADjEHAAAIBxCDgAAMA4BBwAAGAcAg4AADAOAQcAABiHgAMAAIxDwAEAAMYh4AAAAOMQcAAAgHEIOAAAwDgEHAAAYBwCDgAAMA4BBwAAGIeAAwAAjEPAAQAAxiHgAAAA4xBwAACAcQg4AADAOAQcAABgHAIOAAAwDgEHAAAYh4ADAACMQ8ABAADGIeAAAADjEHAAAIBxCDgAAMA4BBwAAGAcAg4AADAOAQcAABiHgAMAAIxDwAEAAMYh4AAAAOMQcAAAgHEIOAAAwDgEHAAAYBwCDgAAMA4BBwAAGIeAAwAAjHNJAs6CBQsUHR0tHx8fxcTE6NNPP622/ubNmxUTEyMfHx+1bdtWr776aqU677//vjp37ixvb2917txZK1eudFX3AQCAm3F5wFm+fLmSkpI0bdo0ZWZmqnfv3urfv79ycnKqrJ+dna077rhDvXv3VmZmpp566imNHz9e77//vqNORkaGEhISNGLECH311VcaMWKE7r//fm3bts3VwwEAAG7AZlmW5coN9OzZUz169NArr7ziKOvUqZMGDRqk1NTUSvUnT56s1atXa8+ePY6yMWPG6KuvvlJGRoYkKSEhQQUFBfrwww8ddfr166emTZvqnXfeOW+fCgoKZLfblZ+fr8DAwIsZHgAAuERq8/vd2JUdKSkp0c6dOzVlyhSn8vj4eG3ZsqXKNhkZGYqPj3cqu/3227Vo0SKVlpbK09NTGRkZmjBhQqU68+bNq3KdxcXFKi4udrwvKCi4gNHU3JGD+3X88AGXbgMAgIYsqEWkgiPa1Nv2XRpwjhw5ovLycoWGhjqVh4aGKi8vr8o2eXl5VdYvKyvTkSNHFB4efs4651pnamqqZsyYcREjqZ19H/5FcQcWXrLtAQDQ0GREJip41Iv1tn2XBpwzbDab03vLsiqVna/+b8trs86pU6cqOTnZ8b6goECRkZE16/wFaN9/nL47PMhl6wcAoKFr38J1v7M14dKAExwcLA8Pj0p7Vg4dOlRpD8wZYWFhVdZv3LixmjdvXm2dc63T29tb3t7eFzqMWguOaFOvu+UAALjcufQqKi8vL8XExCg9Pd2pPD09Xb169aqyTVxcXKX669atU2xsrDw9Pautc651AgCAy4vLD1ElJydrxIgRio2NVVxcnF5//XXl5ORozJgxkk4fPvr555/15ptvSjp9xVRaWpqSk5OVmJiojIwMLVq0yOnqqMcff1w33nijnn/+eQ0cOFD/+Mc/tH79en322WeuHg4AAHADLg84CQkJOnr0qGbOnKnc3Fx16dJFa9asUZs2pw/h5ObmOt0TJzo6WmvWrNGECRP08ssvKyIiQvPnz9eQIUMcdXr16qVly5bp6aef1jPPPKN27dpp+fLl6tmzp6uHAwAA3IDL74PTEHEfHAAA3E9tfr95FhUAADAOAQcAABiHgAMAAIxDwAEAAMYh4AAAAOMQcAAAgHEIOAAAwDgEHAAAYBwCDgAAMA4BBwAAGIeAAwAAjEPAAQAAxiHgAAAA4xBwAACAcQg4AADAOAQcAABgHAIOAAAwDgEHAAAYh4ADAACMQ8ABAADGIeAAAADjEHAAAIBxCDgAAMA4BBwAAGAcAg4AADAOAQcAABiHgAMAAIxDwAEAAMYh4AAAAOMQcAAAgHEIOAAAwDgEHAAAYBwCDgAAMA4BBwAAGIeAAwAAjEPAAQAAxiHgAAAA4xBwAACAcQg4AADAOAQcAABgHAIOAAAwDgEHAAAYh4ADAACMQ8ABAADGIeAAAADjEHAAAIBxCDgAAMA4BBwAAGAcAg4AADAOAQcAABiHgAMAAIxDwAEAAMYh4AAAAOMQcAAAgHEIOAAAwDgEHAAAYByXBpxjx45pxIgRstvtstvtGjFihI4fP15tG8uylJKSooiICPn6+uqmm27S7t27Hcv/85//aNy4cerQoYP8/PzUunVrjR8/Xvn5+a4cCgAAcCMuDTgPPPCAsrKytHbtWq1du1ZZWVkaMWJEtW3mzJmjuXPnKi0tTdu3b1dYWJj69u2rwsJCSdLBgwd18OBBvfjii9q1a5feeOMNrV27VqNGjXLlUAAAgBuxWZZluWLFe/bsUefOnbV161b17NlTkrR161bFxcXp//2//6cOHTpUamNZliIiIpSUlKTJkydLkoqLixUaGqrnn39ef/jDH6rc1rvvvqsHH3xQJ0+eVOPGjc/bt4KCAtntduXn5yswMPAiRgkAAC6V2vx+u2wPTkZGhux2uyPcSNL1118vu92uLVu2VNkmOztbeXl5io+Pd5R5e3urT58+52wjyTHQmoQbAABgPpclgry8PIWEhFQqDwkJUV5e3jnbSFJoaKhTeWhoqPbv319lm6NHj2rWrFnn3Lsjnd4LVFxc7HhfUFBw3v4DAAD3Ves9OCkpKbLZbNW+duzYIUmy2WyV2luWVWX52X67/FxtCgoKNGDAAHXu3FnTp08/5/pSU1MdJzrb7XZFRkbWZKgAAMBN1XoPztixYzV06NBq60RFRenrr7/WL7/8UmnZ4cOHK+2hOSMsLEzS6T054eHhjvJDhw5ValNYWKh+/frJ399fK1eulKen5zn7M3XqVCUnJzveFxQUEHIAADBYrQNOcHCwgoODz1svLi5O+fn5+uKLL3TddddJkrZt26b8/Hz16tWryjbR0dEKCwtTenq6unfvLkkqKSnR5s2b9fzzzzvqFRQU6Pbbb5e3t7dWr14tHx+favvi7e0tb2/vmg4RAAC4OZedZNypUyf169dPiYmJ2rp1q7Zu3arExETdeeedTldQdezYUStXrpR0+tBUUlKSZs+erZUrV+qbb77Rww8/LD8/Pz3wwAOSTu+5iY+P18mTJ7Vo0SIVFBQoLy9PeXl5Ki8vd9VwAACAG3HpZUdvvfWWxo8f77gq6u6771ZaWppTnb179zrdpG/SpEn69ddf9eijj+rYsWPq2bOn1q1bp4CAAEnSzp07tW3bNknSFVdc4bSu7OxsRUVFuXBEAADAHbjsPjgNGffBAQDA/TSI++AAAADUFwIOAAAwDgEHAAAYh4ADAACMQ8ABAADGIeAAAADjEHAAAIBxCDgAAMA4BBwAAGAcAg4AADAOAQcAABiHgAMAAIxDwAEAAMYh4AAAAOMQcAAAgHEIOAAAwDgEHAAAYBwCDgAAMA4BBwAAGIeAAwAAjEPAAQAAxiHgAAAA4xBwAACAcQg4AADAOAQcAABgHAIOAAAwDgEHAAAYh4ADAACMQ8ABAADGIeAAAADjEHAAAIBxCDgAAMA4BBwAAGAcAg4AADAOAQcAABiHgAMAAIxDwAEAAMYh4AAAAOMQcAAAgHEIOAAAwDgEHAAAYBwCDgAAMA4BBwAAGIeAAwAAjEPAAQAAxiHgAAAA4xBwAACAcQg4AADAOAQcAABgHAIOAAAwDgEHAAAYh4ADAACMQ8ABAADGIeAAAADjEHAAAIBxCDgAAMA4BBwAAGAclwacY8eOacSIEbLb7bLb7RoxYoSOHz9ebRvLspSSkqKIiAj5+vrqpptu0u7du89Zt3///rLZbFq1alXdDwAAALgllwacBx54QFlZWVq7dq3Wrl2rrKwsjRgxoto2c+bM0dy5c5WWlqbt27crLCxMffv2VWFhYaW68+bNk81mc1X3AQCAm2rsqhXv2bNHa9eu1datW9WzZ09J0sKFCxUXF6e9e/eqQ4cOldpYlqV58+Zp2rRpGjx4sCRp6dKlCg0N1dtvv60//OEPjrpfffWV5s6dq+3btys8PNxVwwAAAG7IZXtwMjIyZLfbHeFGkq6//nrZ7XZt2bKlyjbZ2dnKy8tTfHy8o8zb21t9+vRxalNUVKRhw4YpLS1NYWFh5+1LcXGxCgoKnF4AAMBcLgs4eXl5CgkJqVQeEhKivLy8c7aRpNDQUKfy0NBQpzYTJkxQr169NHDgwBr1JTU11XEekN1uV2RkZE2HAQAA3FCtA05KSopsNlu1rx07dkhSlefHWJZ13vNmfrv87DarV6/Whg0bNG/evBr3eerUqcrPz3e8Dhw4UOO2AADA/dT6HJyxY8dq6NCh1daJiorS119/rV9++aXSssOHD1faQ3PGmcNNeXl5TufVHDp0yNFmw4YN+v777xUUFOTUdsiQIerdu7c2bdpUab3e3t7y9vauts8AAMActQ44wcHBCg4OPm+9uLg45efn64svvtB1110nSdq2bZvy8/PVq1evKttER0crLCxM6enp6t69uySppKREmzdv1vPPPy9JmjJlikaPHu3UrmvXrvrv//5v3XXXXbUdDgAAMJDLrqLq1KmT+vXrp8TERL322muSpN///ve68847na6g6tixo1JTU3XPPffIZrMpKSlJs2fPVvv27dW+fXvNnj1bfn5+euCBBySd3stT1YnFrVu3VnR0tKuGAwAA3IjLAo4kvfXWWxo/frzjqqi7775baWlpTnX27t2r/Px8x/tJkybp119/1aOPPqpjx46pZ8+eWrdunQICAlzZVQAAYBCbZVlWfXfiUisoKJDdbld+fr4CAwPruzsAAKAGavP7zbOoAACAcQg4AADAOAQcAABgHAIOAAAwDgEHAAAYh4ADAACMQ8ABAADGIeAAAADjEHAAAIBxCDgAAMA4BBwAAGAcAg4AADAOAQcAABiHgAMAAIxDwAEAAMYh4AAAAOMQcAAAgHEIOAAAwDgEHAAAYBwCDgAAMA4BBwAAGIeAAwAAjEPAAQAAxiHgAAAA4xBwAACAcQg4AADAOAQcAABgHAIOAAAwDgEHAAAYh4ADAACMQ8ABAADGIeAAAADjEHAAAIBxCDgAAMA4BBwAAGAcAg4AADAOAQcAABiHgAMAAIxDwAEAAMYh4AAAAOMQcAAAgHEIOAAAwDiN67sD9cGyLElSQUFBPfcEAADU1Jnf7TO/49W5LANOYWGhJCkyMrKeewIAAGqrsLBQdru92jo2qyYxyDAVFRU6ePCgAgICZLPZ6nTdBQUFioyM1IEDBxQYGFin624ITB+fZP4YGZ/7M32MjM/9uWqMlmWpsLBQERERatSo+rNsLss9OI0aNVKrVq1cuo3AwEBjP7iS+eOTzB8j43N/po+R8bk/V4zxfHtuzuAkYwAAYBwCDgAAMA4Bp455e3tr+vTp8vb2ru+uuITp45PMHyPjc3+mj5Hxub+GMMbL8iRjAABgNvbgAAAA4xBwAACAcQg4AADAOAQcAABgHAJOHVqwYIGio6Pl4+OjmJgYffrpp/XdpQuSmpqqa6+9VgEBAQoJCdGgQYO0d+9epzoPP/ywbDab0+v666+vpx7XXkpKSqX+h4WFOZZblqWUlBRFRETI19dXN910k3bv3l2PPa6dqKioSuOz2Wx67LHHJLnn/H3yySe66667FBERIZvNplWrVjktr8mcFRcXa9y4cQoODlaTJk10991366effrqEozi36sZXWlqqyZMnq2vXrmrSpIkiIiL00EMP6eDBg07ruOmmmyrN69ChQy/xSKp2vvmryWeyIc+fdP4xVvWdtNlseuGFFxx1Guoc1uR3oaF9Bwk4dWT58uVKSkrStGnTlJmZqd69e6t///7Kycmp767V2ubNm/XYY49p69atSk9PV1lZmeLj43Xy5Emnev369VNubq7jtWbNmnrq8YW56qqrnPq/a9cux7I5c+Zo7ty5SktL0/bt2xUWFqa+ffs6nmPW0G3fvt1pbOnp6ZKk++67z1HH3ebv5MmT6tatm9LS0qpcXpM5S0pK0sqVK7Vs2TJ99tlnOnHihO68806Vl5dfqmGcU3XjKyoq0pdffqlnnnlGX375pVasWKF///vfuvvuuyvVTUxMdJrX11577VJ0/7zON3/S+T+TDXn+pPOP8eyx5ebmavHixbLZbBoyZIhTvYY4hzX5XWhw30ELdeK6666zxowZ41TWsWNHa8qUKfXUo7pz6NAhS5K1efNmR9nIkSOtgQMH1l+nLtL06dOtbt26VbmsoqLCCgsLs5577jlH2alTpyy73W69+uqrl6iHdevxxx+32rVrZ1VUVFiW5f7zJ8lauXKl431N5uz48eOWp6entWzZMkedn3/+2WrUqJG1du3aS9b3mvjt+KryxRdfWJKs/fv3O8r69OljPf74467tXB2oanzn+0y60/xZVs3mcODAgdYtt9ziVOYuc/jb34WG+B1kD04dKCkp0c6dOxUfH+9UHh8fry1bttRTr+pOfn6+JKlZs2ZO5Zs2bVJISIiuvPJKJSYm6tChQ/XRvQu2b98+RUREKDo6WkOHDtUPP/wgScrOzlZeXp7TfHp7e6tPnz5uOZ8lJSX629/+pkceecTp4bLuPn9nq8mc7dy5U6WlpU51IiIi1KVLF7ec1/z8fNlsNgUFBTmVv/XWWwoODtZVV12liRMnus1eR6n6z6Rp8/fLL7/ogw8+0KhRoyotc4c5/O3vQkP8Dl6WD9usa0eOHFF5eblCQ0OdykNDQ5WXl1dPvaoblmUpOTlZN9xwg7p06eIo79+/v+677z61adNG2dnZeuaZZ3TLLbdo586dbnF3zp49e+rNN9/UlVdeqV9++UV//vOf1atXL+3evdsxZ1XN5/79++ujuxdl1apVOn78uB5++GFHmbvP32/VZM7y8vLk5eWlpk2bVqrjbt/TU6dOacqUKXrggQecHmQ4fPhwRUdHKywsTN98842mTp2qr776ynGIsiE732fSpPmTpKVLlyogIECDBw92KneHOazqd6EhfgcJOHXo7P8dS6c/BL8tczdjx47V119/rc8++8ypPCEhwfHvLl26KDY2Vm3atNEHH3xQ6QvbEPXv39/x765duyouLk7t2rXT0qVLHSc2mjKfixYtUv/+/RUREeEoc/f5O5cLmTN3m9fS0lINHTpUFRUVWrBggdOyxMREx7+7dOmi9u3bKzY2Vl9++aV69OhxqbtaKxf6mXS3+Ttj8eLFGj58uHx8fJzK3WEOz/W7IDWs7yCHqOpAcHCwPDw8KiXQQ4cOVUqz7mTcuHFavXq1Nm7cqFatWlVbNzw8XG3atNG+ffsuUe/qVpMmTdS1a1ft27fPcTWVCfO5f/9+rV+/XqNHj662nrvPX03mLCwsTCUlJTp27Ng56zR0paWluv/++5Wdna309HSnvTdV6dGjhzw9Pd1yXn/7mTRh/s749NNPtXfv3vN+L6WGN4fn+l1oiN9BAk4d8PLyUkxMTKVdiOnp6erVq1c99erCWZalsWPHasWKFdqwYYOio6PP2+bo0aM6cOCAwsPDL0EP615xcbH27Nmj8PBwx+7hs+ezpKREmzdvdrv5XLJkiUJCQjRgwIBq67n7/NVkzmJiYuTp6elUJzc3V998841bzOuZcLNv3z6tX79ezZs3P2+b3bt3q7S01C3n9befSXefv7MtWrRIMTEx6tat23nrNpQ5PN/vQoP8Dtb5acuXqWXLllmenp7WokWLrG+//dZKSkqymjRpYv3444/13bVa++Mf/2jZ7XZr06ZNVm5uruNVVFRkWZZlFRYWWk888YS1ZcsWKzs729q4caMVFxdntWzZ0iooKKjn3tfME088YW3atMn64YcfrK1bt1p33nmnFRAQ4Jiv5557zrLb7daKFSusXbt2WcOGDbPCw8PdZnyWZVnl5eVW69atrcmTJzuVu+v8FRYWWpmZmVZmZqYlyZo7d66VmZnpuIqoJnM2ZswYq1WrVtb69eutL7/80rrlllusbt26WWVlZfU1LIfqxldaWmrdfffdVqtWraysrCyn72VxcbFlWZb13XffWTNmzLC2b99uZWdnWx988IHVsWNHq3v37g1+fDX9TDbk+bOs839GLcuy8vPzLT8/P+uVV16p1L4hz+H5fhcsq+F9Bwk4dejll1+22rRpY3l5eVk9evRwuqzanUiq8rVkyRLLsiyrqKjIio+Pt1q0aGF5enparVu3tkaOHGnl5OTUb8drISEhwQoPD7c8PT2tiIgIa/Dgwdbu3bsdyysqKqzp06dbYWFhlre3t3XjjTdau3btqsce195HH31kSbL27t3rVO6u87dx48YqP5cjR460LKtmc/brr79aY8eOtZo1a2b5+vpad955Z4MZd3Xjy87OPuf3cuPGjZZlWVZOTo514403Ws2aNbO8vLysdu3aWePHj7eOHj1avwP7P9WNr6afyYY8f5Z1/s+oZVnWa6+9Zvn6+lrHjx+v1L4hz+H5fhcsq+F9B23/13EAAABjcA4OAAAwDgEHAAAYh4ADAACMQ8ABAADGIeAAAADjEHAAAIBxCDgAAMA4BBwAAGAcAg4AADAOAQcAABiHgAMAAIxDwAEAAMb5/0mk1MAP6RdNAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "And here are the small-HD-piece and small-enclave pops\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#THIS is the FINDSTILLBROKEN code\n",
    "print(\"quick classification: who has contiguity problems?\")\n",
    "nUnbroken, nNoEnclave, smallPieceLists, enclaveLists, sPgenerator, eLgenerator = 0., 0., list(), list(), list(), list()\n",
    "smallPieceLengths, enclaveLengths = list(), list()\n",
    "doubleTroubleList = list()\n",
    "startTime = time.time()\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%1000 == 0:\n",
    "        print(\"working on HD\",t,\"time is now\",int(time.time() - startTime) )\n",
    "    unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(HDunitList[t], unitNbrs)\n",
    "    if unbroken:\n",
    "        nUnbroken +=1\n",
    "    if noEnclave:\n",
    "        nNoEnclave +=1\n",
    "    if not unbroken:\n",
    "        smallPieceLists.append(smallPieceList)\n",
    "        smallPieceLengths.append(len(smallPieceList))\n",
    "        sPgenerator.append(t)\n",
    "    if not noEnclave and unbroken:   #district is contiguous but contains 1+ enclave\n",
    "        enclaveLists.append(enclaveList)\n",
    "        enclaveLengths.append(len(enclaveList))\n",
    "        eLgenerator.append(t)\n",
    "    if not noEnclave and not unbroken:  #extremely discontig (\"broken\") HDs can appear to have enclaves;\n",
    "        doubleTroubleList.append(t)\n",
    "print(\"out of\",len(popHDlist),\"total HDs, there were\",nUnbroken,\"contiguous and\",nNoEnclave,\"complement-contiguous HDs\")\n",
    "print(len(doubleTroubleList),\"HDs had both discontiguity problems, while enclave-only =\",len(eLgenerator),\n",
    "      \"and discontig only=\",len(sPgenerator)-len(doubleTroubleList) )\n",
    "\n",
    "print(\"here are the histograms of the small piece and enclave list lengths, total no =\",\n",
    "      len(smallPieceLists),len(enclaveLists) )\n",
    "plt.hist([s for s in smallPieceLengths],label=\"small piece l units\",histtype='step',\n",
    "         cumulative=True,bins=[0,1,2,3,4,5,6,8,10,12,15,20,25,30,35,40,45,50,60,80,120,200])\n",
    "plt.hist([e for e in enclaveLengths],label=\"enclave l units\",histtype='step',\n",
    "         cumulative=True,bins=[0,1,2,3,4,5,6,8,10,12,15,20,25,30,35,40,45,50,60,80,120,200])\n",
    "plt.legend()\n",
    "plt.show()\n",
    "print(\"And here are the small-HD-piece and small-enclave pops\")\n",
    "plt.hist([sum(unitPop[u] for u in s) for s in smallPieceLists],label=\"small piece 1 pop\",histtype='step')\n",
    "plt.hist([sum(unitPop[u] for u in e) for e in enclaveLists],label=\"enclave 1 pop\",histtype='step')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "114705bb-9640-45f1-9f25-030030efaa63",
   "metadata": {},
   "outputs": [],
   "source": [
    "#below here -- working on tightening use distro while squaring up pop"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 213,
   "id": "5d7d8519-eb3d-4345-9ac6-ab888e61c348",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "before patching, make another copy of the current HD lists\n"
     ]
    },
    {
     "data": {
      "image/png": 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GxkZXQPn1r3+tmpoafe1rXxu2l/7+fvX09LhtAABgYvJphaWzs1ODg4OKiYlxG4+JiVF7e7vXfdrb273WX716VZ2dnYqNjdXjjz+uzz//XPfff7+cTqeuXr2qb37zm9qyZcuwvZSWlur555/3pX1g3Dnb0Tsu5gSAQPP5kpAkBQUFub12Op0eYzer/8Px9957Ty+88ILKy8u1dOlSnT17Vps2bVJsbKy2b9/udc6ioiIVFha6Xvf09CghIWE0hwMYJ2qqVeEhFuVXNwdk/vAQi6KmWgMyNwAEgk+BJTo6WhaLxWM1paOjw2MV5brZs2d7rQ8ODtaMGTMkSdu3b1dWVpbrvpi/+Iu/UF9fn/7+7/9excXFmjLF88pVaGioQkNDfWkfGDfiI8N1fPMyXexzBGT+qKlWxUeGB2RuAAgEnwKL1WqVzWZTXV2dHnnkEdd4XV2dHn74Ya/7pKWl6cc//rHbWG1trVJTUxUSEiJJ+uKLLzxCicVikdPpdK3GAJNNfGQ4oQIA/j+fP9ZcWFio73//+zpw4IDOnDmjgoICtbS0KDc3V9K1SzXr16931efm5uqzzz5TYWGhzpw5owMHDqiqqkrPPPOMq2b16tWqqKjQ0aNHde7cOdXV1Wn79u166KGHZLFY/HCYAABgPPP5HpbMzEx1dXWppKREbW1tSklJUU1NjRITEyVJbW1tbs9kSUpKUk1NjQoKCrR3717FxcVp9+7dro80S9K2bdsUFBSkbdu2qbW1VTNnztTq1av1wgsv+OEQAQDAeBfknCDXXHp6ehQREaHu7m5Nnz59rNuZsP67tVt/89op/fs/3K+U+IixbgcG4b8NAKMx0vfvUX1KCOZrvXQlIDds8pFYAMBYILBMQK2Xrmj5Kyd0ZWAwIPPzkVgAwO1GYJmALvY5dGVgUGWZS3TXrGl+n5+PxAIAbjcCywR216xp3EsAAJgQfP5YMwAAwO1GYAEAAMYjsAAAAOMRWAAAgPEILAAAwHgEFgAAYDwCCwAAMB6BBQAAGI/AAgAAjEdgAQAAxiOwAAAA4xFYAACA8QgsAADAeAQWAABgPAILAAAwHoEFAAAYj8ACAACMR2ABAADGI7AAAADjEVgAAIDxCCwAAMB4BBYAAGA8AgsAADAegQUAABiPwAIAAIxHYAEAAMYjsAAAAOMRWAAAgPEILAAAwHgEFgAAYDwCCwAAMB6BBQAAGI/AAgAAjEdgAQAAxiOwAAAA4xFYAACA8QgsAADAeKMKLOXl5UpKSlJYWJhsNptOnjx5w/oTJ07IZrMpLCxM8+bNU2VlpUfNpUuX9PTTTys2NlZhYWFKTk5WTU3NaNoDAAATjM+Bpbq6Wvn5+SouLlZTU5MyMjK0cuVKtbS0eK0/d+6cVq1apYyMDDU1NWnr1q3auHGjjh075qpxOBx68MEHdf78eb3xxhv65JNPtH//fsXHx4/+yAAAwIQR7OsOu3btUnZ2tnJyciRJZWVleuedd1RRUaHS0lKP+srKSs2ZM0dlZWWSpOTkZJ0+fVo7d+7U2rVrJUkHDhzQ7373O9XX1yskJESSlJiYONpjAgAAE4xPKywOh0ONjY2y2+1u43a7XfX19V73aWho8KhfsWKFTp8+rYGBAUnS22+/rbS0ND399NOKiYlRSkqKXnzxRQ0ODg7bS39/v3p6etw2AAAwMfkUWDo7OzU4OKiYmBi38ZiYGLW3t3vdp7293Wv91atX1dnZKUn69a9/rTfeeEODg4OqqanRtm3b9Morr+iFF14YtpfS0lJFRES4toSEBF8OBQAAjCOjuuk2KCjI7bXT6fQYu1n9H44PDQ1p1qxZ2rdvn2w2mx5//HEVFxeroqJi2DmLiorU3d3t2i5cuDCaQwEAAOOAT/ewREdHy2KxeKymdHR0eKyiXDd79myv9cHBwZoxY4YkKTY2ViEhIbJYLK6a5ORktbe3y+FwyGq1eswbGhqq0NBQX9oHAADjlE8rLFarVTabTXV1dW7jdXV1Sk9P97pPWlqaR31tba1SU1NdN9jed999Onv2rIaGhlw1v/rVrxQbG+s1rAAAgMnF50tChYWF+v73v68DBw7ozJkzKigoUEtLi3JzcyVdu1Szfv16V31ubq4+++wzFRYW6syZMzpw4ICqqqr0zDPPuGq++c1vqqurS5s2bdKvfvUr/cd//IdefPFFPf300344RAAAMN75/LHmzMxMdXV1qaSkRG1tbUpJSVFNTY3rY8htbW1uz2RJSkpSTU2NCgoKtHfvXsXFxWn37t2ujzRLUkJCgmpra1VQUKC7775b8fHx2rRpk5599lk/HCKA2+lsR29A5o2aalV8ZHhA5gZgviDn9Ttgx7menh5FRESou7tb06dPH+t2xtR/t3brb147pX//h/uVEh8x1u1gkmi9dEXLXzmhKwPDP47gVoSHWHR88zJCCzDBjPT92+cVFgDwJj4yXMc3L9PFPoff5z7b0av86mZd7HMQWIBJisACwG/iI8MJFAACgm9rBgAAxiOwAAAA4xFYAACA8QgsAADAeAQWAABgPAILAAAwHoEFAAAYj8ACAACMR2ABAADGI7AAAADjEVgAAIDxCCwAAMB4BBYAAGA8AgsAADAegQUAABiPwAIAAIxHYAEAAMYjsAAAAOMRWAAAgPEILAAAwHgEFgAAYDwCCwAAMB6BBQAAGI/AAgAAjEdgAQAAxiOwAAAA4wWPdQMAMFJnO3r9PmfUVKviI8P9Pi8A/yKwADBe1FSrwkMsyq9u9vvc4SEWHd+8jNACGI7AAsB48ZHhOr55mS72Ofw679mOXuVXN+tin4PAAhiOwAJgXIiPDCdUAJMYN90CAADjEVgAAIDxCCwAAMB4BBYAAGA8AgsAADAegQUAABiPwAIAAIxHYAEAAMYjsAAAAOONKrCUl5crKSlJYWFhstlsOnny5A3rT5w4IZvNprCwMM2bN0+VlZXD1h49elRBQUFas2bNaFoDAAATkM+Bpbq6Wvn5+SouLlZTU5MyMjK0cuVKtbS0eK0/d+6cVq1apYyMDDU1NWnr1q3auHGjjh075lH72Wef6ZlnnlFGRobvRwIAACYsnwPLrl27lJ2drZycHCUnJ6usrEwJCQmqqKjwWl9ZWak5c+aorKxMycnJysnJ0Te+8Q3t3LnTrW5wcFBPPvmknn/+ec2bN290RwMAACYknwKLw+FQY2Oj7Ha727jdbld9fb3XfRoaGjzqV6xYodOnT2tgYMA1VlJSopkzZyo7O3tEvfT396unp8dtAwAAE5NPgaWzs1ODg4OKiYlxG4+JiVF7e7vXfdrb273WX716VZ2dnZKk999/X1VVVdq/f/+IeyktLVVERIRrS0hI8OVQAADAODKqm26DgoLcXjudTo+xm9VfH798+bK+/vWva//+/YqOjh5xD0VFReru7nZtFy5c8OEIAADAeBLsS3F0dLQsFovHakpHR4fHKsp1s2fP9lofHBysGTNm6OOPP9b58+e1evVq18+HhoauNRccrE8++UTz58/3mDc0NFShoaG+tA8AAMYpn1ZYrFarbDab6urq3Mbr6uqUnp7udZ+0tDSP+traWqWmpiokJEQLFy7URx99pObmZtf20EMP6YEHHlBzczOXegAAgG8rLJJUWFiorKwspaamKi0tTfv27VNLS4tyc3MlXbtU09raqoMHD0qScnNztWfPHhUWFmrDhg1qaGhQVVWVjhw5IkkKCwtTSkqK2++IjIyUJI9xAAAwOfkcWDIzM9XV1aWSkhK1tbUpJSVFNTU1SkxMlCS1tbW5PZMlKSlJNTU1Kigo0N69exUXF6fdu3dr7dq1/jsKAAAwofkcWCQpLy9PeXl5Xn/2+uuve4wtW7ZMv/jFL0Y8v7c5AADA5MV3CQEAAOMRWAAAgPEILAAAwHgEFgAAYDwCCwAAMB6BBQAAGI/AAgAAjEdgAQAAxiOwAAAA4xFYAACA8QgsAADAeAQWAABgPAILAAAw3qi+rRkAJpKzHb0BmTdqqlXxkeEBmRuYbAgsACatqKlWhYdYlF/dHJD5w0MsOr55GaEF8AMCC4BJKz4yXMc3L9PFPoff5z7b0av86mZd7HMQWAA/ILAAmNTiI8MJFMA4wE23AADAeAQWAABgPAILAAAwHoEFAAAYj8ACAACMx6eExljrpSt+/0hloB6CBQDAWCGwjKHWS1e0/JUTujIw6Pe5w0Msippq9fu8AACMBQLLGLrY59CVgUGVZS7RXbOm+XVuHgkOAJhICCwGuGvWNKXER4x1GwAAGIubbgEAgPEILAAAwHgEFgAAYDwCCwAAMB6BBQAAGI/AAgAAjEdgAQAAxiOwAAAA4xFYAACA8QgsAADAeAQWAABgPAILAAAwHoEFAAAYj8ACAACMN6rAUl5erqSkJIWFhclms+nkyZM3rD9x4oRsNpvCwsI0b948VVZWuv18//79ysjIUFRUlKKiorR8+XJ98MEHo2kNAABMQD4HlurqauXn56u4uFhNTU3KyMjQypUr1dLS4rX+3LlzWrVqlTIyMtTU1KStW7dq48aNOnbsmKvmvffe0xNPPKF3331XDQ0NmjNnjux2u1pbW0d/ZAAAYMLwObDs2rVL2dnZysnJUXJyssrKypSQkKCKigqv9ZWVlZozZ47KysqUnJysnJwcfeMb39DOnTtdNYcOHVJeXp6WLFmihQsXav/+/RoaGtJPf/rT0R8ZAACYMHwKLA6HQ42NjbLb7W7jdrtd9fX1XvdpaGjwqF+xYoVOnz6tgYEBr/t88cUXGhgY0J133ulLewAAYIIK9qW4s7NTg4ODiomJcRuPiYlRe3u7133a29u91l+9elWdnZ2KjY312GfLli2Kj4/X8uXLh+2lv79f/f39rtc9PT2+HAoAABhHRnXTbVBQkNtrp9PpMXazem/jkvTSSy/pyJEjevPNNxUWFjbsnKWlpYqIiHBtCQkJvhwCAAAYR3wKLNHR0bJYLB6rKR0dHR6rKNfNnj3ba31wcLBmzJjhNr5z5069+OKLqq2t1d13333DXoqKitTd3e3aLly44MuhAACAccSnS0JWq1U2m011dXV65JFHXON1dXV6+OGHve6TlpamH//4x25jtbW1Sk1NVUhIiGvs5Zdf1ne/+1298847Sk1NvWkvoaGhCg0N9aV9ALjtznb0+n3OqKlWxUeG+31ewGQ+BRZJKiwsVFZWllJTU5WWlqZ9+/appaVFubm5kq6tfLS2turgwYOSpNzcXO3Zs0eFhYXasGGDGhoaVFVVpSNHjrjmfOmll7R9+3YdPnxYc+fOda3ITJs2TdOmTfPHcQLAbRU11arwEIvyq5v9Pnd4iEXHNy8jtGBS8TmwZGZmqqurSyUlJWpra1NKSopqamqUmJgoSWpra3N7JktSUpJqampUUFCgvXv3Ki4uTrt379batWtdNeXl5XI4HHr00UfdfteOHTv03HPPjfLQAGDsxEeG6/jmZbrY5/DrvGc7epVf3ayLfQ4CCyYVnwOLJOXl5SkvL8/rz15//XWPsWXLlukXv/jFsPOdP39+NG0AgNHiI8MJFYCf8F1CAADAeAQWAABgPAILAAAwHoEFAAAYj8ACAACMR2ABAADGI7AAAADjEVgAAIDxCCwAAMB4BBYAAGA8AgsAADAegQUAABiPwAIAAIxHYAEAAMYjsAAAAOMFj3UDAADfne3oDci8UVOtio8MD8jcwK0gsADAOBI11arwEIvyq5sDMn94iEWVWTbNmGr167wEIdwqAgsAjCPxkeE6vnmZLvY5/D53V59Duf/aqKcOfOD3ucNDLDq+eRmhBaNGYAGAcSY+Mjxgb/yBCENnO3qVX92si30OAgtGjcACAHAJZBgCbgWfEgIAAMYjsAAAAOMRWAAAgPEILAAAwHgEFgAAYDwCCwAAMB6BBQAAGI/AAgAAjEdgAQAAxiOwAAAA4xFYAACA8QgsAADAeAQWAABgPAILAAAwHoEFAAAYL3isGwAATA5nO3oDMm/UVKviI8MDMjfMQWABAARU1FSrwkMsyq9uDsj84SEWHd+8jNAywRFYAAABFR8ZruObl+lin8Pvc5/t6FV+dbN+fu53ujhrmt/nZ/XGHASWEWi9dCVgf9EAYDKIjwwPyBs/qzeTB4HlJlovXdHyV07oysBgQOYPD7Eoaqo1IHMDwER3O1ZvLvY5CCwGILDcxMU+h64MDKosc4nuYrkRAIwTqNWb6wKxGs7/+303qsBSXl6ul19+WW1tbfrSl76ksrIyZWRkDFt/4sQJFRYW6uOPP1ZcXJz+6Z/+Sbm5uW41x44d0/bt2/Xpp59q/vz5euGFF/TII4+Mpr2AuGvWNKXER4x1GwCA2ySQl5vCQyyqzLJpRgBW2CdqGPI5sFRXVys/P1/l5eW677779M///M9auXKlfvnLX2rOnDke9efOndOqVau0YcMG/du//Zvef/995eXlaebMmVq7dq0kqaGhQZmZmfrOd76jRx55RG+99ZYee+wxnTp1SkuXLr31owQAwEeButzU1edQ7r826qkDH/h13usm6n03QU6n0+nLDkuXLtW9996riooK11hycrLWrFmj0tJSj/pnn31Wb7/9ts6cOeMay83N1YcffqiGhgZJUmZmpnp6evSf//mfrpq//uu/VlRUlI4cOTKivnp6ehQREaHu7m5Nnz7dl0O6of9u7dbfvHZK//4P97PCAgDwi0B+mCO/ujkgtzEEauVmpO/fPq2wOBwONTY2asuWLW7jdrtd9fX1XvdpaGiQ3W53G1uxYoWqqqo0MDCgkJAQNTQ0qKCgwKOmrKxs2F76+/vV39/vet3d3S3p2oH7U+/lHg31f6Heyz3q6Qny69wAgMnpjinSHXf4/z0leDBY1qHfa+NB7+/JtyIsZIre/tb9ivNzaLn+vn2z9ROfAktnZ6cGBwcVExPjNh4TE6P29nav+7S3t3utv3r1qjo7OxUbGztszXBzSlJpaamef/55j/GEhISRHo5P0soCMi0AAONG8suBm/vy5cuKiBj+SsaobroNCnJPhU6n02PsZvV/PO7rnEVFRSosLHS9Hhoa0u9+9zvNmDHjhvshMHp6epSQkKALFy749ZIcAoPzNf5wzsYXztfIOZ1OXb58WXFxcTes8ymwREdHy2KxeKx8dHR0eKyQXDd79myv9cHBwZoxY8YNa4abU5JCQ0MVGhrqNhYZGTnSQ0GATJ8+nb+c4wjna/zhnI0vnK+RudHKynU+fVuz1WqVzWZTXV2d23hdXZ3S09O97pOWluZRX1tbq9TUVIWEhNywZrg5AQDA5OLzJaHCwkJlZWUpNTVVaWlp2rdvn1paWlzPVSkqKlJra6sOHjwo6dongvbs2aPCwkJt2LBBDQ0Nqqqqcvv0z6ZNm/TlL39Z3/ve9/Twww/rRz/6kY4fP65Tp0756TABAMB45nNgyczMVFdXl0pKStTW1qaUlBTV1NQoMTFRktTW1qaWlhZXfVJSkmpqalRQUKC9e/cqLi5Ou3fvdj2DRZLS09N19OhRbdu2Tdu3b9f8+fNVXV3NM1jGkdDQUO3YscPjMh3MxPkafzhn4wvny/98fg4LAADA7ebTPSwAAABjgcACAACMR2ABAADGI7AAAADjEVgwYuXl5UpKSlJYWJhsNptOnjx5w/pDhw5p8eLF+pM/+RPFxsbq7/7u79TV1XWbup3cfvazn2n16tWKi4tTUFCQfvjDH950nxMnTshmsyksLEzz5s1TZWVl4BuFJN/P15tvvqkHH3xQM2fO1PTp05WWlqZ33nnn9jQLSaP7O3bd+++/r+DgYC1ZsiRg/U1EBBaMSHV1tfLz81VcXKympiZlZGRo5cqVbh9h/0OnTp3S+vXrlZ2drY8//lg/+MEP9POf/1w5OTm3ufPJqa+vT4sXL9aePXtGVH/u3DmtWrVKGRkZampq0tatW7Vx40YdO3YswJ1C8v18/exnP9ODDz6ompoaNTY26oEHHtDq1avV1NQU4E5xna/n7Lru7m6tX79eX/3qVwPU2cTFx5oxIkuXLtW9996riooK11hycrLWrFmj0tJSj/qdO3eqoqJCn376qWvstdde00svvaQLFy7clp5xTVBQkN566y2tWbNm2Jpnn31Wb7/9ts6cOeMay83N1YcffqiGhobb0CWuG8n58uZLX/qSMjMz9e1vfzswjWFYvpyzxx9/XH/2Z38mi8WiH/7wh2pubg54fxMFKyy4KYfDocbGRtntdrdxu92u+nrvX2Genp6u3/zmN6qpqZHT6dT//u//6o033tDXvva129EyfNTQ0OBxflesWKHTp09rYGBgjLrCSA0NDeny5cu68847x7oV3MC//Mu/6NNPP9WOHTvGupVxicCCm+rs7NTg4KDHl1HGxMR4fGnldenp6Tp06JAyMzNltVo1e/ZsRUZG6rXXXrsdLcNH7e3tXs/v1atX1dnZOUZdYaReeeUV9fX16bHHHhvrVjCM//mf/9GWLVt06NAhBQf7/JB5iMACHwQFBbm9djqdHmPX/fKXv9TGjRv17W9/W42NjfrJT36ic+fOub5zCubxdn69jcMsR44c0XPPPafq6mrNmjVrrNuBF4ODg1q3bp2ef/55/fmf//lYtzNuEfNwU9HR0bJYLB6rKR0dHR7/Kr+utLRU9913n/7xH/9RknT33Xdr6tSpysjI0He/+13FxsYGvG+M3OzZs72e3+DgYM2YMWOMusLNVFdXKzs7Wz/4wQ+0fPnysW4Hw7h8+bJOnz6tpqYmfetb35J07TKe0+lUcHCwamtr9ZWvfGWMuzQfKyy4KavVKpvNprq6Orfxuro6paene93niy++0JQp7v95WSwWSf/3L3eYIy0tzeP81tbWKjU1VSEhIWPUFW7kyJEj+tu//VsdPnyYe8MMN336dH300Udqbm52bbm5uVqwYIGam5v5ot8RYoUFI1JYWKisrCylpqYqLS1N+/btU0tLi+sST1FRkVpbW3Xw4EFJ0urVq7VhwwZVVFRoxYoVamtrU35+vv7yL/9ScXFxY3kok0Jvb6/Onj3ren3u3Dk1Nzfrzjvv1Jw5czzOV25urvbs2aPCwkJt2LBBDQ0Nqqqq0pEjR8bqECYVX8/XkSNHtH79er366qv6q7/6K9fqWHh4uCIiIsbkGCYbX87ZlClTlJKS4rb/rFmzFBYW5jGOG3ACI7R3715nYmKi02q1Ou+9917niRMnXD976qmnnMuWLXOr3717t3PRokXO8PBwZ2xsrPPJJ590/uY3v7nNXU9O7777rlOSx/bUU085nU7v5+u9995z3nPPPU6r1eqcO3eus6Ki4vY3Pkn5er6WLVt2w3oE3mj+jv2hHTt2OBcvXnxbep0oeA4LAAAwHvewAAAA4xFYAACA8QgsAADAeAQWAABgPAILAAAwHoEFAAAYj8ACAACMR2ABAADGI7AAAADjEVgAAIDxCCwAAMB4BBYAAGC8/we5nWSP/K/gKwAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "pre-patch avg use and its sd are 0.9318 0.12661\n"
     ]
    }
   ],
   "source": [
    "print(\"before patching, make another copy of the current HD lists\")\n",
    "latestHDlist = [HDunitList[t].copy() for t in range(nHDs)]   #More safekeeping\n",
    "latestHDpop, latestUnitUse = [0. for t in range(nHDs)], [0. for u in range(nUnits)]\n",
    "for t in popHDlist:\n",
    "    for u in latestHDlist[t]:\n",
    "        latestHDpop[t] += unitPop[u]\n",
    "        latestUnitUse[u] += nDistricts * HDweight[t]\n",
    "latestUnitWeights, latestUnitDistro = list(), list()\n",
    "for u in range(nUnits):\n",
    "    if latestUnitUse[u] > 0.1:\n",
    "        latestUnitDistro.append(latestUnitUse[u])\n",
    "        latestUnitWeights.append(unitPop[u]/statePop)\n",
    "plt.hist(latestUnitDistro, weights=latestUnitWeights, bins = 20, histtype = \"step\")\n",
    "plt.show()\n",
    "latestAvg, latestSD = getWeightedAvgAndSD(latestUnitDistro, latestUnitWeights)\n",
    "print(\"pre-patch avg use and its sd are\",r5(latestAvg),r5(latestSD) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 215,
   "id": "17caead2-8aba-4fc5-817e-53d440c5a704",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "saving contig but off-pop unit lists to a file\n"
     ]
    }
   ],
   "source": [
    "print(\"saving contig but off-pop unit lists to a file\")\n",
    "HDvPop = [0. for t in range(nHDs)]\n",
    "tList = [t for t in range(nHDs)]\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        HDvPop[t] += unitPop[u]\n",
    "outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDunitList\":HDunitList,\n",
    "                      \"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "outname = STATE+str(int(nHDs))+\"ContigButOffPopUnit.csv\" #\"contigUnpatchedB.csv\"  #ContigButOffPopUnit.csv\n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "outDF.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "c5d76a90-4441-4e96-b9a7-7de433686812",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "saving pre-squaring HD vtd lists to file\n"
     ]
    }
   ],
   "source": [
    "print(\"saving pre-squaring HD vtd lists to file\")\n",
    "tList = [t for t in range(nHDs)]\n",
    "vtdList = [list() for t in range(nHDs)]\n",
    "unitVTDlist = [list() for u in range(nUnits)]\n",
    "for u in range(nUnits):\n",
    "    if allUnits[u] % 1 == 0.5 :\n",
    "        c = int(allUnits[u])\n",
    "        unitVTDlist[u] = countyTractList[c].copy()\n",
    "    if allUnits[u] % 1 == 0.25 :\n",
    "        CCBnumber = int(allUnits[u])\n",
    "        for c in CCBlist[CCBnumber] :\n",
    "            unitVTDlist[u] += countyTractList[c]\n",
    "    if allUnits[u] % 1 == 0:\n",
    "        unitVTDlist[u] = [allUnits[u]]\n",
    "        for i,uu in enumerate(surrounders):\n",
    "            if u == uu:\n",
    "                unitVTDlist[u].append(surroundedVTDs[i])\n",
    "\n",
    "HDvPop = [0. for t in range(nHDs)]\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        vtdList[t] += unitVTDlist[u]\n",
    "        HDvPop[t] += unitPop[u]\n",
    "outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDvtdList\":vtdList,\n",
    "                      \"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "outname = STATE+str(int(nHDs))+\"contigNotSquaredVTD.csv\" #\"contigUnpatchedB.csv\"\n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "outDF.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 216,
   "id": "b1971853-bda7-49a4-9f25-1bdfd5e75aa2",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "working on avg unit-to-HDcp dist for HD 0\n",
      "working on avg unit-to-HDcp dist for HD 808\n",
      "working on avg unit-to-HDcp dist for HD 1620\n",
      "working on avg unit-to-HDcp dist for HD 2428\n",
      "working on avg unit-to-HDcp dist for HD 3236\n",
      "working on avg unit-to-HDcp dist for HD 4047\n",
      "working on avg unit-to-HDcp dist for HD 4852\n"
     ]
    }
   ],
   "source": [
    "avgDist = [0. for t in range(nHDs)]  #about 6sec per 1000 HDs\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%800 == 0:\n",
    "        print(\"working on avg unit-to-HDcp dist for HD\",t)\n",
    "    avgDist[t] =  np.sum([unitPop[u]*unitCP[u].distance(hdCP[t]) for u in HDunitList[t] ]) / HDvPop[t]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 235,
   "id": "f179943a-ef19-4036-a8c6-5ab7b1f97bf8",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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VlZWljRs3asaMGU7N8uXL1draqvnz5ysYDCo/P1/l5eVKSUlxajZs2KD4+HhNmTJFra2tKioq0tatWxUXFxftKQMAAAtF/T4xvQX3iQFgo+t5iTX3iUFvdC2f3/x2EgAAsBIhBgAAWIkQAwAArESIAQAAViLEAAAAKxFiAACAlQgxAADASoQYAABgJUIMAACwEiEGAABYiRADAACsFPUfgAQA2OFqfqeJ31dCb8ZKDAAAsBIhBgAAWIkQAwAArESIAQAAViLEAAAAKxFiAACAlQgxAADASoQYAABgJUIMAACwEiEGAABYiRADAACsRIgBAABWIsQAAAArEWIAAICVCDEAAMBKhBgAAGAlQgwAALASIQYAAFiJEAMAAKxEiAEAAFYixAAAACsRYgAAgJUIMQAAwEqEGAAAYCVCDAAAsBIhBgAAWIkQAwAArESIAQAAViLEAAAAKxFiAACAlQgxAADASoQYAABgJUIMAACwEiEGAABYiRADAACsRIgBAABWIsQAAAArEWIAAICVCDEAAMBKhBgAAGAlQgwAALASIQYAAFiJEAMAAKxEiAEAAFYixAAAACsRYgAAgJW6PcSUlpbK5XIpEAg4Y8YYrVmzRn6/X0lJSRo7dqyOHj0a8bpwOKxFixYpIyNDycnJmjx5sk6dOtXd0wUAAJbo1hBz6NAhbdmyRbfffnvE+Lp167R+/Xpt2rRJhw4dks/n0/jx49XS0uLUBAIB7dq1S2VlZdq3b5/Onj2r4uJitbe3d+eUAQCAJbotxJw9e1YzZszQs88+qwEDBjjjxhht3LhRjz/+uB544AHl5ORo27ZtOnfunHbu3ClJCoVCeu655/SjH/1I48aN06hRo7Rjxw7V1tZq79693TVlAABgkW4LMQsWLNCkSZM0bty4iPG6ujo1NjZqwoQJzpjb7VZhYaGqqqokSdXV1Tp//nxEjd/vV05OjlPTWTgcVnNzc8QDAADErvju2GlZWZkOHz6sQ4cOddnW2NgoSfJ6vRHjXq9XJ06ccGoSExMjVnAu1Vx6fWelpaV64oknojF9AABggaivxNTX12vx4sXasWOHbrjhhsvWuVyuiOfGmC5jnV2pZtWqVQqFQs6jvr7+2icPAACsEfUQU11draamJuXl5Sk+Pl7x8fGqrKzUj3/8Y8XHxzsrMJ1XVJqampxtPp9PbW1tCgaDl63pzO12KzU1NeIBAABiV9RDTFFRkWpra1VTU+M8Ro8erRkzZqimpkbDhw+Xz+dTRUWF85q2tjZVVlaqoKBAkpSXl6eEhISImoaGBh05csSpAQAAfVvUz4lJSUlRTk5OxFhycrLS09Od8UAgoJKSEmVnZys7O1slJSXq37+/pk+fLknyeDyaM2eOli5dqvT0dKWlpWnZsmXKzc3tcqIwAADom7rlxN7Psnz5crW2tmr+/PkKBoPKz89XeXm5UlJSnJoNGzYoPj5eU6ZMUWtrq4qKirR161bFxcX1xJQBAEAv4zLGmJ6eRHdobm6Wx+NRKBTi/BgA1hi28tWenkKE95+a1NNTQB9zLZ/f/HYSAACwEiEGAABYiRADAACsRIgBAABWIsQAAAArEWIAAICVCDEAAMBKhBgAAGAlQgwAALASIQYAAFiJEAMAAKxEiAEAAFYixAAAACsRYgAAgJUIMQAAwEqEGAAAYCVCDAAAsBIhBgAAWIkQAwAArBTf0xMAgL5i2MpXe3oKQExhJQYAAFiJEAMAAKxEiAEAAFYixAAAACsRYgAAgJUIMQAAwEqEGAAAYCVCDAAAsBIhBgAAWIkQAwAArESIAQAAViLEAAAAKxFiAACAlQgxAADASoQYAABgJUIMAACwEiEGAABYiRADAACsRIgBAABWIsQAAAArxff0BAAgFgxb+WpPTwHoc1iJAQAAViLEAAAAKxFiAACAlQgxAADASpzYCwC4rGidsPz+U5Oish/gk1iJAQAAViLEAAAAKxFiAACAlQgxAADASoQYAABgJUIMAACwEiEGAABYiRADAACsRIgBAABWIsQAAAArEWIAAICVoh5iSktL9bWvfU0pKSkaOHCg7r//fh07diyixhijNWvWyO/3KykpSWPHjtXRo0cjasLhsBYtWqSMjAwlJydr8uTJOnXqVLSnCwAALBX1EFNZWakFCxbowIEDqqio0IULFzRhwgR9/PHHTs26deu0fv16bdq0SYcOHZLP59P48ePV0tLi1AQCAe3atUtlZWXat2+fzp49q+LiYrW3t0d7ygAAwEIuY4zpzjf48MMPNXDgQFVWVuob3/iGjDHy+/0KBAJasWKFpIurLl6vV08//bTmzp2rUCikG2+8Udu3b9fUqVMlSadPn1ZmZqZ2796tiRMnfub7Njc3y+PxKBQKKTU1tTtbBICo/dpzrOJXrHG1ruXzu9vPiQmFQpKktLQ0SVJdXZ0aGxs1YcIEp8btdquwsFBVVVWSpOrqap0/fz6ixu/3Kycnx6kBAAB9W3x37twYoyVLlujuu+9WTk6OJKmxsVGS5PV6I2q9Xq9OnDjh1CQmJmrAgAFdai69vrNwOKxwOOw8b25ujlofAACg9+nWlZiFCxfqrbfe0gsvvNBlm8vlinhujOky1tmVakpLS+XxeJxHZmbm5584AADo9bptJWbRokV65ZVX9MYbb+imm25yxn0+n6SLqy2DBg1yxpuampzVGZ/Pp7a2NgWDwYjVmKamJhUUFHzq+61atUpLlixxnjc3NxNkAEQF57sAvVPUV2KMMVq4cKFefvll/cd//IeysrIitmdlZcnn86miosIZa2trU2VlpRNQ8vLylJCQEFHT0NCgI0eOXDbEuN1upaamRjwAAEDsivpKzIIFC7Rz5079+te/VkpKinMOi8fjUVJSklwulwKBgEpKSpSdna3s7GyVlJSof//+mj59ulM7Z84cLV26VOnp6UpLS9OyZcuUm5urcePGRXvKAADAQlEPMZs3b5YkjR07NmL85z//uR5++GFJ0vLly9Xa2qr58+crGAwqPz9f5eXlSklJceo3bNig+Ph4TZkyRa2trSoqKtLWrVsVFxcX7SkDAAALdft9YnoK94kBEC2cE/PFcZ8YXK1edZ8YAACA7kCIAQAAViLEAAAAKxFiAACAlQgxAADASoQYAABgJUIMAACwEiEGAABYiRADAACsRIgBAABWIsQAAAArEWIAAICVCDEAAMBKhBgAAGAlQgwAALASIQYAAFiJEAMAAKxEiAEAAFYixAAAACsRYgAAgJUIMQAAwEqEGAAAYCVCDAAAsFJ8T08AAHrSsJWv9vQUAHxOrMQAAAArsRIDAOh2V7Pi9f5Tk67DTBBLWIkBAABWIsQAAAArEWIAAICVCDEAAMBKhBgAAGAlQgwAALASl1gDiFncyA6IbazEAAAAKxFiAACAlQgxAADASpwTAwDoFfhpAlwrVmIAAICVCDEAAMBKhBgAAGAlQgwAALASIQYAAFiJEAMAAKxEiAEAAFYixAAAACsRYgAAgJUIMQAAwEr87AAAK13NLeoBxDZWYgAAgJUIMQAAwEp8nfQ58WurAHD98f+9+CRWYgAAgJUIMQAAwEp8nQSg1+HKIwBXgxADAIgpVxuCOXfGfnydBAAArESIAQAAVuLrJADXFee7oLeI1f8W+9LXZL0+xDzzzDP6wQ9+oIaGBt12223auHGjvv71r/f0tAAA6JX60r10enWIefHFFxUIBPTMM8/orrvu0s9+9jPde++9evvttzVkyJCenh6ATmL1X7YAeieXMcb09CQuJz8/X3fccYc2b97sjN166626//77VVpaesXXNjc3y+PxKBQKKTU1Nepz60tJF7hahBggdvTUZ9i1fH732pWYtrY2VVdXa+XKlRHjEyZMUFVVVZf6cDiscDjsPA+FQpIuHozu0BE+95k13fXeQLTlrN7T01MA0MsMeeyXn1lz5ImJUX/fS5+dV7PG0mtDzP/93/+pvb1dXq83Ytzr9aqxsbFLfWlpqZ544oku45mZmd02x8/i2dhjbw0AQLfrzs+5lpYWeTyeK9b02hBzicvlinhujOkyJkmrVq3SkiVLnOcdHR36y1/+ovT09E+tj1XNzc3KzMxUfX19t3yN1pv15d4l+u/L/ffl3qW+3X8s9m6MUUtLi/x+/2fW9toQk5GRobi4uC6rLk1NTV1WZyTJ7XbL7XZHjH35y1/uzin2aqmpqTHzH/S16su9S/Tfl/vvy71Lfbv/WOv9s1ZgLum1N7tLTExUXl6eKioqIsYrKipUUFDQQ7MCAAC9Ra9diZGkJUuWaObMmRo9erTGjBmjLVu26OTJk5o3b15PTw0AAPSwXh1ipk6dqo8++khr165VQ0ODcnJytHv3bg0dOrSnp9Zrud1urV69ustXa31BX+5dov++3H9f7l3q2/335d6lXn6fGAAAgMvptefEAAAAXAkhBgAAWIkQAwAArESIAQAAViLEXEebN2/W7bff7tyUaMyYMXrttdec7cYYrVmzRn6/X0lJSRo7dqyOHj0asY9wOKxFixYpIyNDycnJmjx5sk6dOhVREwwGNXPmTHk8Hnk8Hs2cOVNnzpyJqDl58qTuu+8+JScnKyMjQ48++qja2toiampra1VYWKikpCQNHjxYa9euvarfsrhapaWlcrlcCgQCMX8M1qxZI5fLFfHw+Xwx3/cnffDBB3rooYeUnp6u/v3766tf/aqqq6v7xDEYNmxYl7+/y+XSggULYr73Cxcu6Pvf/76ysrKUlJSk4cOHa+3atero6HBqYrn/lpYWBQIBDR06VElJSSooKNChQ4f6RO/XhcF188orr5hXX33VHDt2zBw7dsx873vfMwkJCebIkSPGGGOeeuopk5KSYl566SVTW1trpk6dagYNGmSam5udfcybN88MHjzYVFRUmMOHD5t77rnHjBw50ly4cMGp+eY3v2lycnJMVVWVqaqqMjk5Oaa4uNjZfuHCBZOTk2Puuecec/jwYVNRUWH8fr9ZuHChUxMKhYzX6zUPPvigqa2tNS+99JJJSUkxP/zhD6NyLA4ePGiGDRtmbr/9drN48WJnPFaPwerVq81tt91mGhoanEdTU1PM933JX/7yFzN06FDz8MMPmzfffNPU1dWZvXv3mj/96U994hg0NTVF/O0rKiqMJPOf//mfMd/7v/7rv5r09HTz29/+1tTV1Zlf/vKX5ktf+pLZuHGjUxPL/U+ZMsWMGDHCVFZWmvfee8+sXr3apKammlOnTsV879cDIaaHDRgwwPz7v/+76ejoMD6fzzz11FPOtr/+9a/G4/GYn/70p8YYY86cOWMSEhJMWVmZU/PBBx+Yfv36mddff90YY8zbb79tJJkDBw44Nfv37zeSzB//+EdjjDG7d+82/fr1Mx988IFT88ILLxi3221CoZAxxphnnnnGeDwe89e//tWpKS0tNX6/33R0dHyhnltaWkx2drapqKgwhYWFToiJ5WOwevVqM3LkyE/dFst9X7JixQpz9913X3Z7XzgGn7R48WJz8803m46OjpjvfdKkSWb27NkRYw888IB56KGHjDGx/bc/d+6ciYuLM7/97W8jxkeOHGkef/zxmO79euHrpB7S3t6usrIyffzxxxozZozq6urU2NioCRMmODVut1uFhYWqqqqSJFVXV+v8+fMRNX6/Xzk5OU7N/v375fF4lJ+f79Tceeed8ng8ETU5OTkRP641ceJEhcNhZ3l///79KiwsjLiB0sSJE3X69Gm9//77X6j3BQsWaNKkSRo3blzEeKwfg/fee09+v19ZWVl68MEHdfz48T7RtyS98sorGj16tL7zne9o4MCBGjVqlJ599llne184Bpe0tbVpx44dmj17tlwuV8z3fvfdd+t3v/ud3n33XUnSH/7wB+3bt0/f+ta3JMX23/7ChQtqb2/XDTfcEDGelJSkffv2xXTv1wsh5jqrra3Vl770Jbndbs2bN0+7du3SiBEjnB+67Pzjll6v19nW2NioxMREDRgw4Io1AwcO7PK+AwcOjKjp/D4DBgxQYmLiFWsuPe/8o5zXoqysTIcPH1ZpaWmXbbF8DPLz8/X8889rz549evbZZ9XY2KiCggJ99NFHMd33JcePH9fmzZuVnZ2tPXv2aN68eXr00Uf1/PPPR+w3lo/BJb/61a905swZPfzwwxH7i9XeV6xYoWnTpumWW25RQkKCRo0apUAgoGnTpsV8/ykpKRozZoz+5V/+RadPn1Z7e7t27NihN998Uw0NDTHd+/XSq392IBZ95StfUU1Njc6cOaOXXnpJs2bNUmVlpbPd5XJF1Btjuox11rnm0+qjUWP+/8ldnzWfy6mvr9fixYtVXl7e5V8mnxSLx+Dee+91/ndubq7GjBmjm2++Wdu2bdOdd9552feyve9LOjo6NHr0aJWUlEiSRo0apaNHj2rz5s36+7//+yu+b6wcg0uee+453XvvvRH/Ir7c+8VC7y+++KJ27NihnTt36rbbblNNTY0CgYD8fr9mzZp1xfeMhf63b9+u2bNna/DgwYqLi9Mdd9yh6dOn6/Dhw1d8v1jo/XpgJeY6S0xM1N/8zd9o9OjRKi0t1ciRI/Vv//ZvzpUqndNuU1OTk4R9Pp/a2toUDAavWPPnP/+5y/t++OGHETWd3ycYDOr8+fNXrGlqapLU9V8NV6u6ulpNTU3Ky8tTfHy84uPjVVlZqR//+MeKj4+/bOKPpWNwSXJysnJzc/Xee+/1ib/9oEGDNGLEiIixW2+9VSdPnnTeU4rtYyBJJ06c0N69e/UP//APzlis9/7d735XK1eu1IMPPqjc3FzNnDlTjz32mLMaG+v933zzzaqsrNTZs2dVX1+vgwcP6vz588rKyor53q8HQkwPM8YoHA47/0FXVFQ429ra2lRZWamCggJJUl5enhISEiJqGhoadOTIEadmzJgxCoVCOnjwoFPz5ptvKhQKRdQcOXJEDQ0NTk15ebncbrfy8vKcmjfeeCPi8rvy8nL5/X4NGzbsc/VaVFSk2tpa1dTUOI/Ro0drxowZqqmp0fDhw2P+GFwSDof1zjvvaNCgQX3ib3/XXXfp2LFjEWPvvvuu82OufeEYSNLPf/5zDRw4UJMmTXLGYr33c+fOqV+/yI+auLg45xLrWO//kuTkZA0aNEjBYFB79uzRt7/97T7Te7fq3vOG8UmrVq0yb7zxhqmrqzNvvfWW+d73vmf69etnysvLjTEXL7XzeDzm5ZdfNrW1tWbatGmfeqndTTfdZPbu3WsOHz5s/u7v/u5TL7W7/fbbzf79+83+/ftNbm7up15qV1RUZA4fPmz27t1rbrrppohL7c6cOWO8Xq+ZNm2aqa2tNS+//LJJTU2N+qV2n7w6KZaPwdKlS81//dd/mePHj5sDBw6Y4uJik5KSYt5///2Y7vuSgwcPmvj4ePPkk0+a9957z/ziF78w/fv3Nzt27HBqYv0YtLe3myFDhpgVK1Z02RbLvc+aNcsMHjzYucT65ZdfNhkZGWb58uV9ov/XX3/dvPbaa+b48eOmvLzcjBw50vzt3/6taWtri/nerwdCzHU0e/ZsM3ToUJOYmGhuvPFGU1RU5AQYYy5earh69Wrj8/mM2+023/jGN0xtbW3EPlpbW83ChQtNWlqaSUpKMsXFxebkyZMRNR999JGZMWOGSUlJMSkpKWbGjBkmGAxG1Jw4ccJMmjTJJCUlmbS0NLNw4cKIy+qMMeatt94yX//6143b7TY+n8+sWbMm6pfZdQ4xsXoMLt37ISEhwfj9fvPAAw+Yo0ePxnzfn/Sb3/zG5OTkGLfbbW655RazZcuWiO2xfgz27NljJJljx4512RbLvTc3N5vFixebIUOGmBtuuMEMHz7cPP744yYcDveJ/l988UUzfPhwk5iYaHw+n1mwYIE5c+ZMn+j9enAZ05tvxQcAAPDpOCcGAABYiRADAACsRIgBAABWIsQAAAArEWIAAICVCDEAAMBKhBgAAGAlQgwAALASIQYAAFiJEAMAAKxEiAEAAFYixAAAACv9Pxq65PADywngAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Restart\n",
    "HDunitList = [latestHDlist[t].copy() for t in range(nHDs)]\n",
    "unitUse = [0. for u in range(nUnits) ]\n",
    "HDvPop = [np.sum([unitPop[u] for u in HDunitList[t] ]) for t in range(nHDs) ]\n",
    "\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += HDweight[t] * nDistricts\n",
    "plt.hist(unitUse, weights = unitPop,bins = 50)\n",
    "plt.show()\n",
    "plt.hist([HDvPop[t] for t in popHDlist], bins=50)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 236,
   "id": "27b51cd0-8bb6-4b16-bb79-37498e59ce5c",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "We will now square up the 4470 HDs with pop < 746408 to within 1087\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 1 to skip enclave checking for each added unit -- this is much faster but requires postprocessing 1\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "working on squaring up HD 0 time is now 0\n",
      "working on squaring up HD 572 time is now 44\n",
      "working on squaring up HD 1171 time is now 84\n",
      "working on squaring up HD 1836 time is now 111\n",
      "working on squaring up HD 2411 time is now 162\n",
      "working on squaring up HD 3013 time is now 186\n",
      "working on squaring up HD 3597 time is now 227\n",
      "working on squaring up HD 4159 time is now 253\n",
      "working on squaring up HD 4662 time is now 278\n",
      "We have addressed underpop in a total of 4470 HDs\n",
      "Here is a scatterplot of original (x) to final pop (y)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#SQUARING UP UNDERPOPPED - new for IN, we give user option of a faster fill\n",
    "HDnAddedUnits, HDaddedPop = [0]*nHDs, [0.]*nHDs\n",
    "underPoppedList = list()\n",
    "minDistrictPop, maxDistrictPop = 0.99 * aDP, 1.01 * aDP\n",
    "for t,pop in enumerate(HDvPop):\n",
    "    if pop < minDistrictPop and t in popHDlist:\n",
    "        underPoppedList.append(t)\n",
    "print(\"We will now square up the\",len(underPoppedList),\"HDs with pop <\",int(minDistrictPop),\"to within\",int(maxGap) )\n",
    "useFastFill = int(input(\"enter 1 to skip enclave checking for each added unit -- this is much faster but requires postprocessing\"))\n",
    "startTime = time.time()\n",
    "maxGap = 0.9 * np.median(unitPop) \n",
    "for ii,t in enumerate(underPoppedList):\n",
    "    if ii%500 == 0:\n",
    "        print(\"working on squaring up HD\",t,\"time is now\",int(time.time() - startTime)) \n",
    "    gap = aDP - HDvPop[t]\n",
    "    origGap = gap\n",
    "    nearHDlist, nearHDscore = list(), list()  #these will be dynamic lists of the nearby underused units\n",
    "    for u in HDunitList[t]:\n",
    "        for uu in unitNbrs[u]:\n",
    "            if uu not in HDunitList[t] and uu not in nearHDlist and unitPop[uu] < gap + maxGap:\n",
    "                nearHDlist.append(uu)   #below line: bias toward close, underused\n",
    "                nearHDscore.append((unitUse[uu]-1.) + unitCP[uu].distance(hdCP[t]) / avgDist[t] )  \n",
    "    currList = HDunitList[t].copy()\n",
    "    addedList = list()\n",
    "    stillGoing = True\n",
    "    while gap > maxGap and len(nearHDlist) > 0 and stillGoing:   #add the lowest-scoring neighboring underused unit until we've roughly squared the HDpop\n",
    "        nearHDtotalScore = nearHDscore.copy()\n",
    "        for jj, uu in enumerate(nearHDlist):\n",
    "            nHDnbrs = len( set(unitNbrs[uu]).intersection(set(currList)) )\n",
    "            if nHDnbrs == 1:\n",
    "                nearHDtotalScore[jj] += 1   #suppress slender chains  \n",
    "        if useFastFill == 1: #all adds allowed except those that create border enclaves              \n",
    "            currHDtouchesBorder = False\n",
    "            currHDborderSet = set(currList).intersection(borderSet)\n",
    "            nonHDborderSet = borderSet.difference(currHDborderSet)\n",
    "            adjBorderUnitSet = set()  #the on-border nonHD neighbors of HD units on the map border; these are legit to add\n",
    "            for u in currHDborderSet:\n",
    "                adjBorderUnitSet = adjBorderUnitSet.union(set(unitNbrs[u]).intersection(nonHDborderSet) )\n",
    "            nonAdjBorderUnitSet = nonHDborderSet.difference(adjBorderUnitSet) #these CANNOT be added; would create border enclave\n",
    "            if len( currHDborderSet ) > 0:\n",
    "                currHDtouchesBorder = True\n",
    "        idx, i, notYetPicked = np.argsort(nearHDtotalScore), 0, True\n",
    "        while i < len(nearHDscore) and notYetPicked:        \n",
    "            listNo = idx[i]   #nearHDscore.index(np.min(nearHDscore))\n",
    "            unitNoToAdd = nearHDlist[listNo]  #add this unit ...\n",
    "            if useFastFill == 1: #i.e. skip the check for internal enclaves; will polish in a below block\n",
    "                canAdd = True\n",
    "                if currHDtouchesBorder:\n",
    "                    canAdd = unitNoToAdd not in nonAdjBorderUnitSet\n",
    "            else:\n",
    "                canAdd  = wontEnclave(unitNoToAdd, currList, unitNbrs, borderUnits)\n",
    "            if canAdd: \n",
    "                notYetPicked = False\n",
    "            else:\n",
    "                i +=1\n",
    "        if notYetPicked:\n",
    "            stillGoing = False  #can't add any more units without creating an enclave\n",
    "        else:\n",
    "            gap -= unitPop[unitNoToAdd]\n",
    "            addedList.append(unitNoToAdd)\n",
    "            currList.append( unitNoToAdd)\n",
    "            for uu in unitNbrs[unitNoToAdd]:             # ... and add its nonHD neighbors to future candidates\n",
    "                if uu not in currList and uu not in nearHDlist and unitPop[uu] < gap + maxGap:  \n",
    "                    nearHDlist.append(uu)\n",
    "                    nearHDscore.append((unitUse[uu]-1.) + unitCP[uu].distance(hdCP[t]) / avgDist[t] )  #bias toward close, underused\n",
    "            del nearHDscore[nearHDlist.index(unitNoToAdd)]        \n",
    "            del nearHDlist[ nearHDlist.index(unitNoToAdd) ]\n",
    "            for i, uu in enumerate(nearHDlist.copy()):\n",
    "                if unitPop[uu] > gap + maxGap:   #with the added pop from another unit, this unit is now too big to add\n",
    "                    del nearHDscore[nearHDlist.index(uu)]\n",
    "                    del nearHDlist[ nearHDlist.index(uu)]\n",
    "    for u in addedList:\n",
    "        unitUse[u] += HDweight[t] * nDistricts\n",
    "    HDunitList[t] += addedList\n",
    "    HDvPop[t]    = np.sum( [unitPop[u] for u in HDunitList[t] ] )\n",
    "    HDnAddedUnits[t] = len(addedList)\n",
    "    HDaddedPop[t] = np.sum( [unitPop[u] for u in addedList] )\n",
    "    if HDvPop[t] > maxDistrictPop:\n",
    "        print(\"Oops! HD\",t,\"now has overshot pop =\",int(HDvPop[t]),\"not\",int(aDP),\"after adding\",HDaddedPop[t] )\n",
    "print(\"We have addressed underpop in a total of\",len(underPoppedList),\"HDs\")\n",
    "print(\"Here is a scatterplot of original (x) to final pop (y)\")\n",
    "plt.scatter([HDvPop[t] - HDaddedPop[t] for t in underPoppedList], [HDvPop[t] for t in underPoppedList])\n",
    "plt.axhline(y=aDP, xmin = 0.9*aDP, xmax = 1.1*aDP, ls=\"--\")\n",
    "plt.axvline(x=aDP, ymin = 0.9*aDP, ymax = 1.1*aDP, ls=\"--\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 237,
   "id": "7d43cbd7-b1e4-4797-a9f5-4a274a5bd864",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "We used fast-fill, so we may have generated internal enclaves.  Let's fill them if small\n",
      "working on HD 0\n",
      "working on HD 349\n",
      "working on HD 691\n",
      "working on HD 1047\n",
      "working on HD 1455\n",
      "working on HD 1836\n",
      "working on HD 2179\n",
      "working on HD 2523\n",
      "working on HD 2890\n",
      "working on HD 3252\n",
      "working on HD 3597\n",
      "working on HD 3958\n",
      "working on HD 4259\n",
      "working on HD 4562\n",
      "working on HD 4866\n",
      "All done attempting to fill enclaves.  We examined 4470 HDs that we recently filled to pop\n",
      "Of these, 3618 didn't have any enclaves to fill, while we filled 852 .  We failed to fill 0 due to high ePop\n",
      "Here is the updated histogram of HD populations\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "if useFastFill == 1:\n",
    "    print(\"We used fast-fill, so we may have generated internal enclaves.  Let's fill them if small\")\n",
    "    enclavers, nonEnclavers, filledEnclavers, failedEnclavers = list(), list(), list(), list()\n",
    "    for jj,t in enumerate(underPoppedList):\n",
    "        if jj%300 == 0:\n",
    "            print(\"working on HD\",t)\n",
    "        currList, addedList = HDunitList[t].copy(), list()\n",
    "        eLists = getEnclaveLists(HDunitList[t], unitNbrs)\n",
    "        if len(eLists) == 0:\n",
    "            nonEnclavers.append(t)\n",
    "        else:\n",
    "            enclavers.append(t)\n",
    "            ePop = np.sum([np.sum([unitPop[u] for u in eL]) for eL in eLists])\n",
    "            #print(t,\"has\",len(eLists),\"enclave lists after triage fill-in with pop gap\",gap,\". The total enclave pop is\",ePop )\n",
    "            if ePop < 0.02 * aDP:\n",
    "                filledEnclavers.append(t)\n",
    "                for eL in eLists:\n",
    "                    addedList += eL\n",
    "                    currList += eL\n",
    "                #eLists = getEnclaveLists(currList, unitNbrs)  #integrity check\n",
    "                #print(\"  I filled in enclaves for HD\",t,\". Now it has\",len(eLists),\"enclaves\")\n",
    "                for u in addedList:\n",
    "                    unitUse[u] += HDweight[t] * nDistricts      \n",
    "                HDunitList[t] = currList + addedList\n",
    "                HDvPop[t]    = np.sum( [unitPop[u] for u in HDunitList[t] ] )\n",
    "                #print(\"final pop of HD\",t,\"is\",HDvPop[t],\"vs aDP\",aDP)\n",
    "            else:\n",
    "                print(\"  Sorry, the ePop\",ePop,\"is too big to fill for HD\",t) \n",
    "                failedEnclavers.append(t)\n",
    "    print(\"All done attempting to fill enclaves.  We examined\",len(underPoppedList),\"HDs that we recently filled to pop\")\n",
    "    print(\"Of these,\",len(nonEnclavers),\"didn't have any enclaves to fill, while we filled\",len(filledEnclavers),\n",
    "          \".  We failed to fill\",len(failedEnclavers),\"due to high ePop\")\n",
    "    print(\"Here is the updated histogram of HD populations\")\n",
    "    plt.hist([HDvPop[t] for t in popHDlist],label=\"all\")\n",
    "    plt.hist([HDvPop[t] for t in underPoppedList], label=\"underP\")\n",
    "    plt.legend()\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1974c284-11b2-44da-8935-29073b72e541",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 239,
   "id": "bc01409d-d9e4-43a6-9fae-c76aa7bdc855",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "previous unit avg and sd usage are 0.9318 0.12661\n",
      "amped unit avg and sd usage are 1.00444 0.10357\n"
     ]
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "prevUnitUse = [0.]*nUnits\n",
    "for t in popHDlist:\n",
    "    for u in latestHDlist[t]:\n",
    "        prevUnitUse[u] += HDweight[t] * nDistricts\n",
    "\n",
    "ampedUnitUse = [0. for u in range(nUnits)]\n",
    "ampedHDlist = [HDunitList[t].copy() for t in range(nHDs)]\n",
    "ampedHDpop = [HDvPop[t] for t in range(nHDs) ]\n",
    "for t in popHDlist:\n",
    "    for u in ampedHDlist[t]:\n",
    "        ampedUnitUse[u] += HDweight[t] * nDistricts   #KISS - recalc these\n",
    "plt.hist(prevUnitUse,bins=50,weights=unitPop,label=\"previous\",histtype=\"step\")\n",
    "plt.hist(ampedUnitUse, bins=50, weights=unitPop,label=\"amped\",histtype=\"step\")\n",
    "plt.legend()\n",
    "ampedUnitUseAvg, ampedUnitUseSD = getWeightedAvgAndSD(ampedUnitUse,unitPop)\n",
    "print(\"previous unit avg and sd usage are\",r5(latestAvg), r5(latestSD) )\n",
    "print(\"amped unit avg and sd usage are\",r5(ampedUnitUseAvg), r5(ampedUnitUseSD) )\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 244,
   "id": "797b8d3c-8adc-489c-9794-d3a0e07852d2",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{5210, 5211}\n",
      "502 HDs with pop/aDP >  1.01\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(barredJettisonSet)\n",
    "overPoppedList = list()\n",
    "for t,pop in enumerate(HDvPop):\n",
    "    if pop > maxDistrictPop and t in popHDlist:\n",
    "        overPoppedList.append(t)\n",
    "print(len(overPoppedList),\"HDs with pop/aDP > \",r3(maxDistrictPop/aDP) )\n",
    "plt.hist([HDvPop[t] for t in overPoppedList],bins=20)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 245,
   "id": "dd7d9818-344c-4150-917b-57a4ee051c92",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Continuing with narrowing the distro.  This loop: remove overused units from overpopped HDs\n",
      "Let's now square down the 502 overPopped HDs to within 1087\n",
      "working on squaring down HD 5\n",
      "working on squaring down HD 95\n",
      "working on squaring down HD 105\n",
      "working on squaring down HD 209\n",
      "working on squaring down HD 252\n",
      "working on squaring down HD 513\n",
      "working on squaring down HD 579\n",
      "working on squaring down HD 736\n",
      "working on squaring down HD 815\n",
      "working on squaring down HD 882\n",
      "working on squaring down HD 935\n",
      "working on squaring down HD 1100\n",
      "working on squaring down HD 1188\n",
      "working on squaring down HD 1275\n",
      "working on squaring down HD 1295\n",
      "working on squaring down HD 1307\n",
      "working on squaring down HD 1342\n",
      "working on squaring down HD 1468\n",
      "working on squaring down HD 1549\n",
      "working on squaring down HD 1586\n",
      "working on squaring down HD 1606\n",
      "working on squaring down HD 1635\n",
      "working on squaring down HD 1663\n",
      "working on squaring down HD 1701\n",
      "working on squaring down HD 1724\n",
      "working on squaring down HD 1779\n",
      "working on squaring down HD 1811\n",
      "working on squaring down HD 1825\n",
      "working on squaring down HD 1927\n",
      "working on squaring down HD 1942\n",
      "working on squaring down HD 1953\n",
      "working on squaring down HD 2221\n",
      "working on squaring down HD 2513\n",
      "working on squaring down HD 2710\n",
      "working on squaring down HD 2857\n",
      "working on squaring down HD 2937\n",
      "working on squaring down HD 2964\n",
      "working on squaring down HD 3216\n",
      "working on squaring down HD 3248\n",
      "working on squaring down HD 3440\n",
      "working on squaring down HD 3492\n",
      "working on squaring down HD 3603\n",
      "working on squaring down HD 3679\n",
      "working on squaring down HD 3704\n",
      "working on squaring down HD 3733\n",
      "working on squaring down HD 3794\n",
      "working on squaring down HD 3830\n",
      "working on squaring down HD 3891\n",
      "working on squaring down HD 3908\n",
      "working on squaring down HD 5118\n",
      "working on squaring down HD 5155\n",
      "We have addressed underpop in a total of 4470 HDs\n",
      "We have addressed overpop in a total of 502 HDs\n",
      "Here is a scatterplot of original to final pop\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#SQUARING DOWN\n",
    "print(\"Continuing with narrowing the distro.  This loop: remove overused units from overpopped HDs\")\n",
    "HDunitList = [ampedHDlist[t].copy() for t in range(nHDs)]\n",
    "HDvPop =     [ampedHDpop[t]         for t in range(nHDs)]\n",
    "unitUse =    [ampedUnitUse[u]       for u in range(nUnits)] #saving in case I need to re-run\n",
    "HDnShedUnits = [0]*nHDs\n",
    "overPoppedList = list()\n",
    "startTime = time.time()\n",
    "for t,pop in enumerate(HDvPop):\n",
    "    if pop > maxDistrictPop and t in popHDlist:\n",
    "        overPoppedList.append(t)\n",
    "\n",
    "maxGap = 0.9 * np.median(unitPop)   \n",
    "print(\"Let's now square down the\",len(overPoppedList),\"overPopped HDs to within\", int(maxGap))   \n",
    "for ii,t in enumerate(overPoppedList):\n",
    "    if ii%10 == 0:\n",
    "        print(\"working on squaring down HD\",t,\". Time is now\", int(time.time() - startTime))\n",
    "    #avgDist = np.sum([unitPop[u]*unitCP[u].distance(hdCP[t]) for u in HDunitList[t] ]) / HDvPop[t]\n",
    "    excess = HDvPop[t] - aDP\n",
    "    origExcess = excess\n",
    "    HDboundaryList, HDboundaryScore = list(), list()  #these will be dynamic lists of the overused border units to jettison\n",
    "    starterU = HDunitList[t][distList.index(np.min(distList))]\n",
    "    barredSet = set(get2nbrs([starterU],unitNbrs)).union(barredJettisonSet)\n",
    "\n",
    "    for u in set(HDunitList[t]).difference(barredSet):\n",
    "        isBoundary = False\n",
    "        for uu in unitNbrs[u]:\n",
    "            if uu not in HDunitList[t]:\n",
    "                isBoundary = True\n",
    "                break\n",
    "        if isBoundary and HDvPop[t] - unitPop[u] > aDP - maxGap:  #shedding this unit won't send us too far under targetpop\n",
    "            HDboundaryList.append(u)\n",
    "            HDboundaryScore.append((1. - unitUse[u]) - unitCP[u].distance(hdCP[t]) / avgDist[t])  #low-score = bias toward far, overused\n",
    "    currList = HDunitList[t].copy()\n",
    "    shedList, stillGoing = list(), True\n",
    "    while excess > maxGap and len(HDboundaryList) > 0:   #shed the highest-scoring neighboring overused unit until we've roughly squared the HDpop\n",
    "        idx, i, notYetPicked = np.argsort(HDboundaryScore), 0, True\n",
    "        while i < len(HDboundaryScore) and notYetPicked:        \n",
    "            listNo = idx[i]   #low (large negative) score is preferred to shed\n",
    "            unitNoToShed = HDboundaryList[listNo]  # attempt to shed this unit ...\n",
    "            tryList = list(set(currList).difference( {unitNoToShed} ) )\n",
    "            unbroken, __ = isContiguous(tryList,unitNbrs)  #NEW for IN - since we can't enclave by removing units, just check cont'y\n",
    "            if unbroken:   \n",
    "            #unbroken, noEnclave, sPL, ePL = enclaveCheck(tryList,unitNbrs) \n",
    "            #if unbroken and noEnclave:             #... if that won't eff up contiguity\n",
    "                notYetPicked = False\n",
    "            else:\n",
    "                i +=1\n",
    "        if notYetPicked:\n",
    "            stillGoing = False  #can't add any more units without creating an enclave\n",
    "        else: #add this eligible unit\n",
    "            shedList.append(unitNoToShed)\n",
    "            excess -= unitPop[unitNoToShed]        \n",
    "            del currList[currList.index(unitNoToShed) ]\n",
    "            del HDboundaryList[listNo]\n",
    "            del HDboundaryScore[listNo]\n",
    "            for u in unitNbrs[unitNoToShed]:      # ... and ID any neighboring units that will now be on boundary after we shed this unit\n",
    "                if u in currList and u not in HDboundaryList and (unitPop[u] <= excess + maxGap and\n",
    "                                                                  u not in barredSet): \n",
    "                    HDboundaryList.append(u)\n",
    "                    HDboundaryScore.append( (1. - unitUse[u]) - unitCP[u].distance(hdCP[t]) / avgDist[t] )  #low-score, bias toward far & overused       \n",
    "            for uu in HDboundaryList.copy():\n",
    "                if unitPop[uu] > excess + maxGap:  #checking to see if the latest pop change DQ's any large units on current boundary\n",
    "                    del HDboundaryScore[HDboundaryList.index(uu)]\n",
    "                    del HDboundaryList[HDboundaryList.index(uu)]                \n",
    "    for u in shedList:\n",
    "        unitUse[u] -= HDweight[t] * nDistricts\n",
    "    HDunitList[t], HDvPop[t] = currList.copy(), np.sum( [unitPop[u] for u in currList ] )    \n",
    "    if HDvPop[t] < minDistrictPop:\n",
    "        print(\"Oops! HD\",t,\"now has undershot pop =\",int(HDvPop[t]),\"not\",int(aDP),\"after shedding\",\n",
    "             np.sum([unitPop[u] for u in shedList]) )\n",
    "    \n",
    "    HDnShedUnits[t] = -1 * len(shedList)\n",
    "print(\"We have addressed underpop in a total of\",len(underPoppedList),\"HDs\")\n",
    "\n",
    "print(\"We have addressed overpop in a total of\",len(overPoppedList),\"HDs\")\n",
    "print(\"Here is a scatterplot of original to final pop\")\n",
    "plt.scatter([ampedHDpop[t] for t in overPoppedList], [HDvPop[t] for t in overPoppedList])\n",
    "plt.axhline(aDP, 0.9*aDP, 1.1*aDP, ls=\"--\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 246,
   "id": "9a19b23e-43cc-4609-9ee7-6d1057a7a9e1",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Here are the stats prior to any equi-pop patching\n",
      "orig unit avg and sd usage are 0.9318 0.12661\n",
      "amped unit avg and sd usage are 1.00444 0.10357\n",
      "shed unit avg and sd usage are 0.99994 0.10032\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "and here are the final populations\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "checking contiguity of final HDs\n",
      "working on HD 0 out of 5159\n",
      "working on HD 301 out of 5159\n",
      "working on HD 605 out of 5159\n",
      "working on HD 908 out of 5159\n",
      "working on HD 1210 out of 5159\n",
      "working on HD 1518 out of 5159\n",
      "working on HD 1824 out of 5159\n",
      "working on HD 2126 out of 5159\n",
      "working on HD 2428 out of 5159\n",
      "working on HD 2731 out of 5159\n",
      "working on HD 3033 out of 5159\n",
      "working on HD 3338 out of 5159\n",
      "working on HD 3644 out of 5159\n",
      "working on HD 3947 out of 5159\n",
      "working on HD 4247 out of 5159\n",
      "working on HD 4550 out of 5159\n",
      "working on HD 4852 out of 5159\n",
      "working on HD 5153 out of 5159\n",
      "all done checking HD and complement contiguity for all 5159 HDs\n",
      "underpop contigFail, enclaveFail = 0 0 out of 4470\n",
      "overpop contigFail, enclaveFail = 0 0 out of 502\n",
      "total contigFail, enclaveFail =  0 0\n",
      "CCB unit 5210 with pop 238369.0 now has use 0.93717\n",
      "CCB unit 5211 with pop 118146.0 now has use 1.00022\n"
     ]
    }
   ],
   "source": [
    "print(\"Here are the stats prior to any equi-pop patching\")\n",
    "shedUnitUse = [0. for u in range(nUnits)]\n",
    "shedHDlist = [HDunitList[t].copy() for t in range(nHDs)]\n",
    "shedHDpop = [HDvPop[t] for t in range(nHDs) ]\n",
    "for t in popHDlist:\n",
    "    for u in shedHDlist[t]:\n",
    "        shedUnitUse[u] += HDweight[t] * nDistricts   #KISS - recalc these\n",
    "plt.hist(latestUnitUse,bins=50,weights=unitPop,label=\"pre-squaring\",histtype=\"step\")\n",
    "plt.hist(ampedUnitUse, bins=50, weights=unitPop,label=\"amped\",histtype=\"step\")\n",
    "plt.hist(shedUnitUse, bins=50, weights=unitPop,label=\"shed\",histtype=\"step\")\n",
    "plt.legend()\n",
    "shedUnitUseAvg, shedUnitUseSD = getWeightedAvgAndSD(shedUnitUse,unitPop)\n",
    "print(\"orig unit avg and sd usage are\",r5(latestAvg), r5(latestSD) )\n",
    "print(\"amped unit avg and sd usage are\",r5(ampedUnitUseAvg), r5(ampedUnitUseSD) )\n",
    "print(\"shed unit avg and sd usage are\", r5(shedUnitUseAvg),  r5(shedUnitUseSD) )\n",
    "plt.show()\n",
    "# note: when I ran this early Jan, went from 0.12662 to 0.09961 to 0.09432 SD orig-amped-shed, but contig not yet done\n",
    "print(\"and here are the final populations\")\n",
    "plt.hist([shedHDpop[t] for t in popHDlist],bins=20)\n",
    "plt.show()\n",
    "print(\"checking contiguity of final HDs\")\n",
    "failEnclaveSet, failContigSet = set(), set()\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%300 == 0:\n",
    "        print(\"working on HD\",t,\"out of\",nHDs)\n",
    "    unbroken, noEnclave, sList, eList = enclaveCheck(HDunitList[t], unitNbrs,5)\n",
    "    if not noEnclave:\n",
    "        noEnclave, eList = isContiguous(list({u for u in range(nUnits)}.difference(set(HDunitList[t]))),unitNbrs)\n",
    "    if not unbroken or not noEnclave:\n",
    "        #print(\"uh-oh, HD\",t,\"has contiguity, complement-contiguity of\",unbroken, noEnclave)\n",
    "        pass\n",
    "    if not unbroken:\n",
    "        failContigSet.add(t)\n",
    "    if not noEnclave:\n",
    "        failEnclaveSet.add(t)\n",
    "print(\"all done checking HD and complement contiguity for all\",nHDs,\"HDs\")\n",
    "failContigUnderpopped, failEnclaveUnderpopped = set(underPoppedList).intersection(failContigSet), set(underPoppedList).intersection(failEnclaveSet)\n",
    "failContigOverpopped, failEnclaveOverpopped = set(overPoppedList).intersection(failContigSet), set(overPoppedList).intersection(failEnclaveSet)\n",
    "print(\"underpop contigFail, enclaveFail =\",len(failContigUnderpopped), len(failEnclaveUnderpopped),\"out of\",len(underPoppedList))\n",
    "print(\"overpop contigFail, enclaveFail =\",len(failContigOverpopped), len(failEnclaveOverpopped),\"out of\",len(overPoppedList))\n",
    "print(\"total contigFail, enclaveFail = \",len(failContigSet), len(failEnclaveSet) )\n",
    "for u in range(nUnits):\n",
    "    if abs( allUnits[u]%1 - 0.25) < 0.01:\n",
    "        print(\"CCB unit\",u,\"with pop\",unitPop[u],\"now has use\",r5(unitUse[u]) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 247,
   "id": "e7bfa674-8fc8-42c8-86e9-76d334d3c47c",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "HDvPop = [0. for t in range(nHDs)]  #writing UNIT lists to a file\n",
    "tList = [t for t in range(nHDs)]\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        HDvPop[t] += unitPop[u]\n",
    "outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDunitList\":HDunitList,\n",
    "                      \"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "outname = STATE+str(int(nHDs))+\"unpatchedContigGoodPop.csv\" #\"contigUnpatchedB.csv\"\n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "outDF.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 430,
   "id": "c0c3a3d8-cf79-40ad-aa2e-b6793266f1d4",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "prior to patching, write these contiguous lists to a file, converting to vtd lists\n"
     ]
    }
   ],
   "source": [
    "#SKIP THIS FOR STATES WITH FRAGMENTED VTD'S ###########\n",
    "print(\"prior to patching, write these contiguous lists to a file, converting to vtd lists\")\n",
    "tList = [t for t in range(nHDs)]\n",
    "vtdList = [list() for t in range(nHDs)]\n",
    "unitVTDlist = [list() for u in range(nUnits)]\n",
    "for u in range(nUnits):\n",
    "    if allUnits[u] % 1 == 0.5 :\n",
    "        c = int(allUnits[u])\n",
    "        unitVTDlist[u] = countyTractList[c].copy()\n",
    "    if allUnits[u] % 1 == 0.25 :\n",
    "        CCBnumber = int(allUnits[u])\n",
    "        for c in CCBlist[CCBnumber] :\n",
    "            unitVTDlist[u] += countyTractList[c]\n",
    "    if allUnits[u] % 1 == 0:\n",
    "        unitVTDlist[u] = [allUnits[u]]\n",
    "        for i,uu in enumerate(surrounders):\n",
    "            if u == uu:\n",
    "                unitVTDlist[u].append(surroundedVTDs[i])\n",
    "\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        vtdList[t] += unitVTDlist[u]\n",
    "    #add more stuff here to convert to vtd lists\n",
    "outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDvtdList\":vtdList,\n",
    "                      \"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "outname = STATE+str(int(nHDs))+\"needsEnclaveRemoval.csv\" #\"contigUnpatchedB.csv\"\n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "outDF.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "1b794580-5a58-4238-b310-7c87872ed679",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "this optional RESTART block pulls in an existing UNIT (not vtd) list for patching\n",
      "Must have already established unitGeoms, pops, topology\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter the unpatched UNIT list, e.g. ./2024state_HD_output/FL7211unpatchedContigGoodPop.csv ./2024state_HD_output/FL7211unpatchedContigGoodPop.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "I read in 7211 HD lists of units\n",
      "orig unit avg and sd usage are 0.99944 0.12336\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"this optional RESTART block pulls in an existing UNIT (not vtd) list for patching\") #vtdlist for patching\")\n",
    "print(\"Must have already established unitGeoms, pops, topology\")\n",
    "infile = input(\"enter the unpatched UNIT list, e.g. ./2024state_HD_output/FL7211unpatchedContigGoodPop.csv\")\n",
    "inDF = pd.read_csv(infile)\n",
    "vtdListString = inDF[\"HDunitList\"]  #inDF[\"HDvtdList\"]\n",
    "nHDs = len(vtdListString)\n",
    "inVTDlist = [ast.literal_eval(vtdListString[t]) for t in range(nHDs)]\n",
    "HDweight = inDF[\"HDweight\"]\n",
    "HDvPop = inDF[\"HDvPop\"].to_list()\n",
    "hdCPx, hdCPy = inDF[\"centroid x\"], inDF[\"centroid y\"]\n",
    "hdCP = [Point(hdCPx[t], hdCPy[t]) for t in range(nHDs)]\n",
    "print(\"I read in\",nHDs,\"HD lists of units\") #vtds\")\n",
    "HDunitList = [inVTDlist[t].copy() for t in range(nHDs)]\n",
    "#HDunitList = [list() for t in range(nHDs)]\n",
    "#for t in range(nHDs):\n",
    "#    if t%500 == 0:\n",
    "#        print(\"working on converting HD\",t,\"from vtd list to unit list\")\n",
    "#    for v in inVTDlist[t]:  #this will skip over surrounded units, whose pops we have added to their surrounders\n",
    "#        if v in allUnits:\n",
    "#            HDunitList[t].append(allUnits.index(v))\n",
    "#    for c in unitCounties:\n",
    "#        if countyTractList[c][0] in inVTDlist[t]:\n",
    "#            u = allUnits.index(c+0.5)\n",
    "#            HDunitList[t].append(u)\n",
    "#    for j, L in enumerate(CCBlist):\n",
    "#        c = L[0]\n",
    "#        if countyTractList[c][0] in inVTDlist[t]:\n",
    "#            u = allUnits.index(j+0.25)\n",
    "#            HDunitList[t].append(u) \n",
    "            \n",
    "unitUse = [0. for u in range(nUnits)]\n",
    "for t in range(nHDs):\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += HDweight[t] * nDistricts\n",
    "plt.hist(unitUse, bins=50, weights=unitPop,label=\"read-in\",histtype=\"step\")\n",
    "plt.legend()\n",
    "unpatchedAvg, unpatchedSD = getWeightedAvgAndSD(unitUse,unitPop)\n",
    "print(\"orig unit avg and sd usage are\",r5(unpatchedAvg), r5(unpatchedSD) )\n",
    "plt.show()\n",
    "currAvg, currSD = unpatchedAvg, unpatchedSD"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "5f3a5392-11f1-4061-a458-aecd834b2748",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "working on HD 0\n",
      "working on HD 500\n",
      "working on HD 1000\n",
      "working on HD 1500\n",
      "working on HD 2000\n",
      "working on HD 2500\n",
      "working on HD 3000\n",
      "working on HD 3500\n",
      "working on HD 4000\n",
      "working on HD 4500\n",
      "working on HD 5000\n",
      "working on HD 5500\n",
      "working on HD 6000\n",
      "working on HD 6500\n",
      "working on HD 7000\n",
      "all avgDist to HD centers computed\n"
     ]
    }
   ],
   "source": [
    "#needed for restart only  about 5sec per 2000 HDs\n",
    "avgDist = [0. for t in range(nHDs)]\n",
    "popHDlist = list()\n",
    "for t in range(nHDs):\n",
    "    if t%800 == 0:\n",
    "        print(\"working on HD\",t)\n",
    "    if HDvPop[t] > 0.1 * aDP:\n",
    "        avgDist[t] = np.sum([unitPop[u]*unitCP[u].distance(hdCP[t]) for u in HDunitList[t] ]) / HDvPop[t]\n",
    "        popHDlist.append(t)\n",
    "print(\"all avgDist to HD centers computed\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "ea0db02f-9df8-4906-acb4-086c29c0fcc1",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "working on HD 300\n",
      "working on HD 600\n",
      "working on HD 900\n",
      "working on HD 1200\n",
      "working on HD 1500\n",
      "out of 1652 total HDs, there were 1652 0 0 0 HDs that were clean, discontig only, enclave-only, both problems after triage\n"
     ]
    }
   ],
   "source": [
    "discontigOnly, enclaveOnly, bothProblems, cleanList = list(), list(), list(), list()  #optional contiguity check\n",
    "for t in popHDlist:\n",
    "    if t%300 == 0:\n",
    "        print(\"working on HD\",t)\n",
    "    unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(HDunitList[t], unitNbrs)\n",
    "    if unbroken and noEnclave:\n",
    "        cleanList.append(t)\n",
    "    if unbroken and not noEnclave:\n",
    "        enclaveOnly.append(t)\n",
    "    if not unbroken and noEnclave:\n",
    "        discontigOnly.append(t)\n",
    "    if not unbroken and not noEnclave:\n",
    "        bothProblems.append(t)\n",
    "print(\"out of\",len(popHDlist),\"total HDs, there were\",len(cleanList),len(discontigOnly),len(enclaveOnly),\n",
    "      len(bothProblems),\"HDs that were clean, discontig only, enclave-only, both problems after triage\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "27b42f93-dc87-4afe-8eb3-f30fdff4a737",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "checking unitUse for county clusters\n",
      "6793 0.9733880685005182 82874.0\n",
      "6794 0.9960002441574092 90352.0\n"
     ]
    }
   ],
   "source": [
    "print(\"checking unitUse for county clusters\")\n",
    "for uNo in allUnits:\n",
    "    if uNo - int(uNo) > 0.23 and uNo - int(uNo) < 0.27:\n",
    "        u = allUnits.index(uNo)\n",
    "        print(u,unitUse[u], unitPop[u])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 248,
   "id": "72941b8f-7be6-4a31-9377-618f44a34336",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "unpatchedUnitUse = unitUse.copy()              #... for safekeeping\n",
    "unpatchedHDlist =  [HDunitList[t].copy() for t in range(nHDs) ]\n",
    "unpatchedHDpop =   HDvPop.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "5f9ca091-1eb6-4135-a233-7f5ae0f5e3d1",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "unitUse = unpatchedUnitUse.copy()              #... for restarting\n",
    "HDunitList =  [unpatchedHDlist[t].copy() for t in range(nHDs) ]\n",
    "HDvPop =   unpatchedHDpop.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 261,
   "id": "e9dd457d-fb37-49cf-9b19-19c17c328ede",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Here, we exchange in under-used, THEN shed over-used\n",
      "Currently, we will stop patching when the overall sd of usage is less than 0.05\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter updated maxSD value 0.05\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "we will stop patching on individual underused units when their usage exceeds 0.95\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter updated stopMinUse value 0.95\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "there are currently 1175 units out of 5212 with usage below 0.95\n",
      "maxExchangePop is currently 0.05 fraction of avgDistrictPop\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "Enter updated maxExchangePop fraction 0.02\n",
      "enter 1 to print out stats for every patched HD, otherwise enter reporting frequency 5\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Let's further tighten the distro with exchanges up to 15078\n",
      "we will try to increase usage for 36 units\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter updated maxNtries 18\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "current avg and SD of unit usage are 1.00013 0.06384 . Now trying to increase up to 18 units' underusage\n",
      "all done trying to reduce usage of unit 2586 final usage = 0.86577 85 sec elapsed 34 0 successful, failed patches, couldn't start= 27\n",
      "current avg and SD of usage are 1.00013 0.06364\n",
      "all done trying to reduce usage of unit 2506 final usage = 0.90732 190 sec elapsed 47 0 successful, failed patches, couldn't start= 63\n",
      "current avg and SD of usage are 1.00013 0.06341\n",
      "all done trying to reduce usage of unit 2529 final usage = 0.9054 361 sec elapsed 37 0 successful, failed patches, couldn't start= 56\n",
      "current avg and SD of usage are 1.00013 0.06328\n",
      "all done trying to reduce usage of unit 733 final usage = 0.85925 417 sec elapsed 10 0 successful, failed patches, couldn't start= 30\n",
      "current avg and SD of usage are 1.00013 0.06323\n",
      "starting to increase usage for unit 2314 with usage 0.84587 . Total UU units tried = 5\n",
      "all done trying to reduce usage of unit 2314 final usage = 0.95153 556 sec elapsed 62 0 successful, failed patches, couldn't start= 2\n",
      "current avg and SD of usage are 1.00013 0.06303\n",
      "all done trying to reduce usage of unit 1625 final usage = 0.95082 669 sec elapsed 56 0 successful, failed patches, couldn't start= 12\n",
      "current avg and SD of usage are 1.00014 0.06257\n",
      "all done trying to reduce usage of unit 751 final usage = 0.86785 735 sec elapsed 16 0 successful, failed patches, couldn't start= 25\n",
      "current avg and SD of usage are 1.00014 0.06246\n",
      "all done trying to reduce usage of unit 2592 final usage = 0.89226 846 sec elapsed 38 0 successful, failed patches, couldn't start= 39\n",
      "current avg and SD of usage are 1.00014 0.06224\n",
      "all done trying to reduce usage of unit 2528 final usage = 0.90711 1005 sec elapsed 36 0 successful, failed patches, couldn't start= 59\n",
      "current avg and SD of usage are 1.00014 0.06211\n",
      "starting to increase usage for unit 2082 with usage 0.85008 . Total UU units tried = 10\n",
      "all done trying to reduce usage of unit 2082 final usage = 0.9503 1162 sec elapsed 66 0 successful, failed patches, couldn't start= 7\n",
      "current avg and SD of usage are 1.00014 0.06172\n",
      "all done trying to reduce usage of unit 2902 final usage = 0.95017 1282 sec elapsed 60 0 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00015 0.06143\n",
      "all done trying to reduce usage of unit 2489 final usage = 0.94446 1430 sec elapsed 56 0 successful, failed patches, couldn't start= 61\n",
      "current avg and SD of usage are 1.00015 0.06126\n",
      "all done trying to reduce usage of unit 1492 final usage = 0.91254 1550 sec elapsed 27 0 successful, failed patches, couldn't start= 110\n",
      "current avg and SD of usage are 1.00015 0.06112\n",
      "all done trying to reduce usage of unit 2606 final usage = 0.95202 1711 sec elapsed 59 1 successful, failed patches, couldn't start= 9\n",
      "current avg and SD of usage are 1.00015 0.06086\n",
      "starting to increase usage for unit 1494 with usage 0.85541 . Total UU units tried = 15\n",
      "all done trying to reduce usage of unit 1494 final usage = 0.91381 1838 sec elapsed 27 0 successful, failed patches, couldn't start= 110\n",
      "current avg and SD of usage are 1.00014 0.06074\n",
      "all done trying to reduce usage of unit 1616 final usage = 0.95058 2027 sec elapsed 55 0 successful, failed patches, couldn't start= 2\n",
      "current avg and SD of usage are 1.00015 0.0604\n",
      "all done trying to reduce usage of unit 2627 final usage = 0.95041 2244 sec elapsed 58 1 successful, failed patches, couldn't start= 8\n",
      "current avg and SD of usage are 1.00015 0.06015\n",
      "all done trying to reduce usage of unit 2581 final usage = 0.95118 2407 sec elapsed 53 0 successful, failed patches, couldn't start= 2\n",
      "current avg and SD of usage are 1.00015 0.05996\n"
     ]
    }
   ],
   "source": [
    "#FIRST PATCHING BLOCK - boosting underuse.  Works fine.  For some states, may want to do overpopped first; DANGER OF LONG STRINGS\n",
    "# for IN, ran twice, once without maxNtries override, and maxSD = 0.07\n",
    "print(\"Here, we exchange in under-used, THEN shed over-used\")\n",
    "maxSD = 0.05  #0.07  #0.05   #adjust down if distro already tight\n",
    "print(\"Currently, we will stop patching when the overall sd of usage is less than\",maxSD)\n",
    "maxSD = float(input(\"enter updated maxSD value\"))\n",
    "stopMinUse = 1. - maxSD\n",
    "print(\"we will stop patching on individual underused units when their usage exceeds\",r5(stopMinUse))\n",
    "stopMinUse = float(input(\"enter updated stopMinUse value\"))\n",
    "nInPlay = 0\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] < stopMinUse:\n",
    "        nInPlay +=1\n",
    "print(\"there are currently\",nInPlay,\"units out of\",nUnits,\"with usage below\",stopMinUse)\n",
    "nSmallUsers = 5\n",
    "maxExchangePop = 0.05*aDP \n",
    "print(\"maxExchangePop is currently\",r5(maxExchangePop/aDP),\"fraction of avgDistrictPop\")\n",
    "newMEPratio = float(input(\"Enter updated maxExchangePop fraction\"))\n",
    "maxExchangePop = newMEPratio*aDP\n",
    "debug1 = int(input(\"enter 1 to print out stats for every patched HD, otherwise enter reporting frequency\"))\n",
    "print(\"Let's further tighten the distro with exchanges up to\",int(maxExchangePop)) #1/25/24\n",
    "maxGap = 0.9 * np.median(unitPop) \n",
    "currAvg, currSD = getWeightedAvgAndSD(unitUse,unitPop)\n",
    "maxNtries = int(currSD * nUnits / nDistricts)   #try up to about 10% of the avg no of units per district\n",
    "print(\"we will try to increase usage for\",maxNtries,\"units\")\n",
    "maxNtries = int(input(\"enter updated maxNtries\"))\n",
    "attemptedSmallUs = list()\n",
    "print(\"current avg and SD of unit usage are\",r5(currAvg), r5(currSD),\". Now trying to increase up to\",maxNtries,\"units' underusage\" )\n",
    "startTime = time.time()\n",
    "while currSD > maxSD and len(attemptedSmallUs) < maxNtries: \n",
    "    #each round, find the (5) most underused not-yet-tried units. Pick the unit w/ most overuse of it + 1-nbrs\n",
    "    idx = np.argsort(unitUse)\n",
    "    idxNo, nSmallFound, smallUsers = 0,0,list()\n",
    "    while nSmallFound < nSmallUsers:\n",
    "        consideredSmallU = idx[idxNo]\n",
    "        if consideredSmallU not in attemptedSmallUs:\n",
    "            smallUsers.append(consideredSmallU)\n",
    "            nSmallFound +=1\n",
    "        idxNo +=1\n",
    "    UUUclusters = [ [b] + unitNbrs[b] for b in smallUsers ]\n",
    "    smallUnderUse = [np.sum([(unitUse[j] - 1.) for j in UUUclusters[i] ]) for i in range(nSmallUsers) ]\n",
    "    smallI = smallUnderUse.index(np.max(smallUnderUse))\n",
    "    UUU = smallUsers[ smallI ]  #pick the unit that centers cluster with least composite use\n",
    "    attemptedSmallUs.append(UUU)  #so we don't try this unit again in a future loop\n",
    "    UUUc = UUUclusters[smallI]  #the list of this unit and ALL its neighbors (to be curated below ...)\n",
    "    if len(attemptedSmallUs) % debug1 == 0:\n",
    "        print(\"starting to increase usage for unit\",UUU,\"with usage\",r5(unitUse[UUU]),\". Total UU units tried =\",len(attemptedSmallUs) )\n",
    "    for u in UUUc.copy():\n",
    "        if unitUse[u] > 1.:\n",
    "            UUUc.remove(u)  #...drop any overused neighbors of the primary UUU from the target sheddable cluster\n",
    "    uuuHDs, uuuDists = list(), list()\n",
    "    for t in popHDlist:  #finding all HDs with at least one cluster member on the boundary\n",
    "        if UUU not in HDunitList[t]:\n",
    "            HDadjoinSet = set( getAdjoiners(HDunitList[t],unitNbrs) )\n",
    "            if len(HDadjoinSet.intersection(UUUc) ) > 0: #the UUU or one of its underused 1-neighbors adjoins this HD\n",
    "                uuuHDs.append(t)  #Note: we'll check later if we can contiguously pick up the UUU's cluster\n",
    "                uuuDists.append( unitCP[UUU].distance(hdCP[t]) / avgDist[t] )\n",
    "    idx0 = np.argsort(uuuDists)\n",
    "    nPatchSuccess, nPatchFail, nCouldntStart, idxNo = 0,0,0,-1\n",
    "    while unitUse[UUU] < stopMinUse and idxNo < 0.8*len(uuuHDs): #arbitrarily only examine 80% closest of HDs\n",
    "        excess, giveUpOnShedding = 99*aDP, True  #default = failed swap\n",
    "        idxNo += 1\n",
    "        if idxNo % 20 == 0 and debug1 == 1:\n",
    "            print(\"try to add unit\",UUU,\"from\",abs(idxNo),\"th HD.  Usage up to\",unitUse[UUU] )\n",
    "        t = uuuHDs[idx0[idxNo]]\n",
    "        trySet = set(HDunitList[t]).union(set(UUUc))\n",
    "        contig,complementContig, __, ___ = enclaveCheck(list(trySet), unitNbrs)\n",
    "        loopUUUc = UUUc.copy()  #default; we will add whole cluster\n",
    "        if not (contig and complementContig): #we can't add whole cluster; neighbors may be enclavy.   Try just adding the UUU\n",
    "            trySet = set(HDunitList[t]).union({UUU})\n",
    "            contig,complementContig, __, ___ = enclaveCheck(list(trySet), unitNbrs)\n",
    "            loopUUUc = [UUU]\n",
    "        if contig and complementContig:  #we can at least add the cluster, let's go for more\n",
    "            HDuuuSet = set(loopUUUc).difference(set(HDunitList[t]))  #the subset of the UUU cluster that adjoins (NOT in) this HD\n",
    "            HDuuuCpop = np.sum([unitPop[u] for u in HDuuuSet])\n",
    "            giveUpOnAdding = False            \n",
    "            addCandidates, addUseDists = list(), list()\n",
    "            uuCandidates = getAdjoiners(trySet, unitNbrs)  #any adjoiner can be picked up, even if far from UUUc\n",
    "            for u in uuCandidates:\n",
    "                if HDuuuCpop + unitPop[u] <= maxExchangePop:\n",
    "                    addCandidates.append(u)  #Below's relative scoring of use and distance is a bit arbitrary\n",
    "                    addUseDists.append((unitUse[uu]-1.) + 0.1*unitCP[uu].distance(hdCP[t]) / avgDist[t])  #bias toward close, underused\n",
    "            if len(addCandidates) == 0:\n",
    "                giveUpOnAdding = True\n",
    "            while HDuuuCpop < maxExchangePop and not giveUpOnAdding:\n",
    "                addNneighbors = [len( set(unitNbrs[addC]).intersection(trySet) ) for addC in addCandidates ]\n",
    "                addScores = addUseDists.copy()\n",
    "                for jjj, u in enumerate(addCandidates):\n",
    "                    if addNneighbors[jjj] == 1:\n",
    "                        addScores[jjj] += 0.4321    #discourage growing fingers\n",
    "                #print(\"HDuuuCpop is now\",HDuuuCpop)\n",
    "                idx, ij, notYetPicked = np.argsort(addScores), 0, True\n",
    "                while ij < 0.5*len(addScores) and notYetPicked:\n",
    "                    listNo = idx[ij]   #work from low to high score\n",
    "                    addU = addCandidates[listNo]\n",
    "                    contig,cContig, __, ___ = enclaveCheck(list(trySet.union({addU}) ), unitNbrs)\n",
    "                    if contig and cContig:\n",
    "                        notYetPicked = False\n",
    "                        HDuuuCpop += unitPop[addU]\n",
    "                        HDuuuSet.add(addU)\n",
    "                        trySet.add(addU)\n",
    "                        del addUseDists[addCandidates.index(addU)]\n",
    "                        del addCandidates[addCandidates.index(addU)]                        \n",
    "                        for uu in list(set(unitNbrs[addU]).difference(trySet) ): \n",
    "                            if uu not in addCandidates and unitPop[uu] + HDuuuCpop < maxExchangePop and unitUse[uu] < 1.01:\n",
    "                                addCandidates.append(uu)\n",
    "                                addUseDists.append( (unitUse[uu]-1.) + 0.1*unitCP[uu].distance(hdCP[t]) / avgDist[t] )\n",
    "                    else:\n",
    "                        ij +=1\n",
    "                if notYetPicked:\n",
    "                    giveUpOnAdding = True  #all candidates would create a discontig, so can't shed any more units\n",
    "            addSet = HDuuuSet.copy()  #we're done building the list of underused units to add to this HD\n",
    "            trySet = set(HDunitList[t]).union(addSet) \n",
    "            excess = np.sum([unitPop[u] for u in trySet]) - aDP\n",
    "            shedCandidates, shedScores, giveUpOnShedding = list(), list(), False\n",
    "            bdryCandidates = getBdryNonEdgers(trySet, unitNbrs)  #new - any boundary unit can be shed, even if far from OUUc\n",
    "            for u in bdryCandidates:\n",
    "                if unitPop[u] <= excess + maxGap:\n",
    "                    shedCandidates.append(u)\n",
    "                    shedScores.append((unitUse[u] - 1.) * unitCP[u].distance(hdCP[t])/avgDist[t])  #bias toward OVERUSED, far\n",
    "            if len(shedCandidates) == 0:\n",
    "                giveUpOnShedding = True\n",
    "            shedSet = set()\n",
    "            while excess > maxGap and not giveUpOnShedding:\n",
    "                #print(\"excess pop is now\",excess,\"for HD\",t)\n",
    "                idx, ij, notYetPicked = np.argsort(shedScores), 0, True\n",
    "                while ij < len(shedScores) and notYetPicked:\n",
    "                    listNo = idx[-1-ij]   #work from high to low score\n",
    "                    shedU = shedCandidates[listNo]\n",
    "                    if shedScores[listNo] <= 0:  #we're delving into the underused; stop adding to shed list\n",
    "                        break\n",
    "                    if excess - unitPop[shedU] >= -1*maxGap:\n",
    "                        contig,cContig, __, ___ = enclaveCheck(list(trySet.difference({shedU}) ), unitNbrs)\n",
    "                        if contig and cContig:\n",
    "                            notYetPicked = False\n",
    "                            excess -= unitPop[shedU]\n",
    "                            trySet.remove(shedU)\n",
    "                            shedSet.add(shedU)\n",
    "                            del shedScores[shedCandidates.index(shedU)]\n",
    "                            del shedCandidates[shedCandidates.index(shedU)]\n",
    "                            newSheddables = set(unitNbrs[shedU]).intersection(trySet)\n",
    "                            for u in newSheddables:\n",
    "                                if excess - unitPop[u] >= -1*maxGap and u not in shedCandidates:\n",
    "                                    shedCandidates.append(u)  #we'll check enclavity if ever picked\n",
    "                                    shedScores.append((unitUse[u] - 1.) * unitCP[u].distance(hdCP[t])/avgDist[t])\n",
    "                            for kkk, u in enumerate(shedCandidates): #checking if this shed eliminates high-pop future sheds ...\n",
    "                                if excess - unitPop[u] < -1*maxGap:\n",
    "                                    del shedScores[kkk]\n",
    "                                    del shedCandidates[kkk]\n",
    "                    ij +=1\n",
    "                if notYetPicked:\n",
    "                    giveUpOnShedding = True  #all shedcandidates would create a discontig, so can't shed enough units to square pop\n",
    "            legitSwap = False\n",
    "            if abs(excess) <= 2.*maxGap:  #giving ourselves a bit more margin after exchanges\n",
    "                contig,cContig, __, ___ = enclaveCheck(list(trySet), unitNbrs) \n",
    "                if contig and cContig:\n",
    "                    legitSwap = True\n",
    "            if legitSwap:\n",
    "                for u in shedSet:\n",
    "                    unitUse[u] -= HDweight[t] * nDistricts\n",
    "                for u in addSet:\n",
    "                    unitUse[u] += HDweight[t] * nDistricts\n",
    "                HDunitList[t] = list(trySet)\n",
    "                HDvPop[t] = np.sum([ unitPop[u] for u in HDunitList[t] ])\n",
    "                nPatchSuccess +=1\n",
    "                #print(\"we added\",addSet,\"and shed units\",shedSet,\"from HD\",t)\n",
    "            else:\n",
    "                nPatchFail +=1\n",
    "        else:  #adding neither the UUU cluster or just the UUU worked; couldn't even start\n",
    "            nCouldntStart +=1\n",
    "            # end of shed + add patching on this HD\n",
    "            #print(\"shed and patched for HD, OUU\",t,OUU)\n",
    "\n",
    "    print(\"all done trying to reduce usage of unit\",UUU,\"final usage =\",r5(unitUse[UUU]),int(time.time()-startTime),\"sec elapsed\",\n",
    "         nPatchSuccess,nPatchFail,\"successful, failed patches, couldn't start=\",nCouldntStart)\n",
    "    currAvg, currSD = getWeightedAvgAndSD(unitUse,unitPop)\n",
    "    print(\"current avg and SD of usage are\",r5(currAvg), r5(currSD) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 250,
   "id": "861f29d3-b727-49af-90a8-aa9a963e0741",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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oXbt2MgzDYd/Px3BIqhEQLBaLLl682OC5LRaLJOmZZ57RypUrtWrVKvXu3VtBQUFKTU1VRUVFve+32WwNfkZ9tV28eFE+Pj7KzMys8TT39u3bS1KNvnsSAQUAgDp06NBBubm59tfFxcXKzs52+jz79u1Tp06dJEkFBQU6evSoevToIUn65JNPdPPNN+t3v/udpOrgcOzYMV199dX291utVlVVVTmcs0+fPtqwYYMqKyvrvYpSl2uuuUZVVVXKz8/XsGHDam3Ts2dP7du3r0ZfPIFZPAAA1OGGG27Qxo0b9cknn+jQoUOaNm1ak9aO+9Of/qR//OMfOnTokKZPn66oqCjdcsstkqSkpCTt3LlTe/fu1ddff6177rlHeXl5Du+/4oor9Nlnn+nEiRM6ffq0Ll68qDlz5qi4uFi/+c1vtH//fh07dkwbN27UkSNHGlVTt27d9Nvf/lZ33nmntm3bpuzsbH3xxRd68skn9e6770qS7rvvPu3YsUMrVqzQ0aNH9fzzz3vk9o7EFRQAgLd5Yup9Ez9j4cKF+vbbbzV+/HiFhobqsccea9IVlCeeeEL333+/jh07pr59++qtt96S1WqVJD3yyCPKzs7W2LFjFRgYqD/84Q+65ZZbVFRUZH//ggULNG3aNPXs2VNlZWXKzs7WFVdcoQ8//FAPPPCAUlJS5OPjo379+unaa69tdF3r1q3T0qVLNX/+fJ06dUqRkZEaMmSIfvWrX0mSBg8erJdfflmPPvqo0tLSNGrUKD388MN67LHHnP4aOMtiePMGUxMVFxcrNDRURUVFCgkJ8XY5wP/5IUt6KUX6Q0bzBsm66jyACZw/f17Z2dnq0qWLAgIC/u9AG3iS7O7duzVixAgVFBQoLCzMY5/rTXX+fcu5n99cQQEAeEdYYnVgYC0e1IKAAgDwnrBEQgNqRUABAMBNhg8f7tWpui0Zs3gAAIDpcAUFaMkKcxq+f899dwAtEAEFaKmcWZjQwzMXgNpwq6NtcNXfMwEFaKkaszDh6aPStpnVbQko8JJLTzk9d+5cox7Pjpbt0iP6m/JAu58joKBtaM23QliYECbn4+OjsLAw+wJ6gYGB9nVo0LpcvHhRP/30kwIDA+Xr27yIQUBB68etEMDrYmNjJanGKr9ofdq1a6dOnTo1O4QSUND6cSsE8DqLxaK4uDhFR0fXWA0YrYvValW7ds2fJExAQdvBrRDA63x8fJo9NgFtA89BAQAApsMVFMAZDQ229cSqrADQBhBQgMZyZrBtYKRnagKAVoqAAjRWYwbbSi13ujIAmAgBBXAWg20BwO0YJAsAAEyHgAIAAEyHgAIAAEyHMShAG3WqsEwFpRU19ocHWZUQxoJuALyLgAL8XH3PMWlFzzg5VVimUc9kqKyyqsYxm5+Pds1PIaQA8CoCCiBVTw32C6xej6c+reQZJwWlFSqrrNKqKf2UFN3evv94folSt2apoLSCgALAqwgogFT93JLZn9f/lFjJ8884cfMVnaTo9kpOCG32eQDA1QgowCVhieZ5wFobu6IDAJcjoABmZNYrOgDgIU5NM16zZo369OmjkJAQhYSEaMiQIXrvvffsxw3DUFpamuLj42Wz2TR8+HAdPnzY4Rzl5eWaO3euoqKiFBQUpIkTJ+rkyZOu6Q3QmoQlVj+xtr6tkeHk+E8lOnSqyL4dzy9xU9EA4BpOXUHp2LGjnnjiCSUlJUmSNmzYoJtvvlkHDhxQr169tGLFCj377LNav369unXrpqVLl2r06NE6cuSIgoODJUmpqal6++23tWXLFkVGRmr+/PkaP368MjMz5ePj4/oeAm1Yfkm5oiXdvyVLh40ih2M2Px+FB1m9UxgANMCpgDJhwgSH148//rjWrFmjffv2qWfPnlq1apUWL16sSZMmSaoOMDExMdq8ebPuueceFRUVae3atdq4caNGjRolSdq0aZMSExO1a9cujR071kXdAiBJxWWVipa0YEx3deg20OEYzzsBYGZNfpJsVVWVtmzZotLSUg0ZMkTZ2dnKy8vTmDFj7G38/f2VkpKivXv3SpIyMzNVWVnp0CY+Pl7Jycn2NrUpLy9XcXGxwwag8RIjbEpOCHXYCCcAzMzpgHLw4EG1b99e/v7+mjVrlrZv366ePXsqLy9PkhQTE+PQPiYmxn4sLy9PVqtV4eHhdbapzfLlyxUaGmrfEhMZFAgAQGvmdEDp3r27srKytG/fPv3Hf/yHpk2bpq+++sp+3GKxOLQ3DKPGvss11GbhwoUqKiqybzk5Oc6WDQAAWhCnA4rValVSUpIGDBig5cuXq2/fvlq9erViY2MlqcaVkPz8fPtVldjYWFVUVKigoKDONrXx9/e3zxy6tAEAgNar2asZG4ah8vJydenSRbGxsdq5c6f9WEVFhTIyMjR06FBJUv/+/eXn5+fQJjc3V4cOHbK3AQAAcGoWz6JFizRu3DglJibq7Nmz2rJli3bv3q0dO3bIYrEoNTVVy5YtU9euXdW1a1ctW7ZMgYGBmjp1qiQpNDRUM2bM0Pz58xUZGamIiAgtWLBAvXv3ts/qAQAAcCqg/Pjjj7rjjjuUm5ur0NBQ9enTRzt27NDo0aMlSQ8++KDKysp07733qqCgQIMGDdIHH3xgfwaKJK1cuVK+vr6aPHmyysrKNHLkSK1fv55noAAAADunAsratWvrPW6xWJSWlqa0tLQ62wQEBCg9PV3p6enOfDQAAGhDmj0GBQAAwNUIKAAAwHQIKAAAwHQIKAAAwHQIKAAAwHQIKAAAwHQIKAAAwHQIKAAAwHQIKAAAwHQIKAAAwHScetQ9gJbJv/C49EP7uhsERkphiZ4rCAAaQEABWrGqgAidM/yV+NH90kf1NPQLlGZ/LinEU6UBQL0IKEArVtk+QaPKn9Irt1+lpA51XEE5fVTaNlM6d0YEFABmQUABWrkfFKXzUb2l+FBvlwIAjcYgWQAAYDoEFAAAYDoEFAAAYDoEFAAAYDoEFAAAYDoEFAAAYDoEFAAAYDoEFAAAYDoEFAAAYDoEFAAAYDoEFAAAYDqsxQO0EqcKy1RQWuGw73h+iZeqAYDmIaAArcCpwjKNeiZDZZVVNY7Z/HwUHmT1QlUA0HQEFKAVKCitUFlllVZN6aek6PYOx8KDrEoIs3mpMgBoGgIK0IokRbdXckKot8sAgGZjkCwAADAdAgoAADAdAgoAADAdAgoAADAdAgoAADAdAgoAADAdAgoAADAdAgoAADAdAgoAADAdpwLK8uXL9ctf/lLBwcGKjo7WLbfcoiNHjji0mT59uiwWi8M2ePBghzbl5eWaO3euoqKiFBQUpIkTJ+rkyZPN7w0AAGgVnAooGRkZmj17tvbt26edO3fqwoULGjNmjEpLSx3a3XjjjcrNzbVv7777rsPx1NRUbd++XVu2bNGePXtUUlKi8ePHq6qq5kJnADzk9FEFnD6oXpZsBZw+KP2Q5bgV5ni3PgBtilNr8ezYscPh9bp16xQdHa3MzExdf/319v3+/v6KjY2t9RxFRUVau3atNm7cqFGjRkmSNm3apMTERO3atUtjx451tg8AmiMwUvILlLbNVJKkd/wlba+lnV+gNPtzKSzRwwUCaIuatVhgUVGRJCkiIsJh/+7duxUdHa2wsDClpKTo8ccfV3R0tCQpMzNTlZWVGjNmjL19fHy8kpOTtXfv3loDSnl5ucrLy+2vi4uLm1M24DanCstUUFpRY7+pVxQOS6wOHufO6PhPJbp/S5ZW/6afkjr8bFXk00elbTOlc2cIKAA8oskBxTAMzZs3T9ddd52Sk5Pt+8eNG6df//rX6ty5s7Kzs/XII4/ohhtuUGZmpvz9/ZWXlyer1arw8HCH88XExCgvL6/Wz1q+fLmWLFnS1FIBjzhVWKZRz2SorLLmrUqbn4/+647+igyyOuw3TXAJS5TCEnXeKNJho0jno3pL8ayKDMB7mhxQ5syZoy+//FJ79uxx2D9lyhT7n5OTkzVgwAB17txZ77zzjiZNmlTn+QzDkMViqfXYwoULNW/ePPvr4uJiJSbyWxzMpaC0QmWVVVo1pZ+Sov/v6sOZ0grN2pipaX/9vMZ7bH4+2jU/xRwhBQBMpEkBZe7cuXrrrbf08ccfq2PHjvW2jYuLU+fOnXXs2DFJUmxsrCoqKlRQUOBwFSU/P19Dhw6t9Rz+/v7y9/dvSqmAxyVFt1dyguPVh13zU2rc+jmeX6LUrVkqKK0goADAZZyaxWMYhubMmaNt27bpww8/VJcuXRp8z5kzZ5STk6O4uDhJUv/+/eXn56edO3fa2+Tm5urQoUN1BhSgpUsIsyk5IdRh+/lVFgCAI6euoMyePVubN2/W3//+dwUHB9vHjISGhspms6mkpERpaWm67bbbFBcXpxMnTmjRokWKiorSrbfeam87Y8YMzZ8/X5GRkYqIiNCCBQvUu3dv+6weAADQtjkVUNasWSNJGj58uMP+devWafr06fLx8dHBgwf1yiuvqLCwUHFxcRoxYoS2bt2q4OBge/uVK1fK19dXkydPVllZmUaOHKn169fLx8en+T0CWoG6ZgNJJhpYCwBu5FRAMQyj3uM2m03vv/9+g+cJCAhQenq60tPTnfl4oE2obzaQxMBaAG1Ds56DAsD16poNJDGwFkDbQUABTKq22UAA0FawmjEAADAdrqAAXnY8v6Te1wDQFhFQgHrUN5vmcs4Gi/Agq2x+PkrdmlXjmM3PR+GXPRYfANoSAgpQh4Zm09TGmWCREGar9QmzElOJAYCAAtShvtk0dXE2WCSE2QgiAFALAgrQgLY4m+by21UBp0uU5KVaALRNBBSgBXLXwNq6xsX0smTrHX8pv6Rc0S75JACoHwEFbV5dA2HNOJvG3QNr6xoX89NRq5QhFZdVElAAeAQBBW1aYx4rb6bZNJ4YWFvbuJjjpxknA8CzCCho0xoaCGvG2TQMrAXQFhBQALXNgbAAYGY86h4AAJgOAQUAAJgOAQUAAJgOAQUAAJgOAQUAAJgOs3jQ8hXmSOfO1H389FHP1QIAcAkCClq2whzphYFS5bn62/kFSoGRnqkJANBsBBS0bOfOVIeTSX+RorrV3S4wUgpL9FxdAIBmIaCgdYjqJsX383YVAAAXYZAsAAAwHQIKAAAwHQIKAAAwHcagAGg0/8Lj0g81V322YzAyABchoABoUFVAhM4Z/kr86H7po3oa+gVKsz8npABoNgIKgAZVtk/QqPKn9MrtVympQx1XUE4flbbNrJ76TUAB0EwEFACN8oOidD6qtxQf6u1SALQBDJIFAACmQ0ABAACmQ0ABAACmQ0ABAACmQ0ABAACmQ0ABAACmQ0ABAACmQ0ABAACmQ0ABAACm41RAWb58uX75y18qODhY0dHRuuWWW3TkyBGHNoZhKC0tTfHx8bLZbBo+fLgOHz7s0Ka8vFxz585VVFSUgoKCNHHiRJ08ebL5vQEAAK2CUwElIyNDs2fP1r59+7Rz505duHBBY8aMUWlpqb3NihUr9Oyzz+r555/XF198odjYWI0ePVpnz561t0lNTdX27du1ZcsW7dmzRyUlJRo/fryqqqpc1zMAANBiObUWz44dOxxer1u3TtHR0crMzNT1118vwzC0atUqLV68WJMmTZIkbdiwQTExMdq8ebPuueceFRUVae3atdq4caNGjRolSdq0aZMSExO1a9cujR071kVdAwAALVWzxqAUFRVJkiIiIiRJ2dnZysvL05gxY+xt/P39lZKSor1790qSMjMzVVlZ6dAmPj5eycnJ9jYAzOl4fokOnSpy2E4Vlnm7LACtUJNXMzYMQ/PmzdN1112n5ORkSVJeXp4kKSYmxqFtTEyMvvvuO3sbq9Wq8PDwGm0uvf9y5eXlKi8vt78uLi5uatkAmiA8yCqbn49St2bVOGbz89Gu+SlK8HxZAFqxJgeUOXPm6Msvv9SePXtqHLNYLA6vDcOose9y9bVZvny5lixZ0tRSATRTQphNu+anqKC0wmH/8fwSpW7NUkFphRLq/ycOAE5p0i2euXPn6q233tJHH32kjh072vfHxsZKUo0rIfn5+farKrGxsaqoqFBBQUGdbS63cOFCFRUV2becnJymlA2gGRLCbEpOCHXYkqLbe7ssAK2UUwHFMAzNmTNH27Zt04cffqguXbo4HO/SpYtiY2O1c+dO+76KigplZGRo6NChkqT+/fvLz8/PoU1ubq4OHTpkb3M5f39/hYSEOGwAAKD1cuoWz+zZs7V582b9/e9/V3BwsP1KSWhoqGw2mywWi1JTU7Vs2TJ17dpVXbt21bJlyxQYGKipU6fa286YMUPz589XZGSkIiIitGDBAvXu3ds+qwdwh1OFZbXeogAAmI9TAWXNmjWSpOHDhzvsX7dunaZPny5JevDBB1VWVqZ7771XBQUFGjRokD744AMFBwfb269cuVK+vr6aPHmyysrKNHLkSK1fv14+Pj7N6w1Qh1OFZRr1TIbKKms+a8fm56PwIKsXqgIA1MWpgGIYRoNtLBaL0tLSlJaWVmebgIAApaenKz093ZmPB5qsoLRCZZVVWjWlX41xE+FBViWE2bxUGQCgNk2exQO0REnR7ZWcEOrtMgAADWCxQAAAYDpcQYG5FeZI587Uffz0Uc/VAgDwGAIKzKswR3phoFR5rv52foFSYKRnakLDGgqNgZFSWKJnagHQYhFQYF7nzlSHk0l/kaK61d2OH3jmEBhZHRa3zay/nV+gNPtz/s4A1IuAAvOL6ibF9/N2FWhIWGJ18Gjolty2mdVtCCgA6kFAAeA6YYkEDwAuwSweAABgOgQUAABgOgQUAABgOgQUAABgOgQUAABgOgQUAABgOgQUAABgOgQUAABgOgQUAABgOgQUAABgOjzqHqaXX1Ku/FNFNfaHB1mVEGbzQkUAAHcjoMD0/mNjpjIrT9fYb/Pz0a75KYQUAGiFCCgwvfMXLmrVlH5Kim5v33c8v0SpW7NUUFpBQGmJTh+t/3hgJIsOAm0cAQUtQlJ0eyUnhHq7DDRXYKTkFyhtm1l/O79AafbnhBSgDSOgAPCcsMTq4HHuTN1tTh+tDjDnzhBQgDaMgALvKcxp+AcVWp+wRIIHgAYRUOAdhTnSCwOlynP1Nrvoa1PB+WAPFYWmOp5fUut+ZloBaCoCCrzj3JnqcDLpL1JUtzqbHTtr1Q/rsj1YGJwRHmSVzc9HqVuzaj3OTCsATUVAgXdFdZPi+9V5uPJUkSQCilklhNm0a36KCkorahxjphWA5iCgAGiWhDAbAQSAy/GoewAAYDoEFAAAYDoEFAAAYDoEFAAAYDoEFAAAYDoEFAAAYDoEFAAAYDoEFAAAYDoEFAAAYDoEFAAAYDoEFAAAYDoEFAAAYDpOB5SPP/5YEyZMUHx8vCwWi958802H49OnT5fFYnHYBg8e7NCmvLxcc+fOVVRUlIKCgjRx4kSdPHmyWR0BAACth9MBpbS0VH379tXzzz9fZ5sbb7xRubm59u3dd991OJ6amqrt27dry5Yt2rNnj0pKSjR+/HhVVVU53wMAANDq+Dr7hnHjxmncuHH1tvH391dsbGytx4qKirR27Vpt3LhRo0aNkiRt2rRJiYmJ2rVrl8aOHetsSQAAoJVxyxiU3bt3Kzo6Wt26ddPMmTOVn59vP5aZmanKykqNGTPGvi8+Pl7Jycnau3dvrecrLy9XcXGxwwYAAFovlweUcePG6dVXX9WHH36oZ555Rl988YVuuOEGlZeXS5Ly8vJktVoVHh7u8L6YmBjl5eXVes7ly5crNDTUviUmJrq6bAAAYCJO3+JpyJQpU+x/Tk5O1oABA9S5c2e98847mjRpUp3vMwxDFoul1mMLFy7UvHnz7K+Li4sJKQAAtGJun2YcFxenzp0769ixY5Kk2NhYVVRUqKCgwKFdfn6+YmJiaj2Hv7+/QkJCHDYAANB6uT2gnDlzRjk5OYqLi5Mk9e/fX35+ftq5c6e9TW5urg4dOqShQ4e6uxy0AacKy3ToVJHDdjy/xNtlAQCc4PQtnpKSEh0/ftz+Ojs7W1lZWYqIiFBERITS0tJ02223KS4uTidOnNCiRYsUFRWlW2+9VZIUGhqqGTNmaP78+YqMjFRERIQWLFig3r1722f1AE11qrBMo57JUFllzSnrNj8fhQdZvVAVAMBZTgeU/fv3a8SIEfbXl8aGTJs2TWvWrNHBgwf1yiuvqLCwUHFxcRoxYoS2bt2q4OBg+3tWrlwpX19fTZ48WWVlZRo5cqTWr18vHx8fF3QJbVlBaYXKKqu0ako/JUW3dzgWHmRVQpjNS5UBAJzhdEAZPny4DMOo8/j777/f4DkCAgKUnp6u9PR0Zz8eaJSk6PZKTgj1dhkAgCZiLR4AAGA6BBQAAGA6BBQAAGA6BBQAAGA6BBQAAGA6BBQAAGA6BBQAAGA6BBQAAGA6BBQAAGA6BBQAAGA6BBQAAGA6BBQAAGA6BBQAAGA6BBQAAGA6BBQAAGA6BBQAAGA6BBQAAGA6BBQAAGA6BBQAAGA6BBQAAGA6vt4uALjkVGGZCkorHPYdzy/xUjUAAG8ioMAUThWWadQzGSqrrKpxzObno/AgqxeqAgB4CwEFplBQWqGyyiqtmtJPSdHtHY6FB1mVEGbzUmUAAG8goMBUkqLbKzkh1NtlwIVqu01H6ATQEAIKWrTLf/gxZsU8woOssvn5KHVrVo1jNj8f7ZqfQkgBUCcCClqkhn74MWbF+xLCbNo1P6XWgc+pW7NUUFpBQAFQJwIKWqS6fvhJ3D4wk4QwG38XAJqEgIIWix9+ANB6EVAAeEWdg2e9UAsA8yGgAPCohsYPZdwRrmjPlwXAZAgoADyqocGzxWWVrgsohTnSuTP1twmMlMISXfWJAFyEgALA4zwyfqgwR3phoFR5rv52foHS7M8JKYDJEFAAtEwNXR05fbQ6nEz6ixTVre4222ZWn4eAApgKAQVAy+PM1ZFOQwgfQAtEQAFgTqeP1n+soasjEuNLgBaMgALAVKoCIqqvfGybWX9Dro4ArRoBBYCpVLZPqB60yuwboE0joAAwn7BEwgfQxrVz9g0ff/yxJkyYoPj4eFksFr355psOxw3DUFpamuLj42Wz2TR8+HAdPnzYoU15ebnmzp2rqKgoBQUFaeLEiTp58mSzOgKg7TlVWKZDp4pqbKcKy7xdGoBmcvoKSmlpqfr27au77rpLt912W43jK1as0LPPPqv169erW7duWrp0qUaPHq0jR44oODhYkpSamqq3335bW7ZsUWRkpObPn6/x48crMzNTPj4+ze8VTO1UYZnKfipRkqTjP5XovFFU62PPgfqcKizTqGcyVFZZVeOYzc9Hu+ansFYT0II5HVDGjRuncePG1XrMMAytWrVKixcv1qRJkyRJGzZsUExMjDZv3qx77rlHRUVFWrt2rTZu3KhRo0ZJkjZt2qTExETt2rVLY8eObUZ3YHaXfqhceeG43vGX7t+SpcNGkaTqHyrhQVYvV4iWoqC0QmWVVVo1pZ+Sotvb9196Iu0X2f9Wwc/2S6x0DbQkLh2Dkp2drby8PI0ZM8a+z9/fXykpKdq7d6/uueceZWZmqrKy0qFNfHy8kpOTtXfv3loDSnl5ucrLy+2vi4uLXVk23KGOh2iV/VSiKy8c15IhvtL/SKt/00/no3pL4ocHmiYpur2SE0Ltrxta64crK0DL4NKAkpeXJ0mKiYlx2B8TE6PvvvvO3sZqtSo8PLxGm0vvv9zy5cu1ZMkSV5YKd6rnIVpJkt7xl/Q/kvwCldS5sxQWWqMd0FQNrfVTUFpBQAFaALfM4rFYLA6vDcOose9y9bVZuHCh5s2bZ39dXFysxERG+JvWuTN1PkTr+E8lun9Lllb/pt//hhP+HuF6HlnrB4BbuTSgxMbGSqq+ShIXF2ffn5+fb7+qEhsbq4qKChUUFDhcRcnPz9fQoUNrPa+/v7/8/f1dWSo8IaqbFN/PYdd5o0iHjaLq2zpcOUFLwarIgMe5NKB06dJFsbGx2rlzp6655hpJUkVFhTIyMvTkk09Kkvr37y8/Pz/t3LlTkydPliTl5ubq0KFDWrFihSvLAYDmY1VkwCucDiglJSU6fvy4/XV2draysrIUERGhTp06KTU1VcuWLVPXrl3VtWtXLVu2TIGBgZo6daokKTQ0VDNmzND8+fMVGRmpiIgILViwQL1797bP6gEA06jnlqUdqyIDLud0QNm/f79GjBhhf31pbMi0adO0fv16PfjggyorK9O9996rgoICDRo0SB988IH9GSiStHLlSvn6+mry5MkqKyvTyJEjtX79ep6BAsC8arllCcB9nA4ow4cPl2EYdR63WCxKS0tTWlpanW0CAgKUnp6u9PR0Zz8eAAC0AU4/6h4AAMDdCCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB03PKoewBoquP5JTX2sZAk0PYQUACYAqsQA/g5AgoAU/DqKsSnjzbtGAC3IaAAMA2Pr0IcGFm9hs62mfW38wusbgvAYwgoANqusMTqBf5YqRgwHQIKgLYtLJHwAZgQ04wBAIDpcAUFQItw+fTj2qYjA2g9CCgATK2h6cfhQVbPFwXA7QgoAEytrunHEg9wA1ozAgoA0/P49GMAXscgWQAAYDoEFAAAYDrc4gEAV2nosfg88A1oNAIKHBXm8FRNwFnOPDJ/9uf8+wEagYCC/1OYI70wUKo8V387vskCjhrzyPzTR6sDzLkz/NsBGoGAgv9z7kx1OJn0FymqW+1tLn2T/f7Tur8Zs/or2iIemQ+4FAEFNUV1k+L71X6M1V8BAB5AQIFzWP0VAOABBBQ4j0vZAAA34zkoAADAdAgoAADAdLjFA7c4VVhW6+Jux/NLvFANAKClIaDA5U4VlmnUMxkqq6yq9bjNz0fhQVYPVwUAaEkIKHC5gtIKlVVWadWUfkqKbl/jeHiQlZVpAQD1IqDAbZKi2ys5IdTbZQAAWiAGyQIAANMhoAAAANMhoAAAANMhoAAAANMhoAAAANNhFg8AmElhDotxAiKgAIB5FOZILwyUKs/V384vsHpVcUIKWjGX3+JJS0uTxWJx2GJjY+3HDcNQWlqa4uPjZbPZNHz4cB0+fNjVZQBAy3PuTHU4mfQX6Q8ZtW+T/lLdpqGrLEAL55YrKL169dKuXbvsr318fOx/XrFihZ599lmtX79e3bp109KlSzV69GgdOXJEwcHB7igHAFqWqG5SfD9vVwF4lVsGyfr6+io2Nta+dejQQVL11ZNVq1Zp8eLFmjRpkpKTk7VhwwadO3dOmzdvdkcpAACgBXJLQDl27Jji4+PVpUsX/eY3v9G3334rScrOzlZeXp7GjBljb+vv76+UlBTt3bu3zvOVl5eruLjYYQMAAK2Xy2/xDBo0SK+88oq6deumH3/8UUuXLtXQoUN1+PBh5eXlSZJiYmIc3hMTE6PvvvuuznMuX75cS5YscXWpbU9DswNOH/VcLQAA1MPlAWXcuHH2P/fu3VtDhgzRVVddpQ0bNmjw4MGSJIvF4vAewzBq7Pu5hQsXat68efbXxcXFSkxk9LpTnJkdEBjpmZoAAKiD26cZBwUFqXfv3jp27JhuueUWSVJeXp7i4uLsbfLz82tcVfk5f39/+fv7u7vU1u3nswOiutXdjucrAABMwO0Bpby8XF9//bWGDRumLl26KDY2Vjt37tQ111wjSaqoqFBGRoaefPJJd5cCyeWzA04VlqmgtMJh3/H8EpedHwDQNrk8oCxYsEATJkxQp06dlJ+fr6VLl6q4uFjTpk2TxWJRamqqli1bpq5du6pr165atmyZAgMDNXXqVFeXAjc7VVimUc9kqKyyqsYxm5+PwoOsXqgKANAauDygnDx5UrfffrtOnz6tDh06aPDgwdq3b586d+4sSXrwwQdVVlame++9VwUFBRo0aJA++OADnoHSAhWUVqisskqrpvRTUnR7h2PhQVYlhNm8VBkAoKVzeUDZsmVLvcctFovS0tKUlpbm6o9u27w4Qycpur2SE0Lddn4AQNvDWjytATN0gLanMb90MOgdLRgBpTVghg7QdgRGVv+ysW1mw21ZVBAtGAGlNWH9DqD1C0usDh0NLRZ4+mh1iDl3hoCCFomAAgAtTVgioQOtnlvW4gEAAGgOrqAAaFPqepAgU+MBcyGgAGgTwoOssvn5KHVrVq3HbX4+2jU/hZACmAQBBUCbkBBm0675KTWWZpCqr6qkbs1SQWkFAQUwCQIKgDYjIcxGAAFaCAbJAgAA0yGgAAAA0+EWDwB4Un2PqHfjmllAS0NAAQBPaOwj6lkzC5BEQAEAz2jsI+pZMwuQREBpGQpz6v+mxmVhoGXgEfVAoxFQzK4wR3phYPVqxfXhsjAAoBUhoJjduTPV4WTSX6pXK64Ll4UBAK0IAaWliOomxffzdhUA/tepwrJan0rr7Jo+rjoP0NoQUADASacKyzTqmQyVVVbVOObMmj6uOk+9GhqjxtVXmBQBBQCcVFBaobLKKq2a0k9J0e3t+51d08dV56mVM9OaZ39OSIHpEFAAoImSotsrOSHUNOdx0JhpzaePVgeYc2cIKDAdAgoAtFZMa0YLRkABgP91PL+kxj5XDVatbTBsbZ8HoBoBBUCbFx5klc3PR6lbs2occ8Vg1YYGw4YHWWt9X10Bhhk+aAsIKGgUfvtDa5YQZtOu+Sm1/j/e7MGqqnswrFR72KgvMEkunOEDmBgBBQ1q6m9/QEuSEGZz+w/8xg6GrSswSa4LTQ5csVwG05XhYgQUd2poDR2pRfyjdva3P6C1ufxqYUNXD51tXxtPBKZGT0VuDKYrw8UIKO7izBo6UzZKgVG1HzfRQoBumQoJmFhDY1Muv3robHuva+wKyw1hujLcgIDiLo1ZQ+fcaWnrHdKm2+o/FwsBAl5R362W2q4eOtveFJiKDJMioLhbQ2voNOa3lxZwGwhorZy91eKRWzNAG0BA8TZ+ewHQWrDuD1yIgNJUDQ2ANdHYEQBwK9b9gRsQUJrCmQGwjB0B4AbufOqt01y57k8rmf2I5iOgNEVjBsBK/CMC4HLufuptk7nidrUzv/xxJabVI6DUprG3bxoaAAsALubup95KtT85WvLAFZrG/PLHlZg2g4ByOW7fADA5d84UaujJ0c2+QlPf+Dxnfvmr7zyXHuHQ3OdQSYQYLyKgXI7bNwDasLqeHN3sKzTODKSt75c/Z87zuzfqDh/OPIfKU7eTuOrjgIBSF27fAGjD6npydJMH5zb2qbUN/QB21Xmkxg/s/f7T+tu5IjQw/qYGrwaUF198UU899ZRyc3PVq1cvrVq1SsOGDfNmSa2O1+4lA/AKd83uaergXMfvQSH/uzWzJlc9P6qh83hy+rQrx9+0El4LKFu3blVqaqpefPFFXXvttfrzn/+scePG6auvvlKnTp28VVar4vZ7yQBMoykBorZfYOpa2LApg3Mb+h70X3f0V2Qt6xmZ5vuSJ6dPu3LyRSu5VeS1gPLss89qxowZuvvuuyVJq1at0vvvv681a9Zo+fLl3iqrxarrG01995K/yP63Ci5bnbg2TVmJFYBnNRQgLv/3fqa0QrM2ZtYZHmpb2LC+wbm1fZ+o63vQpc+e9tfPa/1sU/3y1NirNa4atNvcyReuWqhW8nqI8UpAqaioUGZmph566CGH/WPGjNHevXtrtC8vL1d5ebn9dVFRkSSpuLjY9cWdLZHKjer/uuP8bvBDYZkmPr9H5ysv1jgW4NdOPSJ9FR9sse/zrfKV9eJ53fdKza91XQL82sm36ryKiy0NNwbgFcHtpOBgx3+j9f17D/Brpxd/c40iAv0c9ocFWhXcrlLFxZUNfqZv1fl6v5/U9j2oU7C/ts+8RoXnHMPUtz+V6qFtB5WTd1rB7VrIyukXrFJVgPTa3fW387VJk16pP4DYIqR2oXX/7Ln08+lEVvWfa3PmuFRSKk14TopMqr3NuTPStj9Iayc1XPPMj6SwjvW3c8Kln9uGYTTc2PCCU6dOGZKMf/7znw77H3/8caNbt2412j/66KOGJDY2NjY2NrZWsOXk5DSYFbw6SNZicUz6hmHU2CdJCxcu1Lx58+yvL168qH//+9+KjIystf0lxcXFSkxMVE5OjkJCQlxXuAnR19aJvrY+baWfEn1trZrTV8MwdPbsWcXHxzfY1isBJSoqSj4+PsrLy3PYn5+fr5iYmBrt/f395e/v77AvLCys0Z8XEhLS6v+HuYS+tk70tfVpK/2U6Gtr1dS+hoaGNqpdO6fP7AJWq1X9+/fXzp07Hfbv3LlTQ4cO9UZJAADARLx2i2fevHm64447NGDAAA0ZMkQvvfSSvv/+e82aNctbJQEAAJPwWkCZMmWKzpw5oz/96U/Kzc1VcnKy3n33XXXu3Nlln+Hv769HH320xu2h1oi+tk70tfVpK/2U6Gtr5am+WgyjMXN9AAAAPMcrY1AAAADqQ0ABAACmQ0ABAACmQ0ABAACm0+IDyosvvqguXbooICBA/fv31yeffFJn2+nTp8tisdTYevXq5cGKm86ZvkrSq6++qr59+yowMFBxcXG66667dOZMAytcmoSzfX3hhRd09dVXy2azqXv37nrllVc8VGnTffzxx5owYYLi4+NlsVj05ptvNviejIwM9e/fXwEBAbryyiv1X//1X+4v1AWc7Wtubq6mTp2q7t27q127dkpNTfVIna7gbF+3bdum0aNHq0OHDgoJCdGQIUP0/vvve6bYZnK2r3v27NG1116ryMhI2Ww29ejRQytXrvRMsc3UlH+vl/zzn/+Ur6+v+vXr57b6XMXZfu7evbvWn6v/+te/ml1Liw4oW7duVWpqqhYvXqwDBw5o2LBhGjdunL7//vta269evVq5ubn2LScnRxEREfr1r3/t4cqd52xf9+zZozvvvFMzZszQ4cOH9frrr+uLL76wrx5tZs72dc2aNVq4cKHS0tJ0+PBhLVmyRLNnz9bbb7/t4cqdU1paqr59++r5559vVPvs7Gz96le/0rBhw3TgwAEtWrRI9913n9544w03V9p8zva1vLxcHTp00OLFi9W3b183V+dazvb1448/1ujRo/Xuu+8qMzNTI0aM0IQJE3TgwAE3V9p8zvY1KChIc+bM0ccff6yvv/5aDz/8sB5++GG99NJLbq60+Zzt6yVFRUW68847NXLkSDdV5lpN7eeRI0ccfr527dq1+cW4ZPU/Lxk4cKAxa9Ysh309evQwHnrooUa9f/v27YbFYjFOnDjhjvJcytm+PvXUU8aVV17psO+5554zOnbs6LYaXcXZvg4ZMsRYsGCBw77777/fuPbaa91Wo6tJMrZv315vmwcffNDo0aOHw7577rnHGDx4sBsrc73G9PXnUlJSjPvvv99t9biTs329pGfPnsaSJUtcX5AbNbWvt956q/G73/3O9QW5kTN9nTJlivHwww8bjz76qNG3b1+31uVqjennRx99ZEgyCgoKXP75LfYKSkVFhTIzMzVmzBiH/WPGjNHevbUv+325tWvXatSoUS59OJw7NKWvQ4cO1cmTJ/Xuu+/KMAz9+OOP+tvf/qabbrrJEyU3WVP6Wl5eroCAAId9NptNn3/+uSorG14uvqX49NNPa3xdxo4dq/3797eqfrZ1Fy9e1NmzZxUREeHtUtzuwIED2rt3r1JSUrxdilusW7dO33zzjR599FFvl+J211xzjeLi4jRy5Eh99NFHLjlniw0op0+fVlVVVY3FBWNiYmosQlib3Nxcvffeey3ilkdT+jp06FC9+uqrmjJliqxWq2JjYxUWFqb09HRPlNxkTenr2LFj9fLLLyszM1OGYWj//v3661//qsrKSp0+fdoTZXtEXl5erV+XCxcutKp+tnXPPPOMSktLNXnyZG+X4jYdO3aUv7+/BgwYoNmzZ7eI78POOnbsmB566CG9+uqr8vX12kPb3S4uLk4vvfSS3njjDW3btk3du3fXyJEj9fHHHzf73C3+q2axWBxeG4ZRY19t1q9fr7CwMN1yyy1uqsz1nOnrV199pfvuu0//+Z//qbFjxyo3N1cPPPCAZs2apbVr13qi3GZxpq+PPPKI8vLyNHjwYBmGoZiYGE2fPl0rVqyQj4+PJ8r1mNq+LrXtR8v02muvKS0tTX//+98VHR3t7XLc5pNPPlFJSYn27dunhx56SElJSbr99tu9XZbLVFVVaerUqVqyZIm6devm7XLcqnv37urevbv99ZAhQ5STk6Onn35a119/fbPO3WIDSlRUlHx8fGr8Vp2fn1/jt8zLGYahv/71r7rjjjtktVrdWaZLNKWvy5cv17XXXqsHHnhAktSnTx8FBQVp2LBhWrp0qeLi4txed1M0pa82m01//etf9ec//1k//vijPdEHBwcrKirKE2V7RGxsbK1fF19fX0VGRnqpKrjK1q1bNWPGDL3++usaNWqUt8txqy5dukiSevfurR9//FFpaWmtKqCcPXtW+/fv14EDBzRnzhxJ1bfuDMOQr6+vPvjgA91www1ertJ9Bg8erE2bNjX7PC32Fo/ValX//v21c+dOh/07d+7U0KFD631vRkaGjh8/rhkzZrizRJdpSl/PnTundu0c/3ovXU0wTLz8UnP+Xv38/NSxY0f5+Phoy5YtGj9+fI2vQUs2ZMiQGl+XDz74QAMGDJCfn5+XqoIrvPbaa5o+fbo2b95s+nFirmYYhsrLy71dhkuFhITo4MGDysrKsm+zZs1S9+7dlZWVpUGDBnm7RLc6cOCAS34JbrFXUCRp3rx5uuOOOzRgwAANGTJEL730kr7//nvNmjVLkrRw4UKdOnWqxjMx1q5dq0GDBik5OdkbZTeJs32dMGGCZs6cqTVr1thv8aSmpmrgwIGKj4/3Zlca5Gxfjx49qs8//1yDBg1SQUGBnn32WR06dEgbNmzwZjcaVFJSouPHj9tfZ2dnKysrSxEREerUqVONfs6aNUvPP/+85s2bp5kzZ+rTTz/V2rVr9dprr3mrC43mbF8lKSsry/7en376SVlZWbJarerZs6eny3eKs3197bXXdOedd2r16tUaPHiw/SqZzWZTaGioV/rQWM729YUXXlCnTp3Uo0cPSdWPQ3j66ac1d+5cr9TvDGf62q5duxo/X6KjoxUQEGD6nzvO/p2uWrVKV1xxhXr16qWKigpt2rRJb7zxhmsef+DyeUEe9sILLxidO3c2rFar8Ytf/MLIyMiwH5s2bZqRkpLi0L6wsNCw2WzGSy+95OFKm8/Zvj733HNGz549DZvNZsTFxRm//e1vjZMnT3q46qZxpq9fffWV0a9fP8NmsxkhISHGzTffbPzrX//yQtXOuTQ97/Jt2rRphmHU/ne6e/du45prrjGsVqtxxRVXGGvWrPF84U3QlL7W1r5z584er91ZzvY1JSWl3vZm5mxfn3vuOaNXr15GYGCgERISYlxzzTXGiy++aFRVVXmnA05oyv/DP9dSphk7288nn3zSuOqqq4yAgAAjPDzcuO6664x33nnHJbVYDMPE1/sBAECb1Hpu0AMAgFaDgAIAAEyHgAIAAEyHgAIAAEyHgAIAAEyHgAIAAEyHgAIAAEyHgAIAAEyHgAIAAEyHgAIAAEyHgAIAAEyHgAIAAEzn/wPKsd4TPWtkUwAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "unpatched, patched use avgs are 0.99994 1.00003 and their SDs are 0.10032 0.07476\n",
      "And here is the pop distro\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "checking contiguity of final HDs\n",
      "working on HD 0 out of 5159\n",
      "working on HD 300 out of 5159\n",
      "working on HD 600 out of 5159\n",
      "working on HD 900 out of 5159\n",
      "working on HD 1200 out of 5159\n",
      "working on HD 1500 out of 5159\n",
      "working on HD 1800 out of 5159\n",
      "working on HD 2100 out of 5159\n",
      "working on HD 2400 out of 5159\n",
      "working on HD 2700 out of 5159\n",
      "working on HD 3000 out of 5159\n",
      "working on HD 3300 out of 5159\n",
      "working on HD 3600 out of 5159\n",
      "working on HD 3900 out of 5159\n",
      "working on HD 4200 out of 5159\n",
      "working on HD 4500 out of 5159\n",
      "working on HD 4800 out of 5159\n",
      "working on HD 5100 out of 5159\n",
      "all done checking HD and complement contiguity for all 5159 HDs\n"
     ]
    }
   ],
   "source": [
    "patchedUse, unpUse = [0.]*nUnits, [0.]*nUnits  #IMMEDIATELY BELOW - AFTER FIRST PASS.\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        patchedUse[u] += HDweight[t] * nDistricts\n",
    "    for u in unpatchedHDlist[t]:\n",
    "        unpUse[u] += HDweight[t] * nDistricts\n",
    "plt.hist(patchedUse,bins=50, label=\"patched\",histtype=\"step\")\n",
    "plt.hist(unpUse, bins=50, label=\"unpatched\",histtype=\"step\")\n",
    "plt.legend()\n",
    "plt.show()\n",
    "patchedAvg, patchedSD = getWeightedAvgAndSD(patchedUse,unitPop)\n",
    "unpatchedAvg, unpatchedSD = getWeightedAvgAndSD(unpUse,unitPop)\n",
    "print(\"unpatched, patched use avgs are\",r5(unpatchedAvg), r5(patchedAvg),\"and their SDs are\",r5(unpatchedSD), r5(patchedSD) )\n",
    "print(\"And here is the pop distro\")\n",
    "plt.hist([HDvPop[t] for t in popHDlist])\n",
    "plt.axvline(aDP, ls=\"--\",color=\"orange\")\n",
    "plt.show()\n",
    "print(\"checking contiguity of final HDs\")\n",
    "for t in popHDlist:\n",
    "    if t%300 == 0:\n",
    "        print(\"working on HD\",t,\"out of\",nHDs)\n",
    "    unbroken, noEnclave, sList, eList = enclaveCheck(HDunitList[t], unitNbrs)  #these HDunitLists now appear to be sets\n",
    "    if not unbroken or not noEnclave:\n",
    "        print(\"uh-oh, HD\",t,\"has contiguity, complement-contiguity of\",unbroken, noEnclave)\n",
    "print(\"all done checking HD and complement contiguity for all\",nHDs,\"HDs\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 251,
   "id": "4799e08d-f05c-40fc-be23-405360807f3b",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "currHDlist = [HDunitList[t].copy() for t in range(nHDs)]  #safekeeping"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 252,
   "id": "77c07848-50c2-4fe9-8841-768b02bf4ac4",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Currently, we will stop patching when the overall sd of usage is less than 0.055\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter updated maxSD value 0.055\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "default use threshold for intervention is 1.055\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter updated stopMaxUse value 1.055\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "there are currently 1267 units out of 5212 with usage above 1.055\n",
      "maxExchangePop is currently 0.03 fraction of avgDistrictPop\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "Enter updated maxExchangePop fraction 0.03\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "this block reduces overuse, with exchanges up to 22618\n",
      "current avg and SD of unit usage are 1.00007 0.07477 . Now trying to reduce up to 10 units' overusage\n",
      "starting to reduce usage for unit 3420 with usage 1.30662 . Total units tried = 1\n",
      "try to drop unit 3420 from 54 th HD.  usage down to 1.281603730763186\n",
      "try to drop unit 3420 from 108 th HD.  usage down to 1.2045652158532334\n",
      "try to drop unit 3420 from 162 th HD.  usage down to 1.130125024905693\n",
      "all done trying to reduce usage of unit 3420 final usage = 1.0544 351 sec elapsed 140 58 successful, failed patches, couldn't start= 15\n",
      "current avg and SD of usage are 1.00011 0.07187\n",
      "starting to reduce usage for unit 3098 with usage 1.27303 . Total units tried = 2\n",
      "try to drop unit 3098 from 34 th HD.  usage down to 1.2320817186220792\n",
      "try to drop unit 3098 from 68 th HD.  usage down to 1.2060533830231437\n",
      "try to drop unit 3098 from 102 th HD.  usage down to 1.1743522390591135\n",
      "try to drop unit 3098 from 136 th HD.  usage down to 1.1442294542146674\n",
      "try to drop unit 3098 from 170 th HD.  usage down to 1.0992037760360611\n",
      "all done trying to reduce usage of unit 3098 final usage = 1.09445 817 sec elapsed 98 73 successful, failed patches, couldn't start= 1\n",
      "current avg and SD of usage are 1.00013 0.07013\n",
      "starting to reduce usage for unit 428 with usage 1.21587 . Total units tried = 3\n",
      "try to drop unit 428 from 21 th HD.  usage down to 1.2158723683696058\n",
      "try to drop unit 428 from 42 th HD.  usage down to 1.2135273776776512\n",
      "try to drop unit 428 from 63 th HD.  usage down to 1.2135273776776512\n",
      "try to drop unit 428 from 84 th HD.  usage down to 1.2120285996901468\n",
      "try to drop unit 428 from 105 th HD.  usage down to 1.2120285996901468\n",
      "all done trying to reduce usage of unit 428 final usage = 1.21203 827 sec elapsed 2 0 successful, failed patches, couldn't start= 107\n",
      "current avg and SD of usage are 1.00013 0.07008\n",
      "starting to reduce usage for unit 432 with usage 1.21345 . Total units tried = 4\n",
      "try to drop unit 432 from 21 th HD.  usage down to 1.2134464701933696\n",
      "try to drop unit 432 from 42 th HD.  usage down to 1.2134464701933696\n",
      "try to drop unit 432 from 63 th HD.  usage down to 1.2134464701933696\n",
      "try to drop unit 432 from 84 th HD.  usage down to 1.2134464701933696\n",
      "try to drop unit 432 from 105 th HD.  usage down to 1.211202282268716\n",
      "all done trying to reduce usage of unit 432 final usage = 1.2112 835 sec elapsed 1 0 successful, failed patches, couldn't start= 106\n",
      "current avg and SD of usage are 1.00013 0.07006\n",
      "starting to reduce usage for unit 429 with usage 1.20889 . Total units tried = 5\n",
      "try to drop unit 429 from 21 th HD.  usage down to 1.1989043446579677\n",
      "try to drop unit 429 from 42 th HD.  usage down to 1.1858716079276825\n",
      "try to drop unit 429 from 63 th HD.  usage down to 1.156596362139887\n",
      "try to drop unit 429 from 84 th HD.  usage down to 1.1241259338990837\n",
      "try to drop unit 429 from 105 th HD.  usage down to 1.0940734457213113\n",
      "all done trying to reduce usage of unit 429 final usage = 1.08871 1133 sec elapsed 62 0 successful, failed patches, couldn't start= 46\n",
      "current avg and SD of usage are 1.00013 0.06885\n",
      "starting to reduce usage for unit 391 with usage 1.228 . Total units tried = 6\n",
      "try to drop unit 391 from 24 th HD.  usage down to 1.1879088849089139\n",
      "try to drop unit 391 from 48 th HD.  usage down to 1.1439668364787923\n",
      "try to drop unit 391 from 72 th HD.  usage down to 1.0957101643377385\n",
      "try to drop unit 391 from 96 th HD.  usage down to 1.0681207121978398\n",
      "all done trying to reduce usage of unit 391 final usage = 1.05354 1425 sec elapsed 82 0 successful, failed patches, couldn't start= 22\n",
      "current avg and SD of usage are 1.00013 0.06745\n",
      "starting to reduce usage for unit 4661 with usage 1.2184 . Total units tried = 7\n",
      "try to drop unit 4661 from 25 th HD.  usage down to 1.1691860972349357\n",
      "try to drop unit 4661 from 50 th HD.  usage down to 1.1169729164773103\n",
      "try to drop unit 4661 from 75 th HD.  usage down to 1.0751755795567464\n",
      "all done trying to reduce usage of unit 4661 final usage = 1.0525 1830 sec elapsed 84 0 successful, failed patches, couldn't start= 2\n",
      "current avg and SD of usage are 1.00013 0.06618\n",
      "starting to reduce usage for unit 124 with usage 1.17478 . Total units tried = 8\n",
      "try to drop unit 124 from 46 th HD.  usage down to 1.0942047545892326\n",
      "all done trying to reduce usage of unit 124 final usage = 1.05491 1892 sec elapsed 61 0 successful, failed patches, couldn't start= 8\n",
      "current avg and SD of usage are 1.00013 0.06538\n",
      "starting to reduce usage for unit 3416 with usage 1.16431 . Total units tried = 9\n",
      "try to drop unit 3416 from 46 th HD.  usage down to 1.1212822347794091\n",
      "all done trying to reduce usage of unit 3416 final usage = 1.05307 2082 sec elapsed 55 0 successful, failed patches, couldn't start= 34\n",
      "current avg and SD of usage are 1.00013 0.06465\n",
      "starting to reduce usage for unit 2692 with usage 1.16277 . Total units tried = 10\n",
      "try to drop unit 2692 from 19 th HD.  usage down to 1.1420993325793178\n",
      "try to drop unit 2692 from 38 th HD.  usage down to 1.1253395461632896\n",
      "try to drop unit 2692 from 57 th HD.  usage down to 1.108355606225237\n",
      "try to drop unit 2692 from 76 th HD.  usage down to 1.0961796930170122\n",
      "try to drop unit 2692 from 95 th HD.  usage down to 1.0759740435819243\n",
      "all done trying to reduce usage of unit 2692 final usage = 1.07597 2391 sec elapsed 56 31 successful, failed patches, couldn't start= 13\n",
      "current avg and SD of usage are 1.00013 0.06384\n"
     ]
    }
   ],
   "source": [
    "#SECOND PATCHING BLOCK -- OVERUSERS.  WATCH FOR CREATING LONG STRINGS\n",
    "maxSD = 0.055 #0.06  #0.08\n",
    "print(\"Currently, we will stop patching when the overall sd of usage is less than\",maxSD)\n",
    "maxSD = float(input(\"enter updated maxSD value\"))\n",
    "stopMaxUse = 1.+  1.* maxSD  #0.5*maxSD  #don't be too aggressive; may create long chains\n",
    "print(\"default use threshold for intervention is\",r5(stopMaxUse) )\n",
    "stopMaxUse = float(input(\"enter updated stopMaxUse value\"))\n",
    "nInPlay = 0\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] > stopMaxUse:\n",
    "        nInPlay +=1\n",
    "print(\"there are currently\",nInPlay,\"units out of\",nUnits,\"with usage above\",stopMaxUse)\n",
    "\n",
    "nBigUsers = 5\n",
    "print(\"maxExchangePop is currently\",r5(maxExchangePop/aDP),\"fraction of avgDistrictPop\")\n",
    "newMEPratio = float(input(\"Enter updated maxExchangePop fraction\"))\n",
    "maxExchangePop = newMEPratio*aDP \n",
    "print(\"this block reduces overuse, with exchanges up to\",int(maxExchangePop)) #1/25/24\n",
    "maxGap = 0.9 * np.median(unitPop) \n",
    "maxNtries = 0\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] > stopMaxUse:\n",
    "        maxNtries +=1\n",
    "maxNtries = int(currSD * nUnits / nDistricts)   #try up to about 10% of the districts a unit is drawn into\n",
    "#maxNtries = 10 #override\n",
    "currAvg, currSD = getWeightedAvgAndSD(unitUse,unitPop)\n",
    "attemptedBigUs = list()\n",
    "print(\"current avg and SD of unit usage are\",r5(currAvg), r5(currSD),\". Now trying to reduce up to\",maxNtries,\"units' overusage\" )\n",
    "startTime = time.time()\n",
    "while currSD > maxSD and len(attemptedBigUs) < maxNtries: \n",
    "    #each round, find the (5) most overused not-yet-tried units. Pick the unit w/ most overuse of it + 1-nbrs\n",
    "    idx = np.argsort(unitUse)\n",
    "    idxNo, nBigFound, bigUsers = 0,0,list()\n",
    "    while nBigFound < nBigUsers:\n",
    "        consideredBigU = idx[-idxNo-1]\n",
    "        if consideredBigU not in attemptedBigUs:\n",
    "            bigUsers.append(consideredBigU)\n",
    "            nBigFound +=1\n",
    "        idxNo +=1\n",
    "    OUUclusters = [ [b] + unitNbrs[b] for b in bigUsers ]\n",
    "    bigOverUse = [np.sum([(unitUse[j] - 1.) for j in OUUclusters[i] ]) for i in range(nBigUsers) ]\n",
    "    bigI = bigOverUse.index(np.max(bigOverUse))\n",
    "    OUU = bigUsers[ bigI ]  #pick the unit that centers cluster with most overuse\n",
    "    attemptedBigUs.append(OUU)  #so we don't try this unit again in a future loop\n",
    "    OUUc = OUUclusters[bigI]  #the list of this unit and ALL its neighbors (to be curated below ...)\n",
    "    print(\"starting to reduce usage for unit\",OUU,\"with usage\",r5(unitUse[OUU]),\". Total units tried =\",len(attemptedBigUs) )\n",
    "    for u in OUUc.copy():\n",
    "        if unitUse[u] < 1.:\n",
    "            OUUc.remove(u)  #...drop any underused neighbors of the primary OUU from the target sheddable cluster\n",
    "    OUU2nbrSet = set( unitNbrs[OUU])\n",
    "    for u in OUUc:\n",
    "        OUU2nbrSet = OUU2nbrSet.union(set(unitNbrs[u])) \n",
    "    for u in OUUc:\n",
    "        OUU2nbrSet = OUU2nbrSet.difference({u})\n",
    "    ouuHDs, ouuDists = list(), list()\n",
    "    for t in popHDlist:  #finding all HDs with at least one cluster member on the boundary\n",
    "        if OUU in HDunitList[t]:\n",
    "            HDadjoinSet = set( getAdjoiners(HDunitList[t],unitNbrs) )\n",
    "            if len(HDadjoinSet.intersection(OUU2nbrSet) ) > 0: #the OUU or one of its overused 1-neighbors adjoins the complement\n",
    "                ouuHDs.append(t)  #so we can shed the OOUc to the complement\n",
    "                ouuDists.append( unitCP[OUU].distance(hdCP[t]) / avgDist[t] )\n",
    "    nPatchSuccess, nPatchFail, nCouldntStart, idxNo, idx0 = 0, 0, 0, 0, np.argsort(ouuDists)\n",
    "    while unitUse[OUU] > stopMaxUse and idxNo > -0.5*len(ouuHDs): #arbitrarily only examine 50% of HDs, biasing farthest ones\n",
    "        idxNo -=1\n",
    "        if idxNo % int(0.1*len(ouuHDs)) == 0:\n",
    "            print(\"try to drop unit\",OUU,\"from\",abs(idxNo),\"th HD.  usage down to\",unitUse[OUU] )\n",
    "        t = ouuHDs[idx0[idxNo]]\n",
    "        trySet = set(HDunitList[t]).difference(set(OUUc))\n",
    "        contig,complementContig, __, ___ = enclaveCheck(list(trySet), unitNbrs)\n",
    "        if not (contig and complementContig):  #dropping the cluster creates a problem (likely an HD discontig).  Try something simpler ...\n",
    "            if len(set(unitNbrs[OUU]).intersection(HDadjoinSet) )  > 0:  #Yay! The OUU itself on border.  Try dropping just it, not the full cluster\n",
    "                HDouuSet = {OUU}\n",
    "                trySet = set(HDunitList[t]).difference( {OUU} )\n",
    "                contig,complementContig, __, ___ = enclaveCheck(list(trySet), unitNbrs)\n",
    "        else:\n",
    "            HDouuSet = set(HDunitList[t]).intersection(set(OUUc))\n",
    "        if contig and complementContig:  #we can at least drop the cluster, let's go for more\n",
    "            #HDouuSet = set(HDunitList[t]).intersection(set(OUUc))  #the subset of the OUU cluster that's in this HD.  Defined above\n",
    "            HDouuCpop = np.sum([unitPop[u] for u in HDouuSet])\n",
    "            giveUpOnShedding = False            \n",
    "            shedCandidates, shedScores = list(), list()\n",
    "            bdryCandidates = getBdryNonEdgers(trySet, unitNbrs)  #new - any boundary unit can be shed, even if far from OUUc\n",
    "            for u in bdryCandidates:\n",
    "                if HDouuCpop + unitPop[u] <= maxExchangePop:\n",
    "                    shedCandidates.append(u)\n",
    "                    shedScores.append((unitUse[u] - 1.) * unitCP[u].distance(hdCP[t])/avgDist[t])  #bias toward far, overused\n",
    "            if len(shedCandidates) == 0:\n",
    "                giveUpOnShedding = True\n",
    "            while HDouuCpop < maxExchangePop and not giveUpOnShedding:\n",
    "                idx, ij, notYetPicked = np.argsort(shedScores), 0, True\n",
    "                while ij < len(shedScores) and notYetPicked:\n",
    "                    listNo = idx[-1-ij]   #work from high to low score\n",
    "                    shedU = shedCandidates[listNo]\n",
    "                    if shedScores[listNo] <= 0:  #we're delving into the underused; stop adding to shed list\n",
    "                        break\n",
    "                    contig,cContig, __, ___ = enclaveCheck(list(trySet.difference({shedU}) ), unitNbrs)\n",
    "                    if contig and cContig:\n",
    "                        notYetPicked = False\n",
    "                        HDouuCpop += unitPop[shedU]\n",
    "                        #print(\"shedding unit\",shedU,\"from HD\",t,\"total shed Pop now\", HDouuCpop)\n",
    "                        HDouuSet.add(shedU)\n",
    "                        trySet.remove(shedU)\n",
    "                        del shedScores[shedCandidates.index(shedU)]\n",
    "                        del shedCandidates[shedCandidates.index(shedU)]\n",
    "                        newSheddables = set(unitNbrs[shedU]).intersection(trySet)\n",
    "                        for u in newSheddables:\n",
    "                            if HDouuCpop + unitPop[u] <= maxExchangePop and u not in shedCandidates:\n",
    "                                shedCandidates.append(u)\n",
    "                                shedScores.append((unitUse[u] - 1.) * unitCP[u].distance(hdCP[t])/avgDist[t])\n",
    "                    else:\n",
    "                        ij +=1\n",
    "                if notYetPicked:\n",
    "                    giveUpOnShedding = True  #all candidates would create a discontig, so can't shed any more units\n",
    "            shedSet = HDouuSet.copy()  #set(OUUc).intersection(set(HDunitList[t]))\n",
    "            trySet = set(HDunitList[t]).difference(shedSet) \n",
    "            gap = aDP - np.sum([unitPop[u] for u in trySet])\n",
    "            nearHDlist, nearHDscore = list(), list()  #these will be dynamic lists of the nearby underused units\n",
    "            for u in trySet:\n",
    "                for uu in unitNbrs[u]:\n",
    "                    if uu not in HDunitList[t] and uu not in nearHDlist and unitPop[uu] < gap + maxGap and unitUse[uu] < 1.01:\n",
    "                        nearHDlist.append(uu)\n",
    "                        nearHDscore.append((unitUse[uu]-1.) + 0.1*unitCP[uu].distance(hdCP[t]) / avgDist[t] )\n",
    "                        #bias toward UNDERUSED, close\n",
    "            addedSet = set( )    \n",
    "            stillGoing = True \n",
    "            while gap > maxGap and len(nearHDlist) > 0 and stillGoing:   #add the lowest-scoring neighboring underused unit until we've roughly squared the HDpop\n",
    "                nearHDscore2 = nearHDscore.copy()\n",
    "                for ij, uu in enumerate(nearHDlist):\n",
    "                    nHDnbrs = len( set(unitNbrs[uu]).intersection(trySet) )\n",
    "                    if nHDnbrs == 1 :  #BIAS AGAINST CREATING A SLIM CHAIN\n",
    "                        nearHDscore2[ij] += 0.5   #make this score less negative  #NEW FOR GA 3/11/24\n",
    "                idx, ij, notYetPicked = np.argsort(nearHDscore2), 0, True   #originally, used nearHDscore itself here\n",
    "                while ij < len(nearHDscore) and notYetPicked:        \n",
    "                    listNo = idx[ij]   #nearHDscore.index(np.min(nearHDscore))\n",
    "                    unitNoToAdd = nearHDlist[listNo]  #add this unit ...                            \n",
    "                    canAdd  = wontEnclave(unitNoToAdd, list(trySet), unitNbrs, borderUnits)\n",
    "                    if canAdd:\n",
    "                        notYetPicked = False\n",
    "                    else:\n",
    "                        ij +=1\n",
    "                if notYetPicked:\n",
    "                    stillGoing = False  #can't add any more units; we can't without creating an enclave\n",
    "                else:\n",
    "                    gap -= unitPop[unitNoToAdd]\n",
    "                    addedSet.add(unitNoToAdd)\n",
    "                    trySet.add( unitNoToAdd)\n",
    "                    for uu in unitNbrs[unitNoToAdd]:             # ... and add its nonHD neighbors to future candidates\n",
    "                        if uu not in trySet and uu not in nearHDlist and unitPop[uu] < gap + maxGap and unitUse[uu] < 1.01:  \n",
    "                            nearHDlist.append(uu)\n",
    "                            nearHDscore.append( (unitUse[uu]-1.) + 0.1*unitCP[uu].distance(hdCP[t]) / avgDist[t] ) \n",
    "                            #bias toward UNDERUSED, ~close\n",
    "                    del nearHDscore[nearHDlist.index(unitNoToAdd)]        \n",
    "                    del nearHDlist[ nearHDlist.index(unitNoToAdd) ]\n",
    "                    for ijj, uu in enumerate(nearHDlist.copy()):\n",
    "                        if unitPop[uu] > gap + maxGap:   #with the added pop from another unit, this unit is now too big to add\n",
    "                            del nearHDscore[nearHDlist.index(uu)]\n",
    "                            del nearHDlist[ nearHDlist.index(uu)]\n",
    "            currPop = np.sum([unitPop[u] for u in trySet])\n",
    "            if abs(currPop - aDP) <= 2.* maxGap:\n",
    "                for u in shedSet:\n",
    "                    unitUse[u] -= HDweight[t] * nDistricts\n",
    "                for u in addedSet:\n",
    "                    unitUse[u] += HDweight[t] * nDistricts\n",
    "                HDunitList[t] = list(trySet)\n",
    "                HDvPop[t]    = currPop\n",
    "                nPatchSuccess +=1\n",
    "            else:\n",
    "                nPatchFail +=1\n",
    "            # end of shed + add patching on this HD\n",
    "            #print(\"shed and patched for HD, OUU\",t,OUU)\n",
    "        else:\n",
    "            nCouldntStart +=1\n",
    "            #print(\"Due to discontiguity, can't drop OUU cluster for HD, OUU\", t, OUU)\n",
    "    print(\"all done trying to reduce usage of unit\",OUU,\"final usage =\",r5(unitUse[OUU]),int(time.time()-startTime),\"sec elapsed\",\n",
    "         nPatchSuccess,nPatchFail,\"successful, failed patches, couldn't start=\",nCouldntStart)\n",
    "    currAvg, currSD = getWeightedAvgAndSD(unitUse,unitPop)\n",
    "    print(\"current avg and SD of usage are\",r5(currAvg), r5(currSD) )\n",
    "            \n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 254,
   "id": "cb60da52-ca13-45dd-8bf0-475213183a0d",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "overused units\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"overused units\")\n",
    "maxPlot = 1.16\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] > maxPlot:\n",
    "        plotPoly(unitGeom[u])\n",
    "        plotCenter(round(unitUse[u],2),unitGeom[u])\n",
    "plotPoly(MAP,0.2)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fa912158-e8e9-46f3-8c3d-f6b17c26e62c",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Note - for IN, above is second run-through after passing first 10 thru without trying OUU alone-shed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 255,
   "id": "0d4f1372-6044-4803-91d9-de4b95a40083",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "unpatched, patched use avgs are 0.99994 1.0 and their SDs are 0.10032 0.06379\n",
      "And here is the pop distro\n"
     ]
    },
    {
     "data": {
      "image/png": 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gQzgCAACwIRwBAADYEI4AAABsCEcAAAA2hCMAAAAbPucIgOOcNvG6cfdvrHUACCfCEQDHMeqkPcGekR4GgCjFaTUAAAAbZo4AOE6cq0HTvX+QJP2mejyPDwEQVoQjAI4TqyYVpf1ekvRs9Tg1iHAEIHw4rQYAAGBDOAIAALAhHAEAANgQjgAAAGwIRwAAADaEIwAAABtu5QfgOEETp4I9T1nrABBOhCMAjtOsGH1Yd2WkhwEgSnFaDQAAwIaZIwCOE+dq0E9SV0uSlnxZwONDAIQV4QiA48SqSQ+lL5EkLftyDI8PARBWnFYDAACwIRwBAADYEI4AAABsCEcAAAA2hCMAAAAbwhEAAIANt/IDcJygidPtny2w1gEgnAhHABynWTEq//qaSA8DQJRq9Wm1d955RzfddJP8fr9cLpdWrVoV8v7kyZPlcrlClkGDBoXUBINBzZw5U6mpqUpMTFRBQYEOHToUUlNTU6PCwkJ5PB55PB4VFhbq+PHjrW4QAACgNVodjr7++mv1799fixcv/taavLw8VVZWWsvatWtD3i8qKtLKlSu1YsUKbdq0SSdPnlR+fr6ampqsmokTJ6qiokIlJSUqKSlRRUWFCgsLWztcAFEoVo0q7PZnFXb7s2LVGOnhAIgyrT6tNnr0aI0ePfo7a9xut3w+33nfCwQCev7557Vs2TKNHDlSkvTSSy8pIyND69ev16hRo7Rr1y6VlJSovLxc2dnZkqTnnntOOTk52r17t/r27dvaYQOIInGuRv3qst9Kkl79aqQaDVcIAAifdrlb7e2335bX69WVV16pqVOnqrq62npv27ZtamhoUG5urrXN7/crMzNTZWVlkqTNmzfL4/FYwUiSBg0aJI/HY9WcKxgMqra2NmQBAABorbCHo9GjR2v58uXasGGDnnzySW3dulXDhw9XMBiUJFVVVSk+Pl5du3YN+bq0tDRVVVVZNV6vt8W+vV6vVXOu4uJi6/okj8ejjIyMMHcGAAAuBmGfi54wYYK1npmZqYEDB6pnz55as2aNxo4d+61fZ4yRy+WyXtvXv63Gbt68eZo9e7b1ura2loAEAABard0/BDI9PV09e/bUnj17JEk+n0/19fWqqakJqauurlZaWppVc+TIkRb7Onr0qFVzLrfbreTk5JAFAACgtdo9HB07dkwHDx5Uenq6JGnAgAGKi4tTaWmpVVNZWamdO3dq8ODBkqScnBwFAgG99957Vs2WLVsUCASsGgAAgPbQ6tNqJ0+e1N69e63X+/btU0VFhVJSUpSSkqL58+dr3LhxSk9P1/79+/XQQw8pNTVVt956qyTJ4/FoypQpmjNnjrp166aUlBTNnTtXWVlZ1t1r/fr1U15enqZOnapnn31WknTXXXcpPz+fO9UAAEC7anU4ev/99zVs2DDr9dnrfCZNmqRnnnlGO3bs0Isvvqjjx48rPT1dw4YN0yuvvKKkpCTraxYuXKjY2FiNHz9edXV1GjFihJYuXaqYmBirZvny5Zo1a5Z1V1tBQcF3frYSgItHvYnTT/Y9Yq0DQDi5jDEm0oNoD7W1tfJ4PAoEAlx/BHyPXg+uifQQLgr7Hx0T6SEAHV5H+P3d7tccAQAAOAkfKwvAcWLVqFu6vi1JWlUzVI0cygCEEUcUAI4T52rUExmLJElrjl/P40MAhBWn1QAAAGwIRwAAADaEIwAAABvCEQAAgA3hCAAAwIZwBAAAYMP9rwAcp97E6Z7PH7TWASCcCEcAHKdJMVobuD7SwwAQpTitBgAAYMPMEQDHiVGTRnk2S5LeCOSoSTERHhGAaEI4AuA48a4GPd3zUUlSvx2vqs4QjgCED6fVAAAAbAhHAAAANoQjAAAAG8IRAACADeEIAADAhnAEAABgw638ABynwcRq7sEiax0AwomjCgDHaVSsXq0ZGelhAIhSnFYDAACwYeYIgOPEqEk/TtouSXrnxLU8PgRAWBGOADhOvKtBS3r/QhKPDwEQfpxWAwAAsCEcAQAA2BCOAAAAbAhHAAAANoQjAAAAG8IRAACADbfyA3CcBhOr//PF3dY6AIQTRxUAjtOoWC07lh/pYQCIUpxWAwAAsGHmCIDjdFKT/kfiR5Kk976+Ws08PgRAGBGOADiO29WgFZc/JInHhwAIP06rAQAA2BCOAAAAbAhHAAAANoQjAAAAG8IRAACADeEIAADAhlv5AThOo2K0oPIn1joAhBPhCIDjNJg4/e7ouEgPA0CU4rQaAACADTNHABynk5qUmfCZJGln3eU8PgRAWBGOADiO29Wg1X1mS+LxIQDCj9NqAAAANoQjAAAAG8IRAACADeEIAADAhnAEAABgQzgCAACwaXU4euedd3TTTTfJ7/fL5XJp1apVIe8bYzR//nz5/X4lJCRo6NCh+uijj0JqgsGgZs6cqdTUVCUmJqqgoECHDh0KqampqVFhYaE8Ho88Ho8KCwt1/PjxVjcIIPo0KkaLjtyhRUfu4PEhAMKu1eHo66+/Vv/+/bV48eLzvv/444/rqaee0uLFi7V161b5fD7deOONOnHihFVTVFSklStXasWKFdq0aZNOnjyp/Px8NTU1WTUTJ05URUWFSkpKVFJSooqKChUWFrahRQDRpsHEadGRO7XoyJ1qMHGRHg6AKOMyxpg2f7HLpZUrV+qWW26RdGbWyO/3q6ioSA888ICkM7NEaWlpeuyxxzRt2jQFAgFdeumlWrZsmSZMmCBJOnz4sDIyMrR27VqNGjVKu3bt0lVXXaXy8nJlZ2dLksrLy5WTk6NPPvlEffv2/d6x1dbWyuPxKBAIKDk5ua0tAheFXg+uifQQLgr7Hx0T6SEAHV5H+P0d1muO9u3bp6qqKuXm5lrb3G63hgwZorKyMknStm3b1NDQEFLj9/uVmZlp1WzevFkej8cKRpI0aNAgeTweq+ZcwWBQtbW1IQuA6ORSs/q4P1cf9+dyqTnSwwEQZcIajqqqqiRJaWlpIdvT0tKs96qqqhQfH6+uXbt+Z43X622xf6/Xa9Wcq7i42Lo+yePxKCMj44L7AdAxdXbVq7TvdJX2na7OrvpIDwdAlGmXu9VcLlfIa2NMi23nOrfmfPXftZ958+YpEAhYy8GDB9swcgAAcLELazjy+XyS1GJ2p7q62ppN8vl8qq+vV01NzXfWHDlypMX+jx492mJW6iy3263k5OSQBQAAoLXCGo569+4tn8+n0tJSa1t9fb02btyowYMHS5IGDBiguLi4kJrKykrt3LnTqsnJyVEgENB7771n1WzZskWBQMCqAQAAaA+xrf2CkydPau/evdbrffv2qaKiQikpKerRo4eKioq0YMEC9enTR3369NGCBQvUpUsXTZw4UZLk8Xg0ZcoUzZkzR926dVNKSormzp2rrKwsjRw5UpLUr18/5eXlaerUqXr22WclSXfddZfy8/N/0J1qAAAAbdXqcPT+++9r2LBh1uvZs2dLkiZNmqSlS5fq/vvvV11dne655x7V1NQoOztb69atU1JSkvU1CxcuVGxsrMaPH6+6ujqNGDFCS5cuVUzMXz/Mbfny5Zo1a5Z1V1tBQcG3frYSAABAuFzQ5xx1ZB3hcxIAp3Da5xwluE5rV9ZtkqR+O15Vnekc4RH9MHzOEfD9OsLv71bPHAFApDUqRs8eHWutA0A4EY4AOE6DiVNx5U8jPQwAUapdPucIAADAqZg5AuA4LjXrsrijkqQvGi6V4e88AGFEOALgOJ1d9drUb4okZ12QDcAZ+HMLAADAhnAEAABgQzgCAACwIRwBAADYEI4AAABsCEcAAAA23MoPwHGaFKMXvxxjrQNAOBGOADhOvYnT/z38vyM9DABRitNqAAAANswcAXAgo5SYWknSV03JklyRHQ6AqEI4AuA4Ca6gtl99pyQeHwIg/DitBgAAYEM4AgAAsCEcAQAA2BCOAAAAbAhHAAAANoQjAAAAG27lB+A4TYrRq1+NsNYBIJwIRwAcp97Eae6heyM9DABRitNqAAAANswcAXAgowRXUJJUZ9zi8SEAwomZIwCOk+AKalfWbdqVdZsVkgAgXAhHAAAANoQjAAAAG8IRAACADeEIAADAhnAEAABgQzgCAACw4XOOADhOszppzfH/aa0DQDgRjgA4TtDEa/qBeZEeBoAoxZ9cAAAANoQjAAAAG8IRAMdJcJ3W/mvytf+afCW4Tkd6OACiDOEIAADAhnAEAABgQzgCAACwIRwBAADYEI4AAABsCEcAAAA2fEI2AMdpVidtqB1orQNAOBGOADhO0MTrp/vnR3oYAKIUf3IBAADYEI4AAABsCEcAHCfBdVofZ47Tx5njeHwIgLDjmiMAjtSlUzDSQwAQpZg5AgAAsCEcAQAA2BCOAAAAbAhHAAAANmEPR/Pnz5fL5QpZfD6f9b4xRvPnz5ff71dCQoKGDh2qjz76KGQfwWBQM2fOVGpqqhITE1VQUKBDhw6Fe6gAAAAttMvM0dVXX63Kykpr2bFjh/Xe448/rqeeekqLFy/W1q1b5fP5dOONN+rEiRNWTVFRkVauXKkVK1Zo06ZNOnnypPLz89XU1NQewwXgMM1yqfxkpspPZqpZrkgPB0CUaZdb+WNjY0Nmi84yxmjRokX6+c9/rrFjx0qS/uu//ktpaWl6+eWXNW3aNAUCAT3//PNatmyZRo4cKUl66aWXlJGRofXr12vUqFHtMWQADhI0bt3+l0cjPQwAUapdZo727Nkjv9+v3r176/bbb9df/vIXSdK+fftUVVWl3Nxcq9btdmvIkCEqKyuTJG3btk0NDQ0hNX6/X5mZmVbN+QSDQdXW1oYsAAAArRX2cJSdna0XX3xRb7zxhp577jlVVVVp8ODBOnbsmKqqqiRJaWlpIV+TlpZmvVdVVaX4+Hh17dr1W2vOp7i4WB6Px1oyMjLC3BkAALgYhD0cjR49WuPGjVNWVpZGjhypNWvWSDpz+uwslyv0GgFjTItt5/q+mnnz5ikQCFjLwYMHL6ALAB1Zguu0tl01UduumsjjQwCEXbvfyp+YmKisrCzt2bPHug7p3Bmg6upqazbJ5/Opvr5eNTU131pzPm63W8nJySELgOjVLbZW3WI5fQ4g/No9HAWDQe3atUvp6enq3bu3fD6fSktLrffr6+u1ceNGDR48WJI0YMAAxcXFhdRUVlZq586dVg0AAEB7CfvdanPnztVNN92kHj16qLq6Wr/+9a9VW1urSZMmyeVyqaioSAsWLFCfPn3Up08fLViwQF26dNHEiRMlSR6PR1OmTNGcOXPUrVs3paSkaO7cudZpOgAAgPYU9nB06NAh3XHHHfryyy916aWXatCgQSovL1fPnj0lSffff7/q6up0zz33qKamRtnZ2Vq3bp2SkpKsfSxcuFCxsbEaP3686urqNGLECC1dulQxMTHhHi4AAEAIlzHGRHoQ7aG2tlYej0eBQIDrj4Dv0evBNZEeQqskuE5rV9ZtkqR+O15Vnekc4RH9MPsfHRPpIQAdXkf4/c2z1QAAAGza5ROyAaA9Ncul/3eqj7UOAOFEOALgOEHj1s17F0Z6GACiFKfVAAAAbAhHAAAANoQjAI7T2XVam/7+p9r09z9VZx4fAiDMuOYIgOO4JHWPr7bWASCcmDkCAACwIRwBAADYEI4AAABsCEcAAAA2hCMAAAAb7lYD4DhG0qene1jrABBOhCMAjnPadFbup09HehgAohSn1QAAAGwIRwAAADaEIwCO09l1WuuuvEfrrryHx4cACDuuOQLgOC5JV3Y+YK0DQDgxcwQAAGBDOAIAALAhHAEAANgQjgAAAGwIRwAAADbcrQbAcYykQ/Veax0AwolwBMBxTpvOuv6TFyI9DABRitNqAAAANoQjAAAAG8IRAMdxu4J6/Yp79foV98rtCkZ6OACiDNccAXCcTjLq32WPtQ4A4cTMEQAAgA3hCAAAwIZwBAAAYEM4AgAAsCEcAQAA2HC3GgBHOtaYHOkhAIhShCMAjlNnOmvAxy9HehgAohSn1QAAAGwIRwAAADaEIwCO43YFteLvHtSKv3uQx4cACDuuOQLgOJ1kNOhHO611AAgnZo4AAABsCEcAAAA2hCMAAAAbwhEAAIAN4QgAAMCGu9UAONKpZnekhwAgShGOADhOnemsq3b+KdLDABClOK0GAABgQzgCAACwIRwBcBy3q14v9JqvF3rNl9tVH+nhAIgyXHMEwHE6qVnDk9+31tF+ej24JtJDaLX9j46J9BDgcIQjAPgbcWLQcCKn/jsT6joOTqsBAADYdPiZo6efflr/9m//psrKSl199dVatGiRbrjhhkgPCwCAsHLijFe0znZ16JmjV155RUVFRfr5z3+uDz74QDfccINGjx6tAwcORHpoAAAgSnXomaOnnnpKU6ZM0c9+9jNJ0qJFi/TGG2/omWeeUXFxcYRHB5yfE//6AwD8VYcNR/X19dq2bZsefPDBkO25ubkqKytrUR8MBhUMBq3XgUBAklRbW9su48t85I122S+A79fkOq3aU9+sB0+p2XDHGhAJ7fE79uw+jTFh3/cP1WHD0ZdffqmmpialpaWFbE9LS1NVVVWL+uLiYv3iF79osT0jI6PdxgggcjzW2r9EcBTAxc2zqP32feLECXk8nu8vbAcdNhyd5XK5Ql4bY1psk6R58+Zp9uzZ1uvm5mZ99dVX6tat23nrpTPpNCMjQwcPHlRycnJ4B94BXWz9Shdfz/Qb/S62nuk3+p3bszFGJ06ckN/vj9iYOmw4Sk1NVUxMTItZourq6hazSZLkdrvldoc+pfuSSy75Qd8rOTn5ovlPKF18/UoXX8/0G/0utp7pN/rZe47UjNFZHfZutfj4eA0YMEClpaUh20tLSzV48OAIjQoAAES7DjtzJEmzZ89WYWGhBg4cqJycHP3ud7/TgQMHdPfdd0d6aAAAIEp16HA0YcIEHTt2TL/85S9VWVmpzMxMrV27Vj179gzL/t1utx555JEWp+Oi1cXWr3Tx9Uy/0e9i65l+o19H7NllInmvHAAAQAfTYa85AgAAiATCEQAAgA3hCAAAwIZwBAAAYNOhw1GvXr3kcrlaLNOnT29RO23aNLlcLi1atKjFe5s3b9bw4cOVmJioSy65REOHDlVdXZ31fk1NjQoLC+XxeOTxeFRYWKjjx4+H7OPAgQO66aablJiYqNTUVM2aNUv19fUhNTt27NCQIUOUkJCgyy67TL/85S9b9WyYcPRbVVWlwsJC+Xw+JSYm6tprr9Wrr74aUuOUfidPntzivUGDBoXsIxgMaubMmUpNTVViYqIKCgp06NChDtlvOHr+6quvNHPmTPXt21ddunRRjx49NGvWLOtZgh2t53D8jM8yxmj06NFyuVxatWpVVPfrlGNWuHqOpuOWJO3atUsFBQXyeDxKSkrSoEGDdODAAet9Jx23LrRfpx2zLKYDq66uNpWVldZSWlpqJJm33norpG7lypWmf//+xu/3m4ULF4a8V1ZWZpKTk01xcbHZuXOn+fTTT80f//hHc/r0aasmLy/PZGZmmrKyMlNWVmYyMzNNfn6+9X5jY6PJzMw0w4YNM9u3bzelpaXG7/ebGTNmWDWBQMCkpaWZ22+/3ezYscP86U9/MklJSeaJJ574m/Y7cuRIc91115ktW7aYzz77zPzqV78ynTp1Mtu3b3dcv5MmTTJ5eXkhNceOHQvZx913320uu+wyU1paarZv326GDRtm+vfvbxobGztcv+HoeceOHWbs2LFm9erVZu/evebNN980ffr0MePGjQv5Ph2l53D8jM966qmnzOjRo40ks3Llyqjt10nHrHD1HE3Hrb1795qUlBRz3333me3bt5vPPvvM/PnPfzZHjhyx9uGk49aF9uu0Y9ZZHTocnetf//VfzeWXX26am5utbYcOHTKXXXaZ2blzp+nZs2eLsJCdnW0efvjhb93nxx9/bCSZ8vJya9vmzZuNJPPJJ58YY4xZu3at6dSpk/niiy+smt///vfG7XabQCBgjDHm6aefNh6PJ+QAVlxcbPx+f8h427vfxMRE8+KLL4ZsS0lJMf/5n//puH4nTZpkbr755m+tP378uImLizMrVqywtn3xxRemU6dOpqSkpMP325aez+cPf/iDiY+PNw0NDcaYjt1zW/utqKgw3bt3N5WVlS3CUbT16+RjljFt6zmajlsTJkww//zP//yt9U4/brW23/NxwjGrQ59Ws6uvr9dLL72kn/70p9aDZJubm1VYWKj77rtPV199dYuvqa6u1pYtW+T1ejV48GClpaVpyJAh2rRpk1WzefNmeTweZWdnW9sGDRokj8ejsrIyqyYzMzPkIXijRo1SMBjUtm3brJohQ4aEfIjVqFGjdPjwYe3fv/9v0q8kXX/99XrllVf01Vdfqbm5WStWrFAwGNTQoUMd168kvf322/J6vbryyis1depUVVdXW+9t27ZNDQ0Nys3Ntbb5/X5lZmaG9NIR+21rz+cTCASUnJys2NjYDt1zW/s9deqU7rjjDi1evFg+n6/FfqOpXycfs9rasxQ9x63m5matWbNGV155pUaNGiWv16vs7OyQ08BOPm61pd/zccIxyzHhaNWqVTp+/LgmT55sbXvssccUGxurWbNmnfdr/vKXv0iS5s+fr6lTp6qkpETXXnutRowYoT179kg6c67b6/W2+Fqv12s99LaqqqrFw267du2q+Pj476w5+/rch+e2V7+S9Morr6ixsVHdunWT2+3WtGnTtHLlSl1++eWO63f06NFavny5NmzYoCeffFJbt27V8OHDFQwGre8THx+vrl27thiHfZwdsd+29nyuY8eO6Ve/+pWmTZtmbeuoPbe133vvvVeDBw/WzTfffN79RlO/Tj5mtbVnKXqOW9XV1Tp58qQeffRR5eXlad26dbr11ls1duxYbdy40fo+Tj1utaXfcznlmNWhHx9i9/zzz2v06NFWaty2bZv+/d//Xdu3bw/5C8WuublZ0pmLl3/yk59Ikv7xH/9Rb775pl544QUVFxdL0nm/3hgTsr0tNeabi8C+bXzfpS39StLDDz+smpoarV+/XqmpqVq1apX+6Z/+Se+++66ysrLa3MsPqQlnv9KZx8eclZmZqYEDB6pnz55as2aNxo4d+637CkcvP6TmQvqVLrzn2tpajRkzRldddZUeeeSRkPc6Ys9t6Xf16tXasGGDPvjgg+/cd7T06+RjltT2/9PRctw6+/O7+eabde+990qS/uEf/kFlZWX67W9/qyFDhnzrvpxw3LrQfp10zHLEzNHnn3+u9evX62c/+5m17d1331V1dbV69Oih2NhYxcbG6vPPP9ecOXPUq1cvSVJ6erok6aqrrgrZX79+/awr6X0+n44cOdLiex49etRKnD6fr0XqrKmpUUNDw3fWnJ06PjfJtle/n332mRYvXqwXXnhBI0aMUP/+/fXII49o4MCB+s1vfuOofs8nPT1dPXv2tP6C9vl8qq+vV01NTYtx2MfZ0fqV2t7zWSdOnFBeXp5+9KMfaeXKlYqLi7Pe64g9t7XfDRs26LPPPtMll1xi/b+XpHHjxlmnXKKpX6ces6S29xxNx63U1FTFxsZ+78/PicettvZ7ltOOWY4IR0uWLJHX69WYMWOsbYWFhfrwww9VUVFhLX6/X/fdd5/eeOMNSWduQfT7/dq9e3fI/j799FPr4bU5OTkKBAJ67733rPe3bNmiQCCgwYMHWzU7d+5UZWWlVbNu3Tq53W4NGDDAqnnnnXdCbitct26d/H6/FV7au99Tp05Jkjp1Cv2xxsTEWAnfKf2ez7Fjx3Tw4EHrF8iAAQMUFxen0tJSq6ayslI7d+4M6aWj9XshPUtn/vrKzc1VfHy8Vq9erc6dO4d8TUfsua39Pvjggy3+30vSwoULtWTJkqjr16nHrAvpOZqOW/Hx8bruuuu+8+fn1ONWW/uVnHnM6vB3qzU1NZkePXqYBx544Htrz3f31sKFC01ycrL54x//aPbs2WMefvhh07lzZ7N3716rJi8vz1xzzTVm8+bNZvPmzSYrK+u8txCOGDHCbN++3axfv95079495BbC48ePm7S0NHPHHXeYHTt2mNdee80kJye3+hbCC+m3vr7eXHHFFeaGG24wW7ZsMXv37jVPPPGEcblcZs2aNY7q98SJE2bOnDmmrKzM7Nu3z7z11lsmJyfHXHbZZaa2ttaqu/vuu0337t3N+vXrzfbt283w4cPPe0tsR+n3Qnuura012dnZJisry+zduzfkFtuO2vOF/ozPpW+5lT9a+nXaMetCe46m45Yxxrz22msmLi7O/O53vzN79uwx//Ef/2FiYmLMu+++a9U47bh1If068ZhljANu5X/jjTeMJLN79+7vrT1fODLmzK183bt3N126dDE5OTkh/0mNMebYsWPmzjvvNElJSSYpKcnceeedpqamJqTm888/N2PGjDEJCQkmJSXFzJgxI+R2QWOM+fDDD80NN9xg3G638fl8Zv78+a2+ffBC+/3000/N2LFjjdfrNV26dDHXXHNNi1tkndDvqVOnTG5urrn00ktNXFyc6dGjh5k0aZI5cOBASF1dXZ2ZMWOGSUlJMQkJCSY/P79FTUfq90J7fuutt4yk8y779u3rkD1f6M/4XOcLR9HWr5OOWeHoOVqOW2c9//zz5oorrjCdO3c2/fv3N6tWrQp532nHrQvp14nHLGOMcRnTlo+OBAAAiE6OuOYIAADgb4VwBAAAYEM4AgAAsCEcAQAA2BCOAAAAbAhHAAAANoQjAAAAG8IRAACADeEIAADAhnAEAABgQzgCAACwIRwBAADY/H948kjA9dhEXAAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "checking contiguity of final HDs\n",
      "working on HD 0 out of 5159\n",
      "working on HD 300 out of 5159\n",
      "working on HD 600 out of 5159\n",
      "working on HD 900 out of 5159\n",
      "working on HD 1200 out of 5159\n",
      "working on HD 1500 out of 5159\n",
      "working on HD 1800 out of 5159\n",
      "working on HD 2100 out of 5159\n",
      "working on HD 2400 out of 5159\n",
      "working on HD 2700 out of 5159\n",
      "working on HD 3000 out of 5159\n",
      "working on HD 3300 out of 5159\n",
      "working on HD 3600 out of 5159\n",
      "working on HD 3900 out of 5159\n",
      "working on HD 4200 out of 5159\n",
      "working on HD 4500 out of 5159\n",
      "working on HD 4800 out of 5159\n",
      "working on HD 5100 out of 5159\n",
      "all done checking HD and complement contiguity for all 5159 HDs\n"
     ]
    }
   ],
   "source": [
    "patchedUse, unpUse = [0.]*nUnits, [0.]*nUnits\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        patchedUse[u] += HDweight[t] * nDistricts\n",
    "    for u in unpatchedHDlist[t]:\n",
    "        unpUse[u] += HDweight[t] * nDistricts\n",
    "plt.hist(patchedUse,bins=50, label=\"patched\",histtype=\"step\")\n",
    "plt.hist(unpUse, bins=50, label=\"unpatched\",histtype=\"step\")\n",
    "plt.legend()\n",
    "plt.show()\n",
    "patchedAvg, patchedSD = getWeightedAvgAndSD(patchedUse,unitPop)\n",
    "unpatchedAvg, unpatchedSD = getWeightedAvgAndSD(unpUse,unitPop)\n",
    "print(\"unpatched, patched use avgs are\",r5(unpatchedAvg), r5(patchedAvg),\"and their SDs are\",r5(unpatchedSD), r5(patchedSD) )\n",
    "print(\"And here is the pop distro\")\n",
    "plt.hist([HDvPop[t] for t in popHDlist])\n",
    "plt.axvline(aDP, ls=\"--\",color=\"orange\")\n",
    "plt.show()\n",
    "print(\"checking contiguity of final HDs\")\n",
    "for t in popHDlist:\n",
    "    if t%300 == 0:\n",
    "        print(\"working on HD\",t,\"out of\",nHDs)\n",
    "    unbroken, noEnclave, sList, eList = enclaveCheck(HDunitList[t], unitNbrs)  #these HDunitLists now appear to be sets\n",
    "    if not unbroken or not noEnclave:\n",
    "        print(\"uh-oh, HD\",t,\"has contiguity, complement-contiguity of\",unbroken, noEnclave)\n",
    "print(\"all done checking HD and complement contiguity for all\",nHDs,\"HDs\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 263,
   "id": "ac9cd133-94f0-494b-ac74-0c584482d97e",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Lets write these UNIT lists to a file\n"
     ]
    }
   ],
   "source": [
    "print(\"Lets write these UNIT lists to a file\")\n",
    "HDvPop = [0. for t in range(nHDs)]  #writing UNIT lists to a file\n",
    "tList = [t for t in range(nHDs)]\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        HDvPop[t] += unitPop[u]\n",
    "outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDunitList\":HDunitList,\n",
    "                      \"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "outname = STATE+str(int(nHDs))+\"fullyPatched.csv\" #\"contigUnpatchedB.csv\"\n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "outDF.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 264,
   "id": "344baced-40b9-4469-b334-20caf101716d",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "checking unitUse for county clusters\n",
      "0 3.5 1.0249903913149474 8719.0\n",
      "1 4.5 1.104149743394803 12112.0\n",
      "2 12.5 1.0551821464738445 10526.0\n",
      "3 50.5 1.0924420325136477 9812.0\n",
      "4 55.5 1.0359699348375697 13830.0\n",
      "5 57.5 1.0134776542073662 5940.0\n",
      "6 62.5 1.0463884313790028 12250.0\n",
      "7 65.5 1.0647968735813043 12514.0\n",
      "8 77.5 1.0218800954028004 9737.0\n",
      "9 80.5 0.8920089932571938 7087.0\n",
      "10 85.5 0.9786675406834273 8440.0\n",
      "5210 0.25 0.9371673066559445 238369.0\n",
      "5211 1.25 1.0002247430116806 118146.0\n"
     ]
    }
   ],
   "source": [
    "print(\"checking unitUse for county clusters\")  #below is after 2nd underpass\n",
    "for uNo in allUnits:\n",
    "    if uNo - int(uNo) > 0.01:\n",
    "        u = allUnits.index(uNo)\n",
    "        print(u,uNo,unitUse[u], unitPop[u])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 262,
   "id": "94a535c3-9b02-4375-b76d-fcf2486bcb3e",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "unpatched, patched use avgs are 0.99994 1.00002 and their SDs are 0.10032 0.0599\n",
      "And here is the pop distro\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "checking contiguity of final HDs\n",
      "working on HD 0 out of 5159\n",
      "working on HD 300 out of 5159\n",
      "working on HD 600 out of 5159\n",
      "working on HD 900 out of 5159\n",
      "working on HD 1200 out of 5159\n",
      "working on HD 1500 out of 5159\n",
      "working on HD 1800 out of 5159\n",
      "working on HD 2100 out of 5159\n",
      "working on HD 2400 out of 5159\n",
      "working on HD 2700 out of 5159\n",
      "working on HD 3000 out of 5159\n",
      "working on HD 3300 out of 5159\n",
      "working on HD 3600 out of 5159\n",
      "working on HD 3900 out of 5159\n",
      "working on HD 4200 out of 5159\n",
      "working on HD 4500 out of 5159\n",
      "working on HD 4800 out of 5159\n",
      "working on HD 5100 out of 5159\n",
      "all done checking HD and complement contiguity for all 5159 HDs\n"
     ]
    }
   ],
   "source": [
    "patchedUse, unpUse = [0.]*nUnits, [0.]*nUnits  #BELOW - AFTER SECOND UNDERUSE PASS (18 MORE UNITS, 0.02 aDP)\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        patchedUse[u] += HDweight[t] * nDistricts\n",
    "    for u in unpatchedHDlist[t]:\n",
    "        unpUse[u] += HDweight[t] * nDistricts\n",
    "plt.hist(patchedUse,bins=50, label=\"patched\",histtype=\"step\")\n",
    "plt.hist(unpUse, bins=50, label=\"unpatched\",histtype=\"step\")\n",
    "plt.legend()\n",
    "plt.show()\n",
    "patchedAvg, patchedSD = getWeightedAvgAndSD(patchedUse,unitPop)\n",
    "unpatchedAvg, unpatchedSD = getWeightedAvgAndSD(unpUse,unitPop)\n",
    "print(\"unpatched, patched use avgs are\",r5(unpatchedAvg), r5(patchedAvg),\"and their SDs are\",r5(unpatchedSD), r5(patchedSD) )\n",
    "print(\"And here is the pop distro\")\n",
    "plt.hist([HDvPop[t] for t in popHDlist])\n",
    "plt.axvline(aDP, ls=\"--\",color=\"orange\")\n",
    "plt.show()\n",
    "print(\"checking contiguity of final HDs\")\n",
    "for t in popHDlist:\n",
    "    if t%300 == 0:\n",
    "        print(\"working on HD\",t,\"out of\",nHDs)\n",
    "    unbroken, noEnclave, sList, eList = enclaveCheck(HDunitList[t], unitNbrs)  #these HDunitLists now appear to be sets\n",
    "    if not unbroken or not noEnclave:\n",
    "        print(\"uh-oh, HD\",t,\"has contiguity, complement-contiguity of\",unbroken, noEnclave)\n",
    "print(\"all done checking HD and complement contiguity for all\",nHDs,\"HDs\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 257,
   "id": "ec102553-e4f3-4010-86bc-725a01b95788",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter([v for v in range(len(parentVTDno))],parentVTDno)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "id": "55d64c64-b473-49d0-b863-d4123cbb9b6c",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "for v in range(nVTDs):\n",
    "    if MAP.contains(vtdGeom[v].centroid) and v not in parentVTDno:\n",
    "        print(v,\"is in the map but not in the parent vtd list\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 265,
   "id": "ecd50c96-51ce-4d83-b0df-e8c645c35815",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "after above patching, write these contiguous lists to a file, converting to vtd lists\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 1 if there were NO fragmented VTDs 0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "working on full or partial VTD master list for unit 0\n",
      "working on full or partial VTD master list for unit 2000\n",
      "working on full or partial VTD master list for unit 4000\n",
      "Now converting unit lists to vtd lists for all HDs\n"
     ]
    }
   ],
   "source": [
    "#THIS WORKS FOR BOTH VTD- AND UNIT-BASED (FRAG VTD) -- **NOTE: DOES NOT ADD IN CUT DISTRICTS AND REBALANCE WEIGHTS\n",
    "print(\"after above patching, write these contiguous lists to a file, converting to vtd lists\")\n",
    "noFrag = int(input(\"enter 1 if there were NO fragmented VTDs\"))  #for simple states where units are at least whole vtd's\n",
    "tList = [t for t in range(nHDs)]\n",
    "vtdList = [list() for t in range(nHDs)]\n",
    "unitVTDlist, unitFragVTDlist, unitVTDfrac = [list() for u in range(nUnits)], [list() for u in range(nUnits)], [list() for u in range(nUnits)]\n",
    "unitFullVTDlist, unitPartialVTDlist =       [list() for u in range(nUnits)], [list() for u in range(nUnits)]\n",
    "\n",
    "for u in range(nUnits):\n",
    "    if u %2000 == 0:\n",
    "        print(\"working on full or partial VTD master list for unit\",u)\n",
    "    if allUnits[u] % 1 == 0.5 :\n",
    "        c = int(allUnits[u])\n",
    "        unitVTDlist[u] = countyTractList[c].copy()\n",
    "        unitFullVTDlist[u] = countyTractList[c].copy()\n",
    "    if allUnits[u] % 1 == 0.25 :\n",
    "        CCBnumber = int(allUnits[u])\n",
    "        for c in CCBlist[CCBnumber] :\n",
    "            unitVTDlist[u] += countyTractList[c]\n",
    "            unitFullVTDlist[u] += countyTractList[c]\n",
    "    if allUnits[u] % 1 == 0:\n",
    "        if noFrag == 1:\n",
    "            unitVTDlist[u].append(allUnits[u] )\n",
    "            for i,vv in enumerate(surrounders):\n",
    "                if allUnits[u] == vv:\n",
    "                    unitVTDlist[u].append(surroundedVTDs[i])\n",
    "        else:\n",
    "            unitFragVTDlist[u].append(allUnits[u])\n",
    "            for i,vv in enumerate(surrounders):\n",
    "                if allUnits[u] == vv:\n",
    "                    unitFragVTDlist[u].append(surroundedVTDs[i])\n",
    "            vtdFrac = [0. for V in range(nVTDs)]\n",
    "            for vv in unitFragVTDlist[u]:\n",
    "                V = parentVTDno[vv]\n",
    "                if len(VTDchildren[V]) == 1:  #nonfragmented vtd\n",
    "                    vtdFrac[V] = 1.\n",
    "                else:\n",
    "                    if tractPop[V] > 0:\n",
    "                        vtdFrac[V] += fragVTDgeom[vv].area / vtdGeom[V].area #fragVTDpop[uu] / tractPop[v]  #we overwrote the frag pops earlier; can't use\n",
    "            for v in range(nVTDs):\n",
    "                if vtdFrac[v] > 0.0001:\n",
    "                    if vtdFrac[v] > 0.999:\n",
    "                        unitFullVTDlist[u].append(v)\n",
    "                    else:\n",
    "                        unitPartialVTDlist[u].append(v)\n",
    "                        unitVTDfrac[u].append(vtdFrac[v] )\n",
    "                                    \n",
    "HDpartialVTDlist, HDfullVTDlist, HDvtdFrac = [list() for t in range(nHDs)] ,[list() for t in range(nHDs)],[list() for t in range(nHDs)]               \n",
    "print(\"Now converting unit lists to vtd lists for all HDs\")\n",
    "if noFrag == 1:\n",
    "    for t in popHDlist:\n",
    "        for u in HDunitList[t]:\n",
    "            vtdList[t] += unitVTDlist[u]\n",
    "    outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDvtdList\":vtdList,\"partials\":HDpartialVTDlist,\n",
    "                           \"HDvtdFrac\":HDvtdFrac,\"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "else:\n",
    "    for t in popHDlist:\n",
    "        partialList, partialFrac = list(), list()  #for many HDs, we'll recover whole VTDs when aggregating units\n",
    "        for u in HDunitList[t]:\n",
    "            HDfullVTDlist[t] +=   unitFullVTDlist[u] \n",
    "            partialList +=         unitPartialVTDlist[u]\n",
    "            partialFrac +=          unitVTDfrac[u]\n",
    "        partialSet = set(partialList)  #non-duplicated set of partials across the HD, prepping to aggregate where possible\n",
    "        partialSetFrac, partialSetList = [0. for v in partialSet], list(partialSet)\n",
    "        for i,v in enumerate(partialList):\n",
    "            partialSetFrac[partialSetList.index(v)] += partialFrac[i]\n",
    "        for i,v in enumerate(partialSetList):\n",
    "            if partialSetFrac[i] > 0.999:  #the district has all the fragments of the original VTD contained in the HD's units\n",
    "                HDfullVTDlist[t].append(v)\n",
    "            else:\n",
    "                HDpartialVTDlist[t].append(v)\n",
    "                HDvtdFrac[t].append(      r5(partialSetFrac[i]) )  #save the aggregated fraction of this VTD across all units\n",
    "    outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDvtdList\":HDfullVTDlist,\"partials\":HDpartialVTDlist,\n",
    "                           \"HDvtdFrac\":HDvtdFrac,\"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "outname = STATE+str(int(nHDs))+\"patchedVTDs.csv\"   #patchDown, PatchUp, PatchBoth\n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "outDF.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 180,
   "id": "5075814f-4a75-4807-ad8d-b3cc969cb470",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "7211 7213 7211 7211 7211 7211\n"
     ]
    }
   ],
   "source": [
    "\n",
    "HDweight = HDweight[0:nHDs]\n",
    "HDvPop = HDvPop[0:nHDs]\n",
    "HDweight = HDweight[0:nHDs]\n",
    "HDfullVTDlist = HDfullVTDlist[0:nHDs]\n",
    "HDpartialVTDlist = HDpartialVTDlist[0:nHDs]\n",
    "HDvtdFrac = HDvtdFrac[0:nHDs]\n",
    "hdCPx, hdCPy = hdCPx[0:nHDs], hdCPy[0:nHDs]\n",
    "print(nHDs,len(tList), len(HDweight), len(HDvPop), len(HDvtdFrac), len(hdCPx) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 266,
   "id": "e385f357-5b7e-46f5-b054-c5c38d799395",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0\n",
      "0.9999999999997781 5159\n"
     ]
    }
   ],
   "source": [
    "print(len(allCutLists))\n",
    "print(np.sum(HDweight), nHDs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "id": "8d922813-2854-41d7-9405-22db5d5d5a59",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now append the cut districts and adjust the HDweights\n",
      "14 0 are the number of HD-drawn and cut districts\n"
     ]
    }
   ],
   "source": [
    "print(\"Now append the cut districts and adjust the HDweights\")  #n/a for IN - no cut districts\n",
    "print(nDistricts,nCutDistricts,\"are the number of HD-drawn and cut districts\")\n",
    "HDweight = [nDistricts/float(nCutDistricts + nDistricts) * HDweight[t] for t in range(nHDs)]\n",
    "tList = [t for t in range(nHDs)]\n",
    "if type(hdCPx) != type(list()):\n",
    "    hdCPx, hdCPy = hdCPx.to_list(), hdCPy.to_list()\n",
    "for L in allCutLists:\n",
    "    tList.append(len(tList))\n",
    "    HDweight.append(1./(nCutDistricts + nDistricts))\n",
    "    pop = np.sum([tractPop[v] for v in L])\n",
    "    HDvPop.append(pop )\n",
    "    HDfullVTDlist.append(L)\n",
    "    HDpartialVTDlist.append(list() )\n",
    "    HDvtdFrac.append(list() )\n",
    "    hdCPx.append(np.sum([tractPop[v]*tractCPx[v] for v in L]) / pop )\n",
    "    hdCPy.append(np.sum([tractPop[v]*tractCPy[v] for v in L]) / pop )\n",
    "    \n",
    "\n",
    "outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDvtdList\":HDfullVTDlist,\"partials\":HDpartialVTDlist,\n",
    "                        \"HDvtdFrac\":HDvtdFrac,\"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "outname = STATE+str(int(nHDs))+\"patchedWithCutsVTDs.csv\"   #patchDown, PatchUp, PatchBoth\n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "outDF.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "id": "b0b611f7-6c35-495d-b38c-c848317d63ab",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.999999999999884\n"
     ]
    }
   ],
   "source": [
    "print(np.sum(HDweight))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 288,
   "id": "b9d808de-119f-4197-8e0c-8407c105d789",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "vtdUSE = [0. for v in range(nVTDs)]\n",
    "for u in range(nUnits):\n",
    "    for v in unitFullVTDlist[u]:\n",
    "        vtdUSE[v] += 1\n",
    "    for i,v in enumerate(unitPartialVTDlist[u]):\n",
    "        vtdUSE[v] += unitVTDfrac[u][i]\n",
    "\n",
    "plt.scatter([v for v in range(nVTDs)], vtdUSE)\n",
    "plt.show()\n",
    "unused = list()\n",
    "for v in range(nVTDs):\n",
    "    if vtdUSE[v] < 0.2 and MAP.contains(vtdGeom[v].centroid) and tractPop[v] > 0:\n",
    "        unused.append(v)\n",
    "        #print(v,\"in county\",countyNo[v],\"has pop\",tractPop[v],\"and map-total usage of\",vtdUSE[v],\"its surroundedness is\",v in surroundedVTDs)\n",
    "        plotPoly(vtdGeom[v].centroid.buffer(0.1))\n",
    "        plotCenter(v,vtdGeom[v],8)\n",
    "    #if vtdUSE[v] > 0.2 and vtdUSE[v] < 0.95:\n",
    "    #    plotCenter(r3(vtdUSE[v]),vtdGeom[v])\n",
    "plotPoly(MAP)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 267,
   "id": "404935e6-f0de-4b51-9db9-020aa208f852",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "integrity check: vtd-based pops\n",
      "x = n surrounded, y= unit - vtd-based\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"integrity check: vtd-based pops\")\n",
    "HDvtdbasedPop = [0. for t in range(nHDs)]\n",
    "HDvPop = [0. for t in range(nHDs)]\n",
    "nSurrs = [0. for t in range(nHDs)]\n",
    "for t in range(nHDs):\n",
    "    for u in HDunitList[t]:\n",
    "        HDvPop[t] += unitPop[u]\n",
    "        if u in surroundedVTDs:\n",
    "            nSurrs[t] += 1\n",
    "    for v in HDfullVTDlist[t]:\n",
    "        HDvtdbasedPop[t] += origVTDpop[v] #tractPop[v]\n",
    "    for i,v in enumerate(HDpartialVTDlist[t]):\n",
    "        HDvtdbasedPop[t] += HDvtdFrac[t][i] * origVTDpop[v] #tractPop[v] also works\n",
    "        \n",
    "plt.scatter([nSurrs[t] for t in popHDlist], [HDvPop[t] - HDvtdbasedPop[t] for t in popHDlist] )\n",
    "print(\"x = n surrounded, y= unit - vtd-based\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ef27af54-daf5-4e8f-9230-bce5b0b1e705",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 283,
   "id": "3ad3342b-b8e3-46f5-a3e5-f49df386b88f",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now, read in the votes by vtd to compute ensemble vote margin vs. true state vote margin\n",
      "Let's read in the 2020 and 2016 voting data for IN\n",
      "In year/election 2020 Dem and GOP total votes were 1242499 1729857 for a stateGOP of 0.58198\n",
      "There are a total of 5159  vote-mapped voting districts from election(s) in year  2020\n",
      "In year/election 2016 Dem and GOP total votes were 1033154 1557242 for a stateGOP of 0.60116\n",
      "There are a total of 5159  vote-mapped voting districts from election(s) in year  2016\n"
     ]
    }
   ],
   "source": [
    "print(\"Now, read in the votes by vtd to compute ensemble vote margin vs. true state vote margin\")\n",
    "#note: we started w possibility of separate election --> 2020 vtd files by year.  Now we use ALARM combined 2016+2020 --> 2020 csv's for all exc CA\n",
    "# copied from \"HDpartisanAnalysis\"\n",
    "print(\"Let's read in the 2020 and 2016 voting data for\",STATE)\n",
    "#DemCandidates, RepCandidates, vestDFs = [\"G16PREDCLI\"], [\"G16PRERTRU\" ], list()\n",
    "#DemCandidates, RepCandidates, vestDFs = [\"G20PREDBID\", \"G16PREDCli\"], [\"G20PRERTRU\" ,\"G16PRERTru\" ], list()\n",
    "DemCandidates, RepCandidates, vestDFs = [\"pre_20_dem_bid\", \"pre_16_dem_cli\"], [\"pre_20_rep_tru\" ,\"pre_16_rep_tru\" ], list()\n",
    "nYears = 2\n",
    "unitIDs, vestReps,vestDems,yearLean = [list()]*nYears, [0]*nYears, [0]*nYears, [0.5]*nYears\n",
    "years = [str(2020),str(2016)]\n",
    "DemVotes, RepVotes = [list() for y in years], [list() for y in years]\n",
    "vestDir = \"./state_map_files/\" + STATE.lower()\n",
    "vestDF = pd.read_csv(vestDir + \"_2020_vtd.csv\")\n",
    "mergedDF = vestDF.copy() #pd.merge(mergedDF,vestDF, on = \"GEOID20\")\n",
    "for y,year in enumerate(years):\n",
    "    DemVotes[y], RepVotes[y], unitIDs[y] = mergedDF[DemCandidates[y]], mergedDF[RepCandidates[y]], vestDF[(\"GEOID20\")]\n",
    "    vestDems[y], vestReps[y] = np.sum(DemVotes[y]), np.sum(RepVotes[y])\n",
    "    yearLean[y] = vestReps[y]/float(vestDems[y]+vestReps[y])\n",
    "    print(\"In year/election\",year,\"Dem and GOP total votes were\",int(vestDems[y]),int(vestReps[y]),\"for a stateGOP of\",r5(yearLean[y]) )\n",
    "    nVTDs = len(DemVotes[y])\n",
    "    print(\"There are a total of\",nVTDs,\" vote-mapped voting districts from election(s) in year \",years[y])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f628069d-4177-401e-bf49-b7f194d0ef8b",
   "metadata": {},
   "outputs": [],
   "source": [
    "#IN stuck below 3/17"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 284,
   "id": "5cf73783-4a48-4a3f-a2e3-c1b9ff32c859",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now let's read in our ensemble of HD districts for IN\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter the filename with the vtd assignments to districts; e.g. MO1654contigPatchBoth.csv IN5159patchedVTDs.csv\n",
      "enter the number of HD-drawn districts in the state; e.g. 8 9\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "This ensemble or enacted map describes 5159 drawn districts.  This state has 9 districts per map\n",
      "converting vtd list strings to vtd lists by drawn district ...\n",
      "the total weight across all rows should be 1.000, actually is 1.0\n",
      "I am assuming we already read in a 'tractPopFile' of Census vtd geoms & pops with a GEOID20 column\n",
      "translating from HD order of precinct rows to VEST order\n"
     ]
    }
   ],
   "source": [
    "print(\"Now let's read in our ensemble of HD districts for\",STATE)\n",
    "infilename = input(\"enter the filename with the vtd assignments to districts; e.g. MO1654contigPatchBoth.csv\")\n",
    "\n",
    "HDdf = pd.read_csv(\"2024state_HD_output/\"+infilename)\n",
    "nRows = len(HDdf)\n",
    "nStateDistricts = int(input(\"enter the number of HD-drawn districts in the state; e.g. 8\"))\n",
    "print(\"This ensemble or enacted map describes\",nRows,\"drawn districts.  This state has\",nStateDistricts,\"districts per map\")\n",
    "\n",
    "HDvPop = HDdf[\"HDvPop\"].to_list()\n",
    "HDweight = HDdf['HDweight'].to_list()\n",
    "#tractPop = HDdf['tractPop'].to_list()\n",
    "#statePop = np.sum(tractPop)\n",
    "tractCPx = HDdf['centroid x'].to_list()\n",
    "tractCPy = HDdf['centroid y'].to_list()\n",
    "HDvtdListString = HDdf[\"HDvtdList\"]\n",
    "print(\"converting vtd list strings to vtd lists by drawn district ...\")\n",
    "HDvtdList = [list() for t in range(nRows) ]\n",
    "for t in range(nRows):\n",
    "    if HDvtdListString[t] != \"[]\":\n",
    "        HDvtdList[t] = ast.literal_eval(HDvtdListString[t])\n",
    "\n",
    "if \"partials\" in HDdf.columns.values: #\"splitTractNo\" #.to_list():\n",
    "    splitTractList, splitTractUseList = HDdf['partials'], HDdf['HDvtdFrac']\n",
    "    splitTractNo = [ast.literal_eval(splitTractList[t])    for t in range(nRows)]\n",
    "    splitTractUse = [ast.literal_eval(splitTractUseList[t]) for t in range(nRows)]\n",
    "else :  #incoming file didn't use any partial units, only whole ones\n",
    "    splitTractNo, splitTractUse = [[] for t in range(nRows)] , [ [] for t in range(nRows)]\n",
    "\n",
    "print(\"the total weight across all rows should be 1.000, actually is\",r5(np.sum(HDweight)) )\n",
    "print(\"I am assuming we already read in a 'tractPopFile' of Census vtd geoms & pops with a GEOID20 column\")\n",
    "censusGEOID20 = list()\n",
    "for i, geoid in enumerate(tractPopFile['GEOID20']) :\n",
    "    censusGEOID20.append(str(geoid))\n",
    "#censusGEOID20 = [ str(tractPopFile['GEOID20'][i]) for i in len(tractPopFile['GEOID20']) ]\n",
    "mergedGEOID20 = list()\n",
    "for i, geoid in enumerate(mergedDF['GEOID20']) :\n",
    "    mergedGEOID20.append(str(geoid))\n",
    "#mergedGEOID20 = [ str(mergedDF['GEOID20'][i])     for i in len(mergedDF['GEOID20']) ]\n",
    "\n",
    "miniHDdf = pd.DataFrame( {\"GEOID20\":censusGEOID20} )\n",
    "vestNo = [v for v in range(nVTDs)]\n",
    "print(\"translating from HD order of precinct rows to VEST order\")\n",
    "miniVestDF = pd.DataFrame( {\"GEOID20\":mergedGEOID20, \"vestNo\":vestNo} )\n",
    "mappingDF = pd.merge(miniHDdf,miniVestDF,on=\"GEOID20\")\n",
    "vestID = mappingDF['vestNo']  #this maps each named unit in a HDVL to the correct vestNo row with voting data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 285,
   "id": "540c6d1d-7728-48bf-90f0-f124b25ac7c2",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "sanity check - Dem-leaning vtds for year 2020\n"
     ]
    },
    {
     "data": {
      "image/png": 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o5+kXhMl2GREOrrAdK26Mkmd8OaEsEjzEgXNBNHOi8XqwI4ImrWRo/U2r76Er9FsAFo3aLwb08di43ZBPnSdcuIaQJ4i/7jIhwxW/hfg5SBmpWKpmbzf0WpIUWJJcMwIrPsh//uw0QsYgKT3l+OQhdawKCMgydHRoaJqAz6cRCCQaOcZikJ09/q/+tRQmxotqOh3G04yMLu/s1LcNaYiGlrp++bMArlN7ULy9AFQ/t5psW4CW0EKK52eQ5lrC1s+t4/KPH6T3hYfpWTCPiq7TyP0fJCvNSE9AIcXqQ1ZFfJEUDMYoimJE1gRESQMRImoMX1CgqaMIb9DJmRMHWbF6E0J3DVx6AoxXDNquRrgrcakoeHI//m7dTqW+M4XvPVXBuzY8wR/Nd417PQQEQnUuVi7UJ5O55gJiZw8Nb72SO8Qy7Dm52CWR/qjMh4pyWGC3YvY20+yRhmsIg+fobb8wPMD3uRpxBc9yyKcgqxFURUYVRRRVwWZKAQTcHa3cVbiCRxsGMZnsPPl8CuasfswZqSgeO7YUF/19Q0apk80uM0FvIzszRsOjT+ONnic3P4PB1LO0H2vAXKRPOnLAiT3NS0DZjM2g0b7vZRRFI6sgk5S8Mu78z//imQc/Sev+X4J2F7FYOUF/CqoqAhqqps95kah+v2+86Qh7XthGedUybrhvDQ31ryA7w6SllQ73LBY/Tam0gNGLfrFxVAIvzd/K7RaH7nkliPG/ICCCIPJPe1tp7A3znfluQh0nCOdVUrR2O6IgggB1/UWUVpWP1BfjbyCCgChOvgwX7QkQ6w6QsmwCg+Flt05aP3TwHMWLSrFmjhiaDtbXEuzpIWfbDqYytz33+BMs3TE7g2Odk9y+o2JWNY+/ImDZMSehbLuyA2fdy8j+IIUr7xz2hqsNvEDl0vUYDPoz1RaJULBlJ8IU13c0Idf3sN719in38x+YxeB4jUgKLEmuKSniFvrbA7jD1lGlQz8qjVhseFpCVYe0kwKapqFpKvv2aaSkGJBlPZLoldTW6ka7qqprZ2KxsTYxo/cdEnKGhIqexlvIKB6JnTGREDIejz+ux/X4xjcSg4QNlX/lK7Bli8afHlIJ9Ndz/FQhKxb2cffNfTz0p3VYc/QJZaUfnv1TK1+8u4wLvwRjXK6TDCKb//QADfd/Cv9APf/yhfWI9l7+/Z+L8AbMVJYEcfo9BPwims1Mak4b4dRc3v2NCyiqTO+5NnaYdPfUi7UBzu37X+ZZ+kldsARVSxm+BwCkl8O+R4bPrbktlV899kGeOKS7DqfXgvk8lO9aT2bnReauX05+xciEOMTxmMC6LUPLOZMv6xx8tY4tg2H8gKhBuzfKH091IBoEvryqbNTkNvY4tU9/nwW5K0CIT4a2bMge8ZJwpp/EYDJTtb2Y4w1NPFStsW2Xn6Ahxrln0pEjuUiiMOxtJQkKiqZr/wRBjXsEzUyIMUlRBFFCjcXI27Gdk/vaqW/3E+mw4lHaWSiEyclbjGYrx3OukUv9x1FECTF9IfmFJfh6u2ivPoH1337HyS3XQb4Z6fow9g4Fu9lFT382mgZifNJSZAkEaL68EqOk0NF3iZcvvkx7zyk2zvsSBSVLpujx+NgwUpA3/qR7stNNhj2Nb1qbSC9ahqv2GZa875uJO5k9GCwTazEmQ7RIaFdhuCqZDCjhRPsbg8WKPLT+9WZmnFUZUZLIW3QjfXWvEvN5MTnS6O29hCtYwyvPmHCkpbNhxwoEUUSTFQTTTOyy/jKWgUaTFFiSXDNqa/vpbi5GCJv41a+NvPe9Q9rQiX4oiepXWRYJhwV27oQLF/RYI+XlesZhqxX27YO3v13PlZOfry8rlZToOXMOHhyJAtvQoLc6pEmprYWPfES3ncm+Iv/LRELIkLDz9rePtNnQAKvjL2Pr1un7Rtoa+fI/poNB5dh+P2ZjNgF/CqcvzsfjEznXkMaqZdqwsAJw113w4/+zsWuX7jU1fDUcaWiCwLyP/5Sg00njn/+MqPr5z4+6KSpxMPeuTaiqSsztx5zp4M+/f5aGXBF10M51FUu4oB4mDZW0tDzWrFlGRuHNtJxvoO14Ncvfso2MgonfN0214Ppez/D1zs/XBcbdu3XV8OEHnh5XYJkuqqpSHlTJt5vR4hp0DYEPrCxmjsM6ZX0RBWJhdPcgBc+hx/Bkj6zxD/T3U7hmKc9V1xCORAjmpPPkmUzy39mE9twcImEDZoNMDF0wMVkVlJhKTDaQ5Qgw4LWiaRIzEVrKHB56I+kossYzv3qcloVzKJkrYirM51O+43DdvxJ66Y/09h8nlB4mdc5K/IODyL5W0nLMZM7Jp2zTXWjAUuNxivPvwHRDB788CI4+M6IQJhwTSLULeAfCxIxGohEjtqxeCvpLEd15qMH15GVtInjcTVPjBQCc/f1EcvXziETcOBwNCOZUnqwJc/BPb+Hj/34i4Tz2tnUzEEm8B+d79yOa+whFoVIwcS58iZQOA1re7ISiiRAtBtSrEFhEsxE5nOgJJFmtKJHwNFu4ukn8WpmCGM1pxCJulJBCzbnvsGH919j//EXamjrZsGMFokFCVWREprYtG+FaG/S89iQFliTXjHeVZHLW6GLQX8h73jMdyV/jSu86Wdbo6QG3WyAU0kPPf/rTuku0osBtt+n7tbfreV66uiAlRY84+n//pw8gN90E587pwsWQcNLWpu+TZZITBpmGBn1yfv/74bOf1YWQWMCN+3I9MWU1x6q76e0t4sxpL3/8o0ggLJBRdZJnHyvgUo+Nj327FWuWjMddQU1dDgMDervRmC5weTxjz9pggG984Rwb7t6ZUC5gw/Xgc4jxteWi9HI0RWbeW1djKtKFDVEUMWc6CPuDpA9qfPqt92C2mHi27iyH09J5560fo9/VQXf9WRrOvIq3tYEN7/osF/eeIhqOsvz263Ckp8avdaJ2acBtHg4z/7WvjWi4nr7j3Sz52r9NcAenRzSi0Nvtx3m+X78GkoBBEskudsA0BJaQtQDmjcTPGTxUjcMhYq9cwODJQ2RLnRio5NO7ttPj81Oa1cj3vpRC7zcXcPvqQ2DM4/f/doom30tc/4H/xRu0YzOFMVhj2KxRXH4TmjKxx1R+up8Bv4WdOw5QfWYhSwvD7HznXo49X8ihs8uJeneT5ltMgfUuJKmQI8pCTI/9H6aQE1UN4g4P4khTWLZ6F7UvPY0hz8HApQOs+PB/AvDEn7ow2vvo643wqf8YwNnjw+QM8+7zv8dQlkVvTyeGu9/C139yN0fPpWKd7yPPlEooNx2PX6BkdQEV5Xo8kMFXdmNNM6KoMbKyUliw4JP4wz0sG7hIR3Y5S1PLh0ML7N4N/dqzfGxNonYsIt9H62A/MTXG7uo9aOnreVgO8rfXvWuad3yamESIXYWLrSjRVtOIajWRWaB7xRgsVpTwdDUsVzeJTxTSaDr0N1XTGnWOu0CpKhFC2dUggezLobu7mYFgB5ZwEeeONZIlSWhyDJj6t/OXTFJgSXLNkMwSrc39aMw+kqyqQntLhH6XHlfE6xF42z0aiqILQKKo/1MUYTg0uj9u5+nz6UJMfb0uuOzfr5fddpvurVRWBn/41ot88kcf5NJFqHngMHsenE9FvosgEs//zslLzy1lx7YIpy+uJCYLmE2FRCIap7tbyS+eT91FE1//zA4KS8MYYy6qCnbiym3jwgVQYgqaptsADA6C2az/u5L2Sy34Xe6x1y+/nIwN+UiWkbcmxeen7wd/JGXTSgRR1NesRZH+xmZKdm7FatPXtG9fuJK2QTeCIJCTVULOxhKau9tx1v0R3x9+wOL8fBRVpuNLT7Cnai2L73gb/lPZVFZCbb3Knhegv8+G0QLXX69hMfWjaVmAiLRhM9Xf+ylFP/1vjOZEN9HpDtgWq5EvfWht/B6ryLKKIqu8eqidsvKMSevWnXwFe16iEW75B/8Z9/mTeC43krXjTvzdtYT6O3A5+zBpGjfNyeeGP4RB01C1Kg6+/DEudeQzf8vf01zTSUxQuO8jc3A2BijX+sjIHuRy8zyCgaEhcsTYUhQ0cqoCRBplSu/5Cilld3Do2Q/hf+qdDAYiKGaR6nnvwyzBR3bcEF/aujGhv4cOvYKj+RTnWhtpN6v0RNx4UsKsiG9fnpvP9jU7afZcpjwzBTTo9wcIZlYgzV3CnG15OB97kC9kP07dF+diX3wbj3fWcEfpLTQ5/UQDI8siC1feyEDLMQySmVgYdmxpJqalkllcRjjUxsvVl2nqWErfCRtPHH2ZcJcHrghwbDYYqcopAODti27gV9VP4jCl4Ay4qcjMm95NnwZT2bhMRdRqoLbDSXVjC5qioIfoUVlYMLm7/puBWEEaZbckXvjnHnsENA2jwYDSk040HKanO4NIrJF582Kcf95F1fKtuE736uf7V05SYElyzejo+i3R8HYUWUA3tJ35YCSJGr1OI0YjRKJDNgYw9C4/FPzqynd7g6QR8Gu4ZRGrScZoUJFEFUk0Q9BDNOqgtVnl3Z/YScTkBi2Nf/jleup7jTT0pDPgEvFSSWYuVC6xc6Raw2CASERAUTS+9OGFiKJMTAtx+//1I5+p4cf37mLPMwo/+kEqm5a3EhBinDxehapILF+uJyQcElhUVUOOKshRlcvHz7Lmtu1jzl0QBVSFBCNJKdVO3uc/gNzrQlNUNFUBRSXcHyM9Y2yETU3TON9YT2NTJ3k5mVz/gQ/Q+MJBTEuXkLVwHqnvjHHmC39D3WMunr38d8R8RgakCB/8Bnzzg1a0cIwb7vwsz3/3nUTDGwAbxWuWY7v9+jHCyti7MD1EUcRkEsEERmlqiSfiH2T+mp1jytOXrCE82EHfq/dDNEjYP0CfnI6AEDf61A2DBQEs5nfidLYh/uD75EfcNN5Zwb9/ZwuD//M7HGIVBwxpGK/P4lu/fi8uv003eI3Hjckp8BOd9ySZyg7yGt9CcH4RG1yp+DwSq1ZaCARgUflOpEmMTAVBZMt7vgDAhnjZxbpU9h/9DoJk4GIok+3Au9aX0OUOc9vSfB7UfMx/36dAg+oXj5Fy5zvx1lVTYTNx6oWXuS9FYPerAgvKF5Kpjbix2jIKsWXcDejhAyqL2rj/wQLWrSvg0iW4eKoUv1/XLM5Pv5PvfqWfz76VCVlbUsHaks9MeZ/eCKwZZpbumMvCJcsTyo89/tM3qEdXxy/FVCIWGzYRJFXFYBcpLq7CaYqwrMQBG07w/O5/Jd0ikLEgH5hc2E8kacOSJMkwvogdvEN2EtMVVkYmLFEEUdIwGSEU1j0kDKKCrI64PCYEsBqF2aJrXEBDVkWiYQlV1e0kfDELoqhbTVzsKyQYM6Gp0N0us2GRh+KCCE++ks2OHRJmM/zjP+qBleQYEM8n87nPOHnggQL6+wLcYi7lE/eHWWr6EfbaI0QDP+XMuRyWzOnAYpSJABcuxEhPF4hEzIR8Cqee3odoFJEMIkt3riM9f6ywoQssY9XjotmIqTTxrbazMUJVTkpC2WBHmD37DlBaks+dN1w37GGw+F138+r9v6fpx79m+epcqtZtpNObg11ooOn8Mnatv0zHy+2YM3YQ89l54fGfI2e3orXr7S69cTNHHnyGucuqxvb5asfAKYwAFEUh1Nc48j3iIdj4OGrICYDPGyBWtJY5Syf3JrFYbZhXrSG8ZA4FW+6h5uj/YHC2c3ShhTtDHt7vrWMwaqZnRxm7D29GKHJjEa10Xcxg0Xw7If8OCsqKuOf9d1OQm0XeFxLf4L/9QozP3zizfDyL5t81/Lnm8KsAZNstZNt1rZlokDDGA5+tvUMP0+4OtbPhxltx/eFhLJqN9AseBl2HyG9QCK0rxrx+PaJtxAC2oQGWL5V5/HF9Cchk0pdQx1uqnDWahjb03E50O8eUjxTEIjEigTDD7yXaKOu2oc9DnsEI8RxOerkxoOHrOU1PRiReru9o7mkmeuFw4vM15GatacMN+rsbaLp0YdLTU1WQDOOHu2/r9rC/3okg6MbRoqDnuRrvr75dGN63o7+dI4efiZ+kgCCI/EO+APiHPa5kReXRxmaigV4OH+2gcP5yMhevx33+NOFTx5Ay2tA0RV8vV1VQ5dFvdaOutYDa3cHgowdAg2cdBjImiKlXajTy2loqzZ6kwJLkmvGbFwaxWFvQtMIZ1BoZUPTfmTDsSSQJ+g+5am4d9Y3z0eNDjN9KIDDSnqYJqPFgWwADg/oEoEkiMUXFZtUoKwOvz8qxSxYsuQIGKzz2GJw5o9t2gIDBIKNpRmQVHnmkELcb0DTq+jqpNzqp8xWQb/8U77/5NA+/uhLNJeoeHZpAVpaZ3t4whYUxbGaVPKuMO+zmnBKlq1lFam7ipm2JSdk8wR6cT1djS5sgjP6oeA7Bi+d5SlmQkARwjq+WOZXzwOOl9kxigrz8NRk4qpbzUu0hasUFrFhmp0Cr5sgzVfzuT3O5YdkAUljF6gjx0f9qpPrrAxRZDLge3AeaRqg3zJFnLyNZEoeQyGAI7yttevcGOjDnhCYOaTEeAzIwNuaKJ+DmZONZBvsH2Ghoxnv6O/r5G6xYK27HmKqnpzYHfdTs/yU+tzOhfm/YT680D7vRigAMDA6yftlyHuno5tVndrMydJZFAxHS86y0Vq2jq+0JSrZ8A+uZfrLdKjYlj8xyH5sXSzzwW5GfHG/gY+uqgMoxfQUwGyYX0C3VlzneVzfhdqm6nz95dHXc0OWK+L0cerYtYb+gx83xxx8mxaJitgtYhBgFYjaXbBfoPXsW4eLDmAsLkTRI9aWTP7CLw/USTfUXOXZkHrIMFWu7aWsroqND4ytfaSUWivDA3s5J+z+U7HLoeRttTN8QUVHPdo/sPNE64aji0Y/EyXAbN58L68cQBBC0+Bwe/w0LIw+SFm9+OOZKLEi2v5FYtAwBAS2+79wN14MSN8YdnTsg7oo91E+70YtkmNxwte7AaZbsGKsRBbAqmZgkEVXTUDWNmAqapsZd0XWX9KFtWvzz0N/mXLh72cp4zJv4aKWqcY/JuC+7Bp+aO08vU3VBS9M0QqKEP3MOqXnFCJIEkgiiIf7ZAKIwxuXZtOMuhl5xsmu6uGnZ+OP0qwPeSa/H60lSYElyzfiwmML37ZlogviaaB9Fg4aqCHFhBRLjZ0wWS0MFTUQU9LwpoqAhKwJyDMx2hdzyEFVVPo6cMDO/sA1XayrtbZX09cRAM8bbFYjFDAydyE03nOV//28JUcXMv33HSWZqHoPGNnIXFbLa/TSnj6URSink7nmXefFiOZlp/axfEiYUC/Dzb75MzvIvkOpqROo9y+KF23jipVfYs/9AQq+93T1s3rqW4oryKa9NxpIyuuovsfyGkeiv+16qpi4zAwFYmTWP0tSxsS3SszNp9R3naW8PWkoaf/Mv+9j7m+s42beaBVU9NDRW8a2PlJNjs5E/t5jM+/QAdGMXZMYSfvUylh27prHnCMZXXxj+rCgKB2tPMhjwYTYY2LRgPWnLrMDE6xUWWyrrbv4MITnGb5qOUxB/a3SGA9xWspqCFF2Tda67l5isUFi2jlVBD7aUD9Hq2MeO+esBAZf5ThAE/nHHCnLLz/GJKn05bLoMTVDCBJN1YW4F6+6a+NpkeX7N3Fs2Tft4o5FlmZ4vHqTuuhtp9F/gH7Z/hIf//VOsXXEda1c6+e2eLOp6i1FVgfxCgZhcisEARUWwa9dcnnyylfu2l07Y96n4/blLbFg6e7u1RsnDvKVTxBSYAEWO0Xf0MgVzpvOEjiW17SJl88ZqDkfTc7GLkoqCcbcVNYTYMHd2yQ87ozkU2mfycjdCNBxDM6YgZc7u2H8pJAWWJNcETdNIrfJxudmFZI6gRI2gzs7wTUBFMGgoiHrgzGHhREjYK7HOSAzWoSy7RqNCJGpEjb+kpTvCmKwxuppTKZrfTsBfwvnAMhxpXUiSwJLyepxKFp2tmciyCbNJIRgyoGkCP/rJCkwmKMyGT966gkOH4Csf1N+2H1+yjhe/sSGhP0efeIT/2v0+MMMXvrOK3bvBbEohLOuh5O+8Xh9gW2sO0d1wFgCLrw9loBCmIbA0nzlJXkWiZqIuZTUfLN2ISIxn2s8mCCwxReW8q446qwlLynb6LFmsrMqkPRzlHTeFudw8SK57kJ9knEfVNNLzMihedOVRrw1dLieH605hMhpYX7mEvPT8GbehqDHmWI3cVLJu3O2CACoaH9qs3ydPKMyr9XnsmrN4zL4xfw3PXjqjLz/ESZcEnjr5yoTHz7dqPH2qfcLtJlMtMIkwdxX+sQaDgWxk5h5vwWBK45Hic1za/laCoom10Vp++NGjPFT9dn7xzFL6+nJwuYRhI/Z16+CppwRUVUWaIq/UmxFBlIiFBnRtijQTF9/pI4oCsWgMo+natD8bTAYzUXn2sWb+UqxZkgJLkmuCIAhIthcwymVYxLUE1NlZ/xsMKqoqYDDAvNVBBno0xAD4IibCfuOowHNXHl9fCsrJcpOWZaPxsolINK4h0WQEBBQ1jDtgIBKBk4fKyZXcLMk5T00sD0uqC6OgMrdgkNbGHFRFQJYFHPYQMRm+8IUU2tqgpcGL1RbC2ZvCC0cHMGVY6AwG6E89jygYEUUjDQ1WvvLd9ciiRv1lgdWrhyLe2glFAqiqiiiK+D0DtJw7xNZ3/gOiKOJtacbdcHn4nC4ePEt/exdb3nEToijG1cIqihxDjkUoW7Yy4RqkGuwYRBFVlTg52I2ijUSslBBYkFbCOyq2owFPnG/h4KCPx1bN03coz+f5s50sWj77N2VthskNI/01+MOXuNyVwlvXXz/8hq8MqfJHh3af4PNQEjdBieAPxfCEwqiyApIxrlrX9/EHZNSAD6/ZDZrGU/X1rJ4/l9ZBd7wlYXjloSB1EbfOe21Dk3fsm3g5CMDp9xNobIxn5B1S/TPxZ+LLCPHPLrMJw9ISFkUi9D32JEVmC1o0gru5nbqVZVSET7BiZQhXeD3nztoQRQP2isv8/gk7npBKOBIhxTa74G9vZHwPQRB4WO5g3ckfsXX9Z17z9ptO1+FzuQh5gxizx7djmS2FF9o53vWz4ezjowVkVZERJYOe7FMjnvZApXDFZkrmrsBkNOILTzfWzMx4MwkzSYElyTXDbIR1lkG6s8O0u0QCYQOKPLngcqURrRzfPxYRCHZqWDQz7U4D2Xku/J4MJhochxLFyQJYUqNIRhE5ZkAQVERBf6P0BtIRRAUpJYZ9ToCAEuXCQDaSQcZkVXBaofnYXBAEMjJFbr9dZNMmI//65TB/+IPu8ZOXLxEJ55GVGmNNVxTL0gLkl8GfESUa9fOJT1Ry5IgDvz8fo0FB0wT6Mrs51pnGO27r4o7tIr6gHp1Ok2XKTKuGPUtMaWnE/L7hc/L1u+hrbuKRb/2AkgW61kGMuzbPWbV2zDXwxNMciKKBr664c+JrDpRaTHyoODGQ3NUOVDNJLBk9e5DeI79nVekyaDtLT1sNwzmnhrx89EZHH2DURzGxXIMyoZDG9mPYagaIXb9pODy8IEAKEraYiLtLjwPj6PLQUxwcbkId9RAaOzs55nqI9evfMYOzvzoG8kpINZnQVDUuuMW9nIY/DwlU8c9D5x3//Pgt7+HzK+egqgqlt96AqihoisIDR1tYNr8IQ+rThH66EkWzsnmJn0vNhTiiSxns0DCb/Qz4rkZgeeMQBIGS7DWYTAEOnfghPa7LFGct0I1b0Y1cly19Lwbj7OKVdNa3sfNv7n6Ne62Tay1m3V23TXt/RVVoPvUqxx77CWG/nznzr0vY7m3roXvvBUwZNsyZqRRsWjyrZb43U3i5qxJYvvnNb/Iv//IvfPrTn+a73/0uAI8++ig/+9nPOHXqFAMDA5w5c4YVK1ZM2s7u3bv5wAc+MKY8FAphsVjGqZHkLwF1wwe5IdbEHw9LhGUFyRxFkfVcLxMxNE8YpLg3UPy72Soz4DERDkooqkBfTwaaOnE7+mQpYLeoNNUaMZtV7BYfVlOEXlcWGgKCpiIADrPEPMnD97/wDAM58xhwneF73383fk82d9zbS9gZxWSrYv/+epo7GlmwOJO7v57Pb76UTUenwJ4nvYTDAvVGDd/Rdi74UthRvIotW/QYMKGQ3h9ZkdA0gerLxagqVLfM5wuf7GL9tq00PfwKMVUiY+7IGrbJkUbA7WP/A8+RmplBf3sH9oxMXN3dzFmxlbyKyde708XpCwxfnVeE0xvml0dbsZviSwFtPhp65VESpJDwZyqEvuA45rPjozrbKLzzXzEUTJ6ksevQecLuEBW3jRXQrmRoIWnQfYCMpeMtK+ll/gEvi6IxKudMELm3ooy+vnpOnXqEwcE+5s/fSEnJiimPPxMip15B6e/BtGwrkSPPUNDnY3HJ7CfGrN4IaTYjXBH5dFlVjF/sb+L9Lg+vXCgH4PADh9j0zmKGPPmOX3QTjSV6nM2Eq5/gZt+Coir4ZT/r135Q/y7HUFHR0JcA6xr20NZxhKzMSvRkjhrqUFJHTcUXdE3avnkaWcpfLyRRonLt9VSuvZ6Yc5DgyYsJ2zURUufmUbh5Cee/8xSDTzdiWpnOvLePbzA8EX8VGpYTJ07w85//nGXLliWUBwIBNm/ezL333suHP/zhabfncDioq0tUkyaFlb9sDI5iTBle3nXrZc5dyqTEUsNvDtxEIGbSNd3q0Bv0iL2JiIqGgCipiJqEhkZalg9VEQiHrCiKgMEoI4kxIuGJ3pIEREFFUQX6BxzkznHS707HrEHA4wAEbGkxJCQETSXDFCFXU1m49G60M08TTbFz0zefBAQC++vwZmUgRSto3ZyG19iMvbILg20XK74TP1x8SSKE/oPKV7t45JHNNDbquY0UZWSJCnQBZsg8QI27G5qLCoi1Oxls7GWwsZehYSKiGFBiERZsXsTS61bS09TJyWf2klkyVRq3mdM8GGJrWQZVBQ40TeNs/x4u1Jzm5r//HOZZvG23vXh56p3iaNEwmjSBX2Wck997ClIlBkPZ9Hz3ObIKpupTfHnIGZ0wOsUfv32EukgDO25aM4G/j05ubhW5uVXIcpTq6idfU4HF+6N/JHK5kfSPfJHIwccxr9mFVDb9azcTdizIZceCXA7/+CG6nvkxAIrRnGCPM+gaZPP8BcAECQin4I2c4CRRItUwEoNGMhgT4hgtnHM9ly4/gz/oRECMK6VE/R8CpxUvi+NLtOMx5Srn63zyQ8vCmtlAsN+F2R3Ql41EaPzZAWKlIM5Nxbg+l0BrPwU3Lcbp6kVVFVRVQ1VkFE2lcbCV57sCiIKAJIAUT3qpahpO2QQ4Xt8Tm4BZCSx+v593v/vd3H///fznf/5nwrb3vve9ALS0tMyoTUEQyM+fuXFdkjcxZ36P53gJ993RzfHmAn5/7joMC8I4ejUETcbntiKKAjmlTjw9KWgxI1//299wvKGUt3/mCZ4/9jc88L0VqDET2Xkybc1CPAidATnh0b3SQ0hDFHVj3dtXN2FWY1yIpnC2SR/IDDYVk1HEZJQxO4JYTGECqXCi/xkoEQATxINGBtMk/OE0Nvnnk2dMoTJ/EZ0nHiFyp37MiKLgNGgU2a1oaNi6OikbPMdbPxUgFDQSDEmAOMqeQ3dDVFTwR6Ic9MVoO90BllQMVQ4kwCAIGAQwiCLBI6cJtNfRfDETk9VEz2UnefMk6k88AYKIKIiIBgOiJCFKRiSDAUkyIhokPC4/jV2eUcspjMq8O+p7/POlfh870vRr1N/eirO1ieXX34LJOjv1eTQyoLsfJ3hyjdwrpy8Njfjxnt5LSjSL0SN+6erVpJXo7sr7vvEEzU0xHMWw6+NLSMuZvgDV+mLrhNsyCw0YfHYut3Vz3eqpPVMMBhOiePXGqM3hKK3PPK+3GclFdEiIP/oppupzRJedpufmBVcV5z2rVuXpniHbn8RZVNU0CtVNyEoulkKBK6PFBIwC7XV78QxMZGczXr9G7qvQ08mr9F5ROn36mqt5IjC5jc9kPO3rw3npxYl3kMbxpIlfotOGMlKeehmTYfx7LEcNPP1CU0Kd0ZiaHqNmb/nMOhzHanqajr1NIOjHbvWfJRyDXG6ZtJ4g6PZsT1uq2dqRiqCCiEjsFgeKVeNS/0WwKUhzRVrbGvWxQhAQRQlJkhBEEae2l23m96AAiqYiq0q8bbCG64DJNZ+vF7MSWD7+8Y9z2223cf31148RWGaL3++nrKwMRVFYsWIF//Ef/8HKlSsn3D8SiRAZlYHT633z+Ion0XH3l5ItVtLl/zPf+2YvP3vEwYm6hRR9ZpBLDxfTcLCE22+SSLFf4tDe1SjRCJ+8J8i9/1TG/372kxhTHOSnBgj6w7Q2FKCoiULJqAAKCcfVI5mqGFHRLGZO1xfRMWAlP8NHGBWDQUPBittlIdVgZkVVBpmZBWxeO86EtRZe3fMwYmsX9gMHsaxai1axguuW3QGAX5b54sv1/OAm3YXm6fpXObPPgmTxMz/TSHWd44pxTcBs1lBVAbvZwhfedzOgTyKypiFrIGsaMUUlqqqcM83h+qK/0RPxaRr5JVUYrQKiqGezVlUFVY4hKzFUOYYiy/pbkxxlgxJCicdqQBuJnTHUIfWK76vtNmKneqEyg6ziEra9+wOYbbNfGghn5+FYNbHdR8Ppx1i1Sl/2qNx+75jtR3fvZt6mTaBpLL5nAYs1jfb9l2ckrEyEpmnUvHSCRUtzWFOykCzH7M9zNsSq5rNzzk36l9tuGrP9wqHdLF51x6zbzx98lLxd42dc1qmk7ZU2bAWZ2IsS4/yEB/tI7+sgY/6qWR27rOZ7ZC2d2bLDaHID1SzeMLHN1VQc2fM4Dnn0BCtgEAWKbRZWFeRhm0Rz/8toBzfMzyPNMruln5q95Szbcc+s6g5eGsRR8TYkczoArpo/snnZ9HM1NR2FLUt2zOrYBb6DLM0aX8d4MOYct/yNYMYCy4MPPsjp06c5ceLE1DtPkwULFrB7926WLl2K1+vle9/7Hps3b+bs2bPMmzdv3Drf/OY3+epXv/qa9SHJa09w8d20+U9gjtyLryeLneUBnt4bo/+HZZTOidIsKezZYyAj4zqCIRmrFCBceiO/+/cDBP60m39q/w82LlV48NkNSAYJg6ASieihLg1GBTk6fjbdDes1NE2islKkrjmVkJTCuk2QlZnCiRMB2tocGA0ykqSwfKGXO++0ceDA2P6DPrEpzz9K1n/9lqwP3YtoEGl44Gm8oRhWo4jdYKBYEXjwdAdyLEa0+iwtNXMRQxZqOlJHtzTcV7tdwOPRUDSQVTCIujGgSRAYXhSJv+FdMlmw2TNndf3FPj+5xekzqnO88TLP7t8/+U4a5OVmsXrhWBfgmRC+IqvulZQuX0HI5xvWNAiCwEDqBEH0Zkj94fOUL6kkrWB21/ZaE7NOtIg1PYKeIP3tfSNmR0NGugJcOngag8kMKsg1g9iLlifUFU1m1Njk92ZSrjrc8dWxMUPgziviuIRjMvvOP87DHhOOtEw9oCPDi4YAxFQVTzSDiPLaL7dOB1GyokZ9wwLLm8vc9c3BjASW9vZ2Pv3pT/PCCy+8pvYlGzZsYMOGkbgVmzdvZtWqVfzgBz/g+9///rh1vvjFL/K5z31u+LvX66Ukrj5O8ubgyWYn5SErNsFDJOfXFCzewM//NYT3lRqKtl9P97Ia/vGRd6OGbewqPk8o4qCnLYOHWn/FW99zMyn/c5GnT95JjtaF1yAyGErBICqogjjsPaSjxb2LBARBIz+nnd4+C/29Mb78uRM8vLcUz2AReXNDpNdmsv5OmTUrFb79fSP97WZOn574HARBwLh4ISf3/ErXUgga1S2XqT25iLCs4g3F6OsNcF+5mZo/P4VJ0vApRViNYRaWBbjQkgNICIKqa0kAn0+3sYlGIjy+/xhv27HjGt2BmQ94UoZKniZSsWAB0qkziCYTwdNnyPn43yOYRmxMXj5yJDHQ3ZXRbIHBUD1L2DHhsSwTvMW2Hq+neNVcCleuGLOtrf/cDM4m3iWNYddxAG/3IJrIrIWVq8nIO8Lkk/rVHiLsayfS2aN/GY5Arx9z8bY1pOdloWkabc+N8+JpsPBMbxCH/dD4jWsTXwMNcIbS+ZCqjomsCuANxzDFI0ynTqjFeO0FHovRQFV6LvNFkfKy8V3UNU3jqx0v0dQNfntKPP2UgCAK8RxUo/7Gw+vD0GcBSbKOaDFngWiwocqBqXf8/5gZCSynTp2ir6+P1atXD5cpisL+/fv54Q9/SCQSeU2CDYmiyNq1a7l8eWLDM7PZjHm81LdJ3hSoqsrCmJOSvN2cPWDDoRkxKS8iRzZg8C4m9MwZcge8/PxzXextO4vvlnXcYzPw4LmD5EkfJnyplLfeW8uer9voD6eQleomrJgJRgz6YDnKJgQEcjJcOAczMBgE/vxYMb/eLXHgANx+TzE33wn33QfP/AGyU9woMZUV80Ps2G7g4x8+SzBTQpIMHKiREAURo2hEEiVEIYrN4aXgjhF3waL0xZwqOMzfrtfV7RE5xt0PfpEf1mymy64SyL6It6wUoSsbp92BMUUh4jdgNEBM1gdFUVApLlTYvN2KcZLfy9UMfiPXZmasXL8RURQ5dfggVaKIZdkywnX1CcIKwK6NG6dsa88UOVmu5LHHHiMjaCG1SyTY6cHbcgrbnAJGS0Mxt0zdQ4MTNzLKL17oPIpl6SpiAYjsa4g/N9DY58ReIHHp1Yv0doiYCsf6MkWcPeRY27FkjBVqrPQzcO57w98b2rqxla6Y0bkODPhhzsTbr/bOZ+RnkL9h2aT7TOTiajAaqUqbx4by2dktHAwoxFQF0zgCyy8ONFOWaeN4s4uCdAt/t60Cm+nKaejaaBbmzNlGTc0DE24XBIEPzPHSFzTgC+cMh8TXGFk+1VQ9P5Gmjfob30dRopRJl2bdP9GQghodCWMw20jDs8EsmQlGg9hMb25X9hkJLLt27eLcucQ3nA984AMsWLCAf/qnf3rNIiNqmkZ1dTVLly59TdpL8sZgyD/Oox3b2LI5wA7Fgvel53lpzlHai5az8Z7P4/zv/+BMtxGvIlJCMd/qOYUcK+fWrjO4U3w4cqq5+5PzuFRbhtW1EOG8RmeHDJpC4Zx22prKiEWNCAL4gpl6kDkFNq0NMqc0TCgscnGvnnvlPz4Bz+1Lp6kjjR/cb+GXv7RgtEF+tIycufkoikJMlVFUBVmVkVUZz0ATfS3P4cgtwe5Yjs9zmldbf43UqXDoAW14WF3ZZKYpYz/5ZRKOgnSaW/tw99dz9zvsHDxVyJlH8ygq8LN6mQmTmMru3RJDOZh//6yXxw8cGJ6hRo9RGpBl65t0YpsUQRwOODVdRntHmOfNI9bWRua7p7+OPlva2trw+XwUmTJYePcy6p88jM3sYOlds7dl8D90FvsN148pH7KM02QFy3PPkVZoI3PhgoR9PJfr0LQK0qsWjKk/GiUWROr6P9xtR2i9WEbVuhWs2z51WPj602cnb9fTBU99GtZ9BDIrwPj6eUxO5CEzXSRRQlYUTFfk5HH94Q9sen4f0RtvZ33fWV402XGHPozNdOUy3xu3FKLIXSyfswuTKX1W9b2nj8/62KIxBU0ZiQV09S8s0yfNnIYz5KTMVPa6HXM2zEhgSU1NZcmSxLyNKSkpZGVlDZe7XC7a2tro6uoCGHZVzs/PH/YCet/73kdRURHf/OY3AfjqV7/Khg0bmDdvHl6vl+9///tUV1fzox/96OrOLskbhqIp5FS8jaJcgdo/7iPDEOPE4lXsmjeHHm0x36j3sG7dx9lWmE6nx8rO3gYavV7mdPZRZi2mKxJljv0+FqxwcfgPuQQM7cxd4KRofia7lpyjubGEso+/yn989npiUQnBpCAKGqVzjBw9nQoM2Y+MeATM26JrWnbtggXxeUhRY5w/0ZDQ91EB2An0z8ViaqfXeT+gkC2kkGHMICcWIuYepPTOO8kSHcx96xYuHHsFJdJFeFuQT7+6iMe+K7Frex5zb4G/+8wlsjMzqSpNTTjWe26dPFDUheP1k26fDIPVRizgw+yYuT1EYNBLS5aPquXLp9551ozyCCotpaSkhK4+F9qLJym9YSn9DWeu4bGh7ZVXMdpTSMkb6zUiGo3EAhOr53t8bp65cIR8tRufJczCcDo7t93M/U8/QNWSZaRnZU+7H482PIdXNZJusiAA7miQ/lgjgqiRd+qXFJz4Fb33/op+TwtLN352Nqf6uiKJEpoqjynPePvbWZSdQ3Osm3pfBxvmbiIz5fWNXRqT/fT1XSI3d3yPMIPBTujUDwg07IHyXahNz6Gll+Jts3BOzePoql2sLnJgEAViqkqKZOLmknVXLeQBiMZUYoGOq25nNmRaMnGFXZSl/RUJLNPhySefTAgCd9999wHw7//+73zlK18B9Lep0TfY7Xbzd3/3d/T09JCWlsbKlSvZv38/69aNnwckyZsfRVN4rv0UrSxhdVUhlf50HFEXmXWHMGgevrbldg6ERIqLPSztexSTYzufisQIW89jXvNxfnDyDDlphRQfTuMru37FvNXFpMxbQ/eFn/PL2FZOPmXj1IklvGXJRY60V1FeIVJRoRAKKTScH6RY7UYyS/FsrHFrw4ibB76px2FxqzYEg5WWI904SvKH1a9BkxeDwYDDK2NAoChrNYKwBgxDa9hw0l1D5bL5dHT4eeinBygqzsVzoZPuWCP4+yhfcAO/+E07Xc5+miIyVQsW0tjmQjjbSkdnu96OKMZdjIV4HAgBURQg/lmIh96XI90EPM1ENZUnu7twKhpWQaHILFJihjJRRBRMiJIJQTQhiSZE0YQgmdCEGAGnEw0zgjhiuDraiHW0USbxmBQIsHrbVs6fOAHzZ29YKyv+Ge2/fXuiZ8nLr/4E85k0qlZeN0GNyQn6XMh1J9BUBZM9HXNmAaLZhmgw0n34ML6eAZa8b3wvJtFgRI0pE7adb08jRdBQzEW0BTRyhUv43C0UZ2egyGMn6yvxR/p5tu0Uoijxs16JVSkqYiiEIAisMLk5ywDfMzqwaFGu3/4hMo//iF0tJ7iYviqeyXdoqUKlWGtjKDm0gL4k1n3+DL7QI0iShChKo9zXR6LiCkCkOYb35RPDHudDIf/bokE87T2EIzHCkcyRDMOA3WvEmjqydHCl+dLlAQV7wz7spnGW7EWRDHMRN1beC13Q13VwzC7hLgOn1LHl00W+LHM4ML5hWkyZR3PgRQY6Gsfd7gnUEknVkCrmM/jAi8SimWSqXlpTchkoWoqn+RwP+F0Y3FGW2DfRq0X5RV0nVhRMDivf6j+Ow/8/s+q3FnBTr1mxDuiB7jobztH+p3OEwzFMWgwhPZNC8xoCK/IQpaEYVqPOO3iG/fVdUx5HUGRERSatr4laQaU/xYESsNDiL+Bo3qgs23ENj6imsWX2GTpeUwTt9dQ7XUO8Xi9paWl4PB4cjjdHkJv/nwmEI/z5Y5/EIhoo3rqdWGsX9uxU1EAXntZmSnfcidpvQLW1EstayLz1lbRdPEThy//Mc1ufYGdFKhFVRDp0jOpz+ylJKcPV10dwbhYlt76FY4/8hLK5peSULeRlt597l+qaipeeacTWV0uZ/Sir3/ZJPahbPL+KWP1z1JUfAQ2az75I6pK7OHOylrXb16FpGgMeNxf7L5JniJDa2Evxyi1ooi7w6OO4vl4tB0M0PLePWGYeeTfqMRIGgn6ODOznrvmLUGVJD+akqmC1oZgtdFw4QYVPoLB8EerolPHDn9XhlPF6nhB9SpIbm0ldtxyPy8WrlxvQUssZiERQLWayYxE22jMpW1SGqkbRtCiqGkPVIqhqDH/vAIMDqWTk5yS6NcNwqvqhNDQjOWnQUw0DftlPXVpbQj1N06jr7CKiqGTNmYMlZURjdOXElXpgD9fNH9/LD8DjS0WVR+r7+v2EbHnY8nWNR4vSygq7EU9nM+JkieyEUec2agT3Nnew+qbbEASB0GAfEb+XxmMNzNuwBaM9lcKN6ydsMtTbi6+9jdw1k0fUVRSZuv0Ps+i6d+pRU6eZNPDkyT+zbPnNKJqMrMZQVFn/p8UQFS/fPv4iJ9N28Z35JbzU+jJbs8qZlz5/OOWnIMCZ/svUep3clF9GYUoeo61hu/f8jtydH0CJyaiqEs8zNPSP4e9GzBiMJl1YFeNCqyTQeuDX5Nz4fn77whfIrfgcW4ryyHU4kESRcy+eZNmNE1+X1kOd5C3OwpI+u2Ws1hdaKbtx9m/6bS+0UjrL+hePH6Bq1XoMBt1mq9nXwynnZSQBOkM+BCTyLCl45Bh/WzVWkPYd/hqpm748q2NH3C78ddVkrdeXFGteOY6zrYvc8mKMz7mIFgQRIylEJI3Vn79xTP1Lp59m4arbJz3GT9v6sDW/SkbnYUyF8+lRejEIVfTaBtiYsYmN89eMqbOv3sn2qmvrOTXd+TuZSyjJNUEQJRZ++VusLkkjEgxx4oGncMVkIku24LcsZ40hS4+MrqVybGAQ3yt1pKjZcM+LvH1RGa4vvQupz4N143VsXTufEw0m9qy/DtNghLV/7iQ7tgtrS5iW+iYGK0rpbBxEEAW0vjCZ+UsozBcxlFfR+/F7SNm2AwBRyUQ4+xwAXz0VY55ymZ6mVnzVT+MPRLn9a/9JfrQAU5qdEzX9+C51IKjK8AQ+9JaqiSKrPvv32O0jAdW8YSvN5ytYULSa8Ug1NyGlW0lbvGTc7RMx2K2SXrUUulzkVDupKMmmctOi6WWKlXowFsQorJy999wy1tPlC3CypY1QOASSyN/ecBtF03AvPtSsUbx97MA6xJBJZzQYpfdkPSmWGLLfT9VO3cqk+3APCzdOHjRrMp5+6bdkLtKNgzOAlppGym9ZS9maK0OljUU0GvSkiVMgSQaMoj6MCoIwbTs+URQxGSe+htfP6+Gbc/Q4KEvS7xt3nwFnjA8tHX9JseOsRiBWk9hXo0TlW7cQiAYIBT3E/D5SUkzYMtLH1LdKRhyWNG5c+0/8qeUSPz/ax07aWR1sYWHIQHRvB4gGjFtuG+MNFAlPfd1eayL+ENFgBEES8boDdLb0YTIbySmY2XKo7k02cg/npOYzJ1U3ZXi4cR87C5eRNYnLuWaZ/cuyKBnQRmnnlu0cWWHoTe3F1+whpchOwcbJU3JMxkdLc6H0HfRF3sppbxCP8yjpWi9vK7yburaJAyy+WUgKLEmuCbKqIYkgGSRsDjvbP/JOAKqPdVCwJJWM0pFMpzfH/waq6xEkA4LRTNZ/P0Lo+d+xN6OQAz4fWSUpXBYdzPN4+LVq40t1R1hsjRHqs7F+eTm5y8pB1SgxBRnccxmryQNA6u13o3pdSFn5WK//5PAxo6d/QqDvIp9cZcF9QSG67AZaettBA4PZAGuXklW+FLMkMCd9Ysv5bx5uJMVkIKoopFgmMRa0WhCuwqstvTCT2z76thnViUaimOyzP+ZT5y4SDIfJtKVwXWU5qbOMeDsVA81NHDt1FkthBmKmjca4u7RL7Z9Ve5qq4vL0ociJsUTMNjPKNOOLiEYj6jSWduDamIhOp83JVOP2W1aTM38Fh8+eIRyOYLGYkTp66H/0x5gkM5YUB1JKCi19bUiqQNg9gDk9U9ewaAK9bYdwH9efnTsun+Ge5jOk5FdgLFmLlJONadvdqK5+ok/+BCE2CNkLMay6DjEtE4v16qYVITK96z6alr2XsBdnoCkq5koroUCE88eauOkdG6auPBpNmzCS8b1zpxMM72rcmg1oyvjnnrc6j7zVeXEtXjw4pKKgqUr8s4wsTz9bc67ZyM05adycowctVFWVs7Frkw7itSQpsCS5JqiqNhycaQhfKEbMG6X+VAtNQE5lOgA9gXYyM+yEOpop8x2HsyYENULEGeWmD96C78he5Jx5ZB07yfpyO7FBhcsoOCoX4JVqSDn5Kj6nkVBDF9pACKnEgWLVj2275T0A+B/6QUJfbhlIoTUoc7Q/zLzrSvE07iebZcxbVMZFXzf9qNQNBtjfMkDZFQKLKxTj37fMRRAEUkwSn1pThqqqfKb6Mj+sP4qsKnxmwebh/b2edrqcpymq68ZffWRG11EQq2a0/2jkWAyreXaB1l6ovcyCvFzm5U7fePRK3M7LHHu8aUy5cMV0HHR2s3LXLuYu25pQ/vOa2bmI9jjbee6533Ld9W9PKDeYDGOEmIkQjGYGLtVhiCRG+TRk5JG5atOs+jUTtHEmvgvOGi4HfMNXryM4cXTvA501VEkmbtyyCZNh8hxN4/HofjOL1r1f/3KFKWGgo5bup/6Pk8395OblM3fzO8jMKqb14f+gJu0OXIMW7qxKZ7Z+TZpl5tOSIcVE0YpEd7q+jkF+9bU9vPUTW0jPTJ2gZiJGjxPv6e+SKHgkRth++oyP1GWbdPu4K+6To1tg++wCBKMaDXxfSSH4rf9Gi8RYVzYX39mHWP3Wt2Cx5aIqESSDGRDj4fUlBDFuoyQaEG2zN9B/LYyGXw+SAkuSa4Kiakhi4sRUe66XhSvy8WbbEQGTWo+3P0RPbxuZKQY0W5BecSH27EJoP4K2aBcpkoms3oucudTC9WnNVClWtMEwWtoS5l//Pg4dOoQ3HMZodNNjHUQWAqxdMofTLz3Mwj2/GD520B1D+P1vh79v2AgbMHC600lN9kbIXkEHTexraiKsxHj3gk0Up2RwZ+XYBHB7Gpx892QrkiAM232Iosj3V+lvKz+sP5qw/8kLD1I1fyuFO9bMyMVYU1Ui+1+d9v5X4g+4CThbcIfimpF44Kuhz8CwAeYQgiASkmWcbgM3LpjY/mQ6tKybx20LJ14Smor+UD/VfdUomoKiKaiqOv5nbeSzpmn4/R6QBFrPt+K/7NMDfwkQcHsIB83Y0gcJDIbxu6MA9LV4yS4dEeyGrsbcO+4jIy8xZP+5B/+NXvk0om6hjCaZ6e3toO3cK8MBxQRBQEQcMWRmJOAY6EtH3f1OJpvXokqIUz0nhkyN0FA5N9DEu+bfjXUaLs5li4zsWnhtBKuU4gWkFC/A+fg+Vq2bT/dv301d6S4Kmp9ix6c+x7n6CNHX2TQyGovS+Op5AHp6IojZRmIRmQ9+eWZLilYpA8eqsWkiRnN7SQetLY0sXTNW43J6b1Nc4LmSxOsxZLcmiCJCPEu2qioEjTnYr6/gWG0GG7ueI6toOa7uHAbcNjrcCp//x4ltVJqbr61X3ZuBpMCS5JqgaGMFFtUTxZ5jw2wz0PBiG7E+P50DJ1mzfj0lCxfivHiBgeIqzOW5uBUJYzRM1Otl59/8GzsUBU2TEQVYIgg0HHgcgA0b1hEKuejp6SMYdOG3qzjmZmLp3kL2xhuQDEask4S2rz9wkHcvHD/y5UTcUpnDLUxshJbm6eLQiR/qb8kamAxmiotnqJoGkKMwRQbjyXDYXRiz8hGHJzjtCgNaddRnfXuLpw5XqIP71v79rI/7WjEYHsQT8SAIAgbBgCRImCQTkiDp/0Rp+LMgCEiihAEDWkYIZ8NeGpuchLLuQhBAFCWiYWhrbaP6UjMWm5mdb9nAnHm6+4NomN4bZlvBLm5csxk0UDUZTY5QWBkhhgFF1QUmFTW+XR0OLqYmXGuNpvQJckHE2V52C76oLy5L6mJmaqgGUfWhqvoz8Ua/FdvNRooK88n/h+fwunpJv++f4m/8Xajq7AWW2SyxLbxRF/9ioRjm4z0Ub792Uc8dOcUoNeN7MXky83Ese8uEdV+q/xUxJUp910XypVTkVAOaIOE4vhBLVRClZR91sonrhVV09BZgSzXjPtNCVOpgmb0fmH1cor8GkgJLkmvClRoWrzc87IpnTDHRubKF+0/+gu+nf47YZRElux+f305jMMag5uZAk4v33rGalCLdNFMyGBj9uA4Z+vX21tDZeYi0tHnMmWMCjLjd5yia56C75Sid9WdYd8vHsaW+fvlBii1ZbF761qtvKBYGw+ySsAFIImRlzUMyTU85H1NinPE3cMvyT0698zRQtaszvqxIq2B7ycyT6EUjXpwmAwWKDzHSTcmqtZQt1rVF//CbZ3Gn5bLcZqFPMjF3moLKEKIgYRSH7okRDFZmk6Xk4sDkS3U2oxWbMdFmKLXwdrq6HgIEgsEmFi/+9oT1Xyu7GlVVkdUYqqLoQRXlmK7RUmS8Xi99nX1oioqqCnQ2d6OqKu6uQXyKxqAvhv4I6N5vaENOe9qwIbvuFceI15qmEenw0nX4fKIx72hX/FF/h881rtmKeML0nR9Ak53E/fTjkQ1GuXULAnpc/SEX7/h4Igr01TZhL4ynJBDEEeWjIOr7iwIgEnV2cu5SE4Koh+gXBRFBFAj6xnfl94T6+f2JrxFQ5pMxWIRPVChekEmmEOT0sadIEyFUF+bethwK7NsICjIDJTassRew1/YSFMLE7tvC4QtPD126uJZGQENDBZwDPbT4nprgTsbDPE/CU+dNNHvGs2PRrrmX0HRJCixJrg2hCGf3/IZLtkqMGQsxeqJUpJppeEG3RC9nHl9P/TaPNvXz47Y+bvU6uCPbTKP3KN0BL8X+c0S++wsupGWTtX7zmObdITOHnt9DONzN3EXLKJ+3Y9xu5BQv4fLppxBEiWjYz5obPp6w3dfVwZ9PnwUEqj1+suZU4A/LlLpi5I1jsDo6IcCVZUO0tQuUDP45oSwSkknzpZKdNcnsdkVDsVCUszWt5Lgi4+8/TvXRrsX9/r1kL5jehB8IB/ntiT8QNG+lflC/R71dPSwpSBwirhz2rrweo08hs9bNKffs42k4tNmFCTeZHRQsfSe/EdrxHA3zDstZOo8dwJ6eTswq8W875lGWnsbvn7pEUUsYx9w00uemz7qf4yGH3PR7WwEBFUbCuwv6XO3tusSA/L0J67d29mAsWo6maSPeaZqGIOg2ReGwzOnTj01Yv66mjZBzNxrQ3VBHYeUoz6hR6QsAupp9FM2rRANEdBf+Uy3nMcd+F8+lIyKJEoKk/xVFA6IokNJ4jLb8XERRQJREBEFEkgSK/QOkWc1o6VZ9nkdANIqJrtNDQkLcT1sQxCGZgKizC0tWFqa0uFCnDUWdGfqqJZZpIxpCY5YN54X9pM9/e1wIGqVVVLXh0AGj6wzvp6goEa8u4Gtq4nZAU5V4XY3SxRsZ0FQ0RUNW4zFqNHD4R8UxGUXX6adY/KcWUiq24FtcTqFs55HBAT5duYU7FqThHehCEEW6SsxUrdmMXRDIM2qI0p1IBoMeTyees2golJIYj6UzVPajVxfw9mWzX8a90H+ZT+wcW39f/V9wtuYkSaZDdpbGLfdcR0dDG4tWTZzmvpIySve3EorKVC6IYmrqJLPITnCJkaI5f+DSsT/THo2yYtsHMVgsw29d+fH6bmcj7oGGCdtPz55L+nY9V8zpl39GzYHfJGxP8V8iO1DEunXrUM7X8o7yfJra3URSYGFJ+qzO/aKrj8pt2xLKYsEoTdV1FG+afroJMRgiVztO1a0z1zIAyCeapu1me/D8E/zdpg8gjbKx+dOeTt6+duJYJVPR2q9Qtmn2wR+9xydPBHdp72N43b0ARL0i/tL58TdhAANSOJXctDDdahp1IScVaUfYZm/i0GU/j3teYJ51HXnr3kHni048jbpXmTnbQvrcdCxpV5en7FztnxEMVlKtmQjx8CiCpk8uoqaxLaCQtejvYYL4MoODD1O5dHJbisloOdFFYb+VSChIuDGC2d/PbZ/6h3H3PTa4l/WbdiSUaajctunWSY9xuK2F1dtWjsl5E0ppQo3KpCyYXXJJd4oBW14GlvTZuQibM+ykFs9OI5B6Jpe0eeOHJriS/HHKzodeGHff0qK1WK9zoew7R5YGZZ++g9sM8ZeXnBFh8tWaJ8nJTxu3jWvNX0JAtqTAkuSaoChhRHHsoH/h5OMIogFNlVm85i4AbttWRtgfpKOhgazMGzFlp1Jm/wgGycQcaycRYyn1D32T3OU7yFm1C4CGJ36MwWgiGvNinzve0DGWVbs+MqZMSH+QiopVHD9+nM5QO4+3+HF5FRb4fXS7YFhnDCNvpRMkJet12jBJ6fR19TBfUbh46U+MMl1Aik2vn8P7m4x65NlRPNTtoj4Y5qI/xL/OLWSxfRJXY0HUDfuEiYUWb8DNicuvkJNekSCsAMSi09PsXCvM+45wvLMlQW0z9LYsCALW9GzW3/VRADpPNBBq6aDy3hFPI+X5Rm7/R11YvY0b+Olvf8Y7tn6MzuYXUKNrycwuxN/XQMU9un2RqqgEe4IMnOtHDg65l2pD+TUxOcxo8vSGdcmUSlnxRtLSSsffYbATgoOQOtaoG8DisnHh1dNYU1OomEbcmCvJLa9gw02zj2Hj9QUJRAKkmFMm3Kd40TrOPvg9qrIKEAQZZdCF5nejajZMy3bM+tiaxijBc1YtXEXdq+O0bKOveQ/j6mJXLcJoeZWc1Mu0tf+S8fSSpto6qp1B0PRoy6OZ2G9JZ3lvE/CFWff9LyGEbFJgSXJNiMXcCIKIyZTCpdNPD5dn5VaSX7qES6efpbX+JKJoAdXEycdfwpJpxRts5WhuC6uq5iMRYWHUxcrtXwXLHgK9zQTinj/WtCyKdrwDJdSPr/XJq+prSkoKW7duJf3cAywtH7v8NBludy/hsEuPgBu9yIo1O1gE7N33ecpK78BiyYgLHQIxZWZxDkRJQlMS7UDyzAaimol78zMot0yhBRgJYzuGQV8HJ+qPYDU72LbkdozjuL5O5tGkqipKOErY5cVzuRPbwkyMJiOS0TiuvdClA2fRFJXRQ21GfhZ5caPXoeLRhqQLStaTeff0Jt2itZXUNU0eltyeuZgnjnTw/js/ihKTad1zHKMwEgRMlETsRXbsRePblwT7gmQfnZ51iCQaUJVJXKitaRB0TSiwZKdZKL5uFaefO8LFvWf02WTEoAJX3wD5Jfl6yHxVRVPikZUFETSVYH9w3HaH2Pu757A5LGhAUVX5mO1l7kUcPl5DVImMpHPQdKsPDQ1TqBprlkhneiNLV9yDpoqY07MQLRZU9yCxutppXafxiAb8yJEIsYD+/GloCAgYU6ZrLDR7Cx5JEpFjUT367ywwmVawc87EGprHBQdbJxljsga/g2PV+IECp+LBYy/xvZr2WdUF6DS/+SWWpMCS5JogSRYEQaJyyfh5YOYtux6/pxdVC6OqEco3gC+Qi1XJYmH7UlKaVYqzsumtfZbmnj+Rm5VB3i0fGtOOYExBlUOz7ufVZqY4f/5FSksXIQgCixbp2h9VVZk79+1IoglVlePH0HAP5jIT34Xx0svvyJy+mlwYx9BOlsMcvPAMiJnsWvm2MZ5co5lsOenCV3cjhCw4yjIIEaLH/0sy596As/sYxeW3UjQ30fNKVVQWbV+RcE6t1Q3UHaoZ7uKVt0INOZnJooKmqokFV1y/99y+hT/tOayfm9FAxR2b6LvQSOueE5TdMnkIfgBbrg1xmmFpJNGIokQn3sGSDuGBibcLoCkqq27eOO5mJaYQi0QRpXhMDklElEaEPcuf3Xjq69A0FTWm4G30IJiMuou0qlJkysJkzcXZ4ae7WaOnuTnhSZEDGjdsHf/YmqLQ/lKI0rU3jd93awqDT72Kqdk98flNgrm+hwGDST+f+D0MtPRjLRi7VBJXfiVqH2LTWwYd99i2FCJuN4ac8QXJq+VaBBkcItdm5L6ls/eO+u7ZttewN9eGpMCS5JoxmTAwOOihtbUXueMhTJILyVdMNhIerw9r2EhnYzd2Y4ylG7bgbP4FhalfGrcdQbKMmxl2uiQKBeMPJ5qqEOo+TKz3BIIGrqiXvWqI3MxyekJtlFi3UpxVMqwdEEWRkuJE2w9FUfA3nZ9R37SEt+rZIKBpGjE5Sk3LKTyBXhRFYf3CW3FMI2qtdwCOP7FX78twizr+QhOKy8uSj7+LuhdfpLe3EFdrKx63mS7XrzGf/iMR53YCe/U31fw5RWMEsLIVlZMev/7yyZmc7NhLNc7zd2VJ7uK5NLc4UVVlwginCceY5pQjSabJBRZrOvgnNmYUzCa0cBAhZXxtj2SUkIwT30PbgJtgp27kOvjnH2KxDaC9/fOc7C0g3ZoNVgj6w6SbBLbfOmdM/ZPPNo/bbrDtMu1HzlK2c9u42wFEswn70lTs75jdkpTrgWfJvHFsTpvpMvjo7JcyDVYr0WCQiRfCJufqdRRXoR0SBBRFHrO0O+0jTzDWvJnSDSYFliRvCBkZGQQCAVTTWyhfvGl4+WHg3HfZuPTTnHvlF0hGP5GB31G14YuYC8YPgjU64/BrRcdANzWtdciqjNxWy/VlUUx5q3Cs+DSCKGGJBig8+m1sfhmPINPiauFo86hgcQJUZFSwumL1sBAjyzLSNCbE2SJHo/Q2N9J+4VzcbkWgo7eWNp7AbE5hfvEKVleO/8Y8Eel5eay7Ye6E252nL1P30H7ATKZtC+a0LG64edHwAHf01WoW7Vgx63NqD4WIPP4EY6eB8V00XUGFgZdPD2853zlI8yuJWhfnoMZDcS3LUEshl5dFh39NsSOeo2USWyVFbWd//bmEMmNfCJOYaFwcDATJVBoJm/vHdlkALeDFmGuecAAWzEa0UAQmEFimojHYiafpYcrTF2CuzGfOpx/hiRMvc8B5jqiiEopq3LCwiJ6eAtaHZSxXRJedaIqSVSO5i6uwTKGBON9+gbQjz7Bg7U0Mu7UIwoSTYsKxlTdughSMJrTYJILmNWeKc9c0VDWGEovq4eY0BUFTQVMxxyLUdvVjNqUQUzUUVUOOezHJqoqs6Z5qiqoho8fKUlQNRQMFjctNHTzfMNaBYVA0w/xro3GaKUmBJck1ZOIfn8FgoLy8HCgfd/vSnUPLP58BoN/nos3dTyDkQ44EhtsWgGwsZM26jwKapqAq0FArczn4IoUZ6exaugGz0cLFgVYcqz+RUMNkSuHGbXpG1kMnfsjm+YlePJqmcbH7Ig8cf4AUr5ENRRuJKFEskxnIjscEl6+n8TJt56qJRSKIBv0nLBkMZBQUseYtdw2vvx8+aMGvhdDQqG0/TW376fjEqdGkFuKXJjcCbh/sZ92L479pDyGmx6g3mxFEA8gD7DlwYFgLEelq4PK+xknrjyd6DM1pUlUpS2+efaCspueP8t4xbppj3TZlRebJg//B2mVjlxyvpGCcsk7/4xQs34g4TY8sAC0YJHrmFAZADgVoff6X5K25hZS8MgSjCTQR774epPTAtATyjh4//lxLPL4I+MtW0FRYxhP9j7B68XU0nX6CB08o2EQ7i1xuCKbR71ZJLxWpfrENg5R4kJbqw6ix1vj90RdeBDTUmEyGVoen/TjhdonyeeMbFQfXXYfg6+f4s78eFgCFobC9o6+DIhP2e5CsVrRQGFNaBmGPxspXpl6eCNXUYsiVEUSB1rYwqStWgQYDocMU7TvH6Au3R0ujSChPKDvaH2OzMGIjdip8CavQTl54I7bu3oRjDdVq87ax2R7FkBC0b+SkjB0Cz5vHe0p0UrvrGfCdHF8GB442H6Q8OvlzpAoC1S3n2FlyPQgSmiCgIaK2+2kKV5CdZ0QSBYyiiEEUMJtEDIIBg6i7RRtEASn+1yDocWSMosDS4yepfP/YSLr+A7MPTfBakxRYklwjZqf2GG+OvtBcjTvoZXFOESmZFRitaTBqwHi5OcTMciCPRqD1aD0xXxRzyhpuXb8gYWvMnD7jDguCwOLCxSwuXMwrx57DYDUSPdyPIzeDSKsHc9nM3Ba7L9fRUnN6WHORVVTCilvegsk8uRFijkNmxZzrsKXmjdnmaTnE35ZPvN6taRqv0ETpsusnPUZj7ZOsyi6nIHvhmG3nj55m3oYPTFp/UvY/PPu6QIp5esObQTLgSF3ON2v2U2YTKbOnsTl/+u7nkjEFTY3BDAQWLBa0aJRLD/w3ctDLnBvfg7vhNEd++hVKl63GqoikL7gZx8oJvIyuoO2lJi7FohjNeh+84QgFR07wDvPf8hPjSxRGK/ik6SALlcswPwOvrZCg7zpUqR8lNZOgJ4LBOPKbSknPZ/2dOyY42g0AtOw5juW6CdzWjz3H+m3vmFbfu1sucOnZP7LirX9HZn4Zpw4fxLFp6vNWPG2k3bEJURJpuv8VKq4vQUAgfHw9xRsS+57bcohbyxO1tFqTk5o+Hzsqslibm0bTsSCqo5J3LrhhQk3Qi+3HqMpbht00/stH/sn95C4rJNrpQx4IQ4WDi3X9LFqQg8VsIOoqxbJ014TnlBYWWbx28sCN0ViUFz0/pGjT2/H19eHv6yPicqHKAkvsBuZUzO71bbrRnt9IkgJLkmvIzFW7Vw4T3c42egI+di2ZeM18pmiaRqivC0/PWWyBCOnlOaQXZnPm2bHJw6YUu6Yhl2VX5ENFPqqqEj4/gOdFPTCbuTIdy5yJhZdwvYu6M4eZl76JdXfdO+O1aQEpIST8jOrG37ymQhY0DIw/0E3X3uPNwNr5OzH0+zkw4MdicHOg+zxbC6YnBguCNNbgd6o6ooino4FYxMuyD/0nAPaSBRRteStyNIwS8NH0i1NUzi3B5JjaoiI/18bK7BzyClO58Pj/Ei2ejyO7hPp9f2BthoDTJ3KgeBtHGiQqRBNibzrz0p+is24rg/gZ6Aoxf0MOu/5mJwDHn+qd4ohTnN8MbK8KyhdT8PdfH/6utnpp9RxP2Eeymii+YnlREAVQVZBEVPcgSiiCaDZN2yP6tooc/FGF353uYO3NaSOapEn6bhQlotrUNnODTzRyPN9ItHMAuyrgOuHEYlSxpicmrBy4dBRv05A2SOOw/wQXzT+fsN02OY0Caya1WgGu3l6+/5Of8N5bbiGzvJyM0rm4LrTD0rLpXYC/QJICS5JrxNShoCfC6XFS11FHMBYh0+Zg15Ktk+4/1dAoh8N4mquJREeMHC3peeQu2YUkjbgGZ4yXJVYQ0FQ1MUz4KDRN4+AJPRN0af4qSksSXRZHD36iKGJbljNcL3xxAM8LLSAKmMscyO4IiicyfOlMxanMX7GRqs2zCxwnCBJcZXj8qZA1DePrKJg8d74Hi1FE1TR2LhirORrNTIwF01LS2ZGSTlPvr8kzLaXIlj7tuoIook1jEruSi2cucd23v5PYlsGI0WBEEE2QZ0Q0T8+9NjXVhNcbJq8wFVvVDsTuOuZufTuleZXsaD2Lp+kFnjWs4M/CdqQMBy9dDPBRg0j5DTEOXvLjkjWkYyfo84rc/oGpkyb6+1xEBnzjbrtaI82+3AHW7koMWtf4yEF6jl0aaVvTiHS5GdzzDIgCIQKcO1iDIGhIKWPvhVtOfEZrXX5eaBrgcreLD2d0c+bl89gix+m1Ta5RNIkiMWXy35Rz93mMuTY8dg2hIo1Io4e25Zlknb/EpbwQW8/pEY6j0TD1tZfY/u7dw3UXv2zhtmXvTWjvEwefxaUYybcZeM/cKlZlFnHC0cMDh0/wb//yL0gmk+7armocfKCeAaF52HtqNJGgzOpby7HYZp/u440mKbAkeVPxasjIvL4W1lSuwmKeXmj28YZHp7eW853PIwgiaY0mFmx9C1mO8RMQNh//ORZLEQfaL9H47CY+dOM6DHHbEFEyoMgxDKbxY55sWTeivj10/IdjBJaJEAQB6+JsrIuzUaMK0VYv5vJUjDlX2JU0zl4Y8MUcHDp1hgyHrjnq93nIttspu/wnHKWrOeuaxK0WSO+ugaWTC0sDsp/iCbQ42iwF1ok41NCPJAoEowq5qVNHop3JW/4Q2XKYzYUz81ARJCkeY2ZmVNzwrgm9wASjAdcgdO3vGtd1N2FfwOuP4sm1MA+Ys2gN52WB02eOU9t8kiWm4zy3+f1U5WTzkZXwH43gcdion/826juayCqysaQqSihmwxsIceRkFx2dXiaLUeyu75jQFVyRZaJqBFmWR7JXX2WixpKbVhH16+ELhlMVzMlDUKMgieRvNoPRQCQYpLPxlTH1RS1MX9CFSTQS8PZz6OBetqdb2ZVuYe6KHVjs6RQ5l/F/J38MSyf2bjKJEv5YkFwtbdznSzSYsCzPIFLnI2w3UZVuZc62DLIEEf/8LFxNB+lCxOk8Sn7+dtLKzATaB+i/0IymqRg9GrW18MUvQloa7N4NO9U+7tz8Hg7VN/Dfr5zlHemNmI0GFhQVIZl0gfaH33kYSRKpKs5nzTheXwDNZ/sZ7AlSUPHGRNJ9LUgKLEmuCYIgTDty4j6XD4+ssCMzlYycuSyfM3VMjPHQNI3L3S/Q4blIirWE7Qs+iSiInHIdxDrkATIOFksRBctu42146bKW809PHaezeYBff+wGBMlILBIkuPtbiGmTRwWRUsLjdWrKfosmCcu8jPE3XsXbakjJYFPVYiqLE4OH1AS87Nxyz9QN7K+bcpfitHJO1z1CRXAbZWWJmrCrXxK6wg06y0ajM0DHYJA8x3SCiM38+Kn24hnXEUQJTZm9a/14SJKEsdJM6Q3TU+/nRGV++9xpXMcuYZQM6Co6ieIV28lKr2SXv4PLchb3VV5PUWaAx0pdiCYj3vwM5mgSKx1BartaMKRJ3LiynN93n+Lg83tGzpFEgSnY4qIwEiUjO4vceYUYbSMCpBZVyWw2c5ZjCNrMNS6pbWOFG5Pdhsk+9QuMIGrjGj8vTi+kzt1GTJUpO/lD3n/7j5FMie3l5izkbVmTv3AszKxkb/d5zg+2oKgKUlwQu3gewgL098jcluriSE8PUtkcDp7vYveOhQyGIhzt6+akBzIsIkFnCANtiGE3D//wGI8dWs2n3i/zLz+YR98grI7HnjvS9DtCyhkunQyTVdfL5wNZrLr7Y2NiJPVGIbe9FkPlxM98SroJ38A4Y9QoVFV9w7OAT0ZSYElyzZjOQHXE7aclFCHTaCCoqPHUazNDVUMcbfglwZiXwqxN7Fz42RnV7+8P0/7qtwkIIXZtfhuRvgE+fWwQXzhGrCVE4NIvSL/lXRhKJk8sJj7+s7GFVxFHRVOvLg6LosK1tqOrKNlCRckWDh3/4RiB5epJfBaKM2wUZ9iucebYWdhdiRLqFMsEszlSb1MLqqImBISbCItRIs14hreuH5t+AqAISHe38GzbCW4tXcuaNN0uRlZUvn6mlfcumMu8whEXdltBGVt2TK5pUlUVd6+Lxuo61IgusKkAPpksSy7lq5chGmfuyn+x72oCQcoI44QPWJUzYkyvZH8X36n/In3jV8fsZzRM7smXYkzhttKx+bVCDU3YbEb6oy30OZpZGnySTNNttNf08cmePjzOftaqnSx3O7Gb/PxZrOU28yYKDPfwxxM5pOUI/NefTFSfV1BUFddAiK1bqjG5etmqzYFgmLy7P4LZMb5n39e/qBs462EGxseeYaa7wUMsIseTQIIaz5atKioyBtxHz2Cwp6AhoOkZKpF7+5mdc/1rT1JgSXKNmN5Eu9pu4pW2ejJTM8nLSePiBPVissyl9os4fYPDc7isKvyh61XeUjqXtXPvJN0yQRjSziDO6sZ4VtihuC0jWWOlUCGa20GdV6KHi5gkgaZv3IIoinRmZhHNziCk+qGtWtcaDFn1DaWcRwBRIBDupcd7efjcBQQ8QS9O16gw6aPmngT7llGfh1Xeskow5Cfk9sXLh3cYbj+xLH5ugr7NH4rhCobIjYYxDr2RCaBqKrISAzQ0LZ5LWI0nqdc0NE1B01SkkBct4E64lAm5jUb1OaxECYQDCeekRgOoMf/ISQvicJoCva44oW0QQCA8cWh7VY33Nf53+LN+NkQ0iMRk3MHosJJqaIlqtH2s7mk7kvk3GA4z6Otm9D3URoXEFxCQCGKQDPHlDhFFDSAHvMSMdv20NNA0ATRhuBU9xCzEenoRJBEUlUhvP87q02iKgqqooOrh9fWswCqpRpUj+88RKypE0fSMwKp+q/T4GfEswVFFRdY0Uix+Xm7eMyqLjcZgX5As64gdTHPQyXcGcxCH8ktpGp2uIC/9z8+xFRcO39eoy8U5d8eoKz76d5mY1abN58VeWjp870OmIPkZedQdOYcSXyoTAJPVTP78YlIzEpckBh9+GaSRPkba27j0+98Mf3fW9dBclE5/tJ+q1AW82hWmJNvG3OI03ZDd66QkOx3QIznHhEaCpx8jEmkhP398GyAlJULo1JfpDLuwSCMvIi6fmx9fso27nDlaY6ihoSgxLC4DWfYCjJkQA8T8GGXKaQwVqaSEurgu+2UEsZn2YDZ/emAHu6/7PQGLmbfa386/f/k2Gi+nEokY9edl1DFFRaPmeCXRF35LoFTX+nznRw/wyiu38rYP7GZJqIB0cxoC0NTl4P6nlvKNjxzCp2Rx/MmjQ7dxREErACooCjzzo6Pkz12GJcWqL9dJ+pgjFC8gZAgjRgQETY3nGVcYTJnLNAM8X3OSAkuSa0IUC4c69mMx1TP0QxyKnBKfjvV09qIEXhsVqWH21pzlSMRGtacNkyQiCQKyqmL2NlLp0FhSNI+lZUsSJrnrFm3k5SP/QyzHCRMILN1CG3PTlgynpR9KaDf0Mb+yiHzg8uk63rljeUJduUQlFvEgB9WE+tpQUrzhSR8KVi2jz1s7nJZeQ6UzBVrdusCSoHAa9WV0uTrqiwq0BiG9unbkGmqjKl0xERNPcT+0IdTVwEmDk9MDdpSRiiw3OKk/+VNdeBBAFyiGAnuJw8JEvaeHdedH7AESNWaJA3rMUMzLl15OKMt0N+K/+NuR/YcuOMCQoDSJmiFytoNzwdEeMokT5ZDwqcufQ991oeK5tiD5i+bzyOlOgASPJ4HRspYwLCwKgNWwkLquluHvw5IGI31v7X6VzfPm6U+BpqEZVQSXiYjbiSaM1BEE0IT4OQqAoBHac5jMTXcgiAJZC/KQozFESdQTXYqSro43SAiiyPK8Qp693MWO7HlI8RgaoiggAgZJRBTAIAmYDSIt4Rgv9b+Xu0oTA3z9n7OFty0rH/5+3QTX+oirhY333Tb8fWqz21E8/jhLt09tGB7xheiua6Pd1zgiYAOxoJ/lfzMSbycDXVPn/+NPiLWeI5y3lQ2yG8VUxh+DXpqXzYVIGsfCMvfkmtmHxL9tXEOhIzXheCdOfpuMjFtJTx/fpgPgcv2PWVP19wllE12jKxnwD3BCO8HNS5ddsWUnjRcvYDAace+7TEZhJj1NYVxSjP/qWcoTz95Nqk2m3ZWBpmpxYWUIfWwLKRaiITP/uu8LvO2+8/z5wSXc+dZTFBbNZ+P6twKwaK6+dC7UQvpFWPSeySNHD9Fck43RJFG8YHou85ELk9u6vZ4kBZYk1wSnlkpl8T1UTSNhWf1gG2VFhSyeYxgeLMIxGUXTB+Ta/cdYvuxt49Y1Gq3cvO3L1Hzr47TFNJSlcYFDG5nI84IC6XMmtmEZwtTUMaYsJmhkLthJqnXqHD7jiUutyiHWlM/+/cQXWkH58qJZ1R2o0dg1ZzGO1PQrtkzPRfyckkr+2rdOa9/xQmWdMwRxLJ1dIjeA4p6fUHjr7ALHtT7yKjdvn34slZnQ54tRVLRzVnW7Gs9jX78IYFrh3zN6+inOnNp2I8ckoVwh/b3U4KQ4fboJA6895lQr5eNknj7+xHE69v2IoclakASKtnwUWapEthVSFFHQIqmE+y4wWNFEuqEcR9Z2bvK6mBvw8YpxHs80tfHhFYsT2l296rOcOPF9Vq36GEbj1EbaM0VRFKRxMqEHPB5qz55h8ZqNPPDU5xGkLFKy2jFaLZw8acflT6PPK05qSK0oAgYDaNYUfv3LrTTXpmBVGxBjh2g8eI7fPXATgh3cblg4NgTSpKTnZNDd+ObPGzQeSYElyTVhJtG1LZJESFawm0YeR4tx1KM5DTuOZf/8IyLHniPaUIv9nZ9K0MKMVi9PxnhdVmJOjNIb6AZ4FTYsqqrMOq9Ikr8s7JJEWE18gi+6g3xqzZs/JodWYKF43d8Nf297+dsApL9DD1A3cP45gs4Oog1t/LO1CMFQjhjtQRVDFFz3Ye599XF2rhjrjiyKItk5iwkEBkhPH/+FRUBCUWUkcea/E0VTkESJ756u4bSrlZ05FRhEkZaLCo/+ehcFl/2kV0nc88lWPrmrinBQQFU0hgSzyYZITROJhDWOvphOVp6TgjlnyF1QSPtlO4XFGXR3GdlxO3zjG3D//XDo0PT7nZrloOHkOC7pfid0nYaqCZJavglIjmZJrglmUUCdptBilkRC8sRuocI0vQzM62/GULYQ78+/gv3tn0TK1I0zz3e04xrl8TARrr4gj+5NTLjnDYRI43HdDdmaR2XldBXG0+OHrb3Ik5xfyQwDko0mqkQxzGIgHuLNlPTsr4VLddW0R386sjAqjCyL6cHvtQRzkbZBFbZPvUAznoutURIIxhRsszB8nRlX5w1mNCQu5WiaSueBn6HFk0daM+dSct2n8ApfAEcREIn/U/HXfJ+C8MQeWhZzKsGgd0KBJbs7wiv1P0AwJuq7RuyARv6/Ek+gD1NKH1uzl7FIamAwqhA4dpG0tBtwiAKeC3Zcl1P4pzsyCQcFRBFUZbrXSsNklCnL6GZOtpNzkfnse1nA3Z/D1797Flcoa9iTaN26mQksBpMRVY0bictRaNoLzkvgrIP0sqTAkuT/P3R15/QmPItRJCRP7GUxk2lTyi/D8eEv4//DtzEt3Yx55RYWLFjC0pumzhw7vkPjiKfEuXMPzqAnkxNWVPYN6u7cX5o7/mCqaRoveLtnfYzBmPuqtENXG0dFUb1T73SNaIvt5zfP/pEU+1JKcpcSjvqJyDGyHYU4rHacXifLKzZgM08vv9OFvjZeuHwKk2QgzdAJzG5JKHrLStYv/Oi093/u5EF+e74TVdOD9MVUddiOaUiHqMVdh33mxMkw1WTAE5GnJbAEamuof2goR9dUk+poS06NruB5YqfHF6xrAgqpKVVX1EtE9QRZNep70aaPIkgS0hVxmBw7/mfc+o08OmFPJcmMLE+cvTkrJZ85SzdjyZz5smu4q43Lbd9CM15m0Gnlc++5jqKspczJd5GtelloaeRXHZsxqDJ2C/gCM1mWEjCZVLyOVLoy0xC7LfilECtWN7JjlZeuuihnzsA998DJmSU1j7cex9MOfRchex7Y82AGKSneCJICS5JrxnSnO7MkEp5MwzLD4wqSgdT3/RPhVx7E9/ivgQlinLyB7Bv00R+N8dGSibOgatNVUU1AmsGBqqmIzO4NOxab2EtnOkji1HY/14pbC3Io2vZlQMPlGyTVasdkNNPYXUdM1TAZDDy2/2sU5m5EQ8NqSqHH1UhaSj5F2XOZX7yElxrO0ujqJKrESLOk8tnNdwOw59JPX7fzSA/J3LQwG0EAoyBikYZCx2toCKhoCIKAhMC3T9TRHnChaiqqphFQ3VzoC+OPWPRIqPE2hzyjRts892zZwvXXz84tPXJOY+nSu8fdFug6Q44tmwUTaDgAXm5OFMoNttQJ9pyASZZNJclKJOKZcLtotKJGAzM73hBKlLzUG8ldfBevvgppaT5++oN/5sOfe5jOTpXTdYX0Dlj1+6TOXAvlC5koLhDxXrbQ22Whcm4IUU5l51uv58DBemprYdcuWLBg6rYmJGsubPnMpLu8mfSsSYElyTVBFIRpT7hWw+RLQrPFsvM+pLqjGNu6XvO2r4avN3ZhFgU+UpJDqmHin6DGVZmwIArirHMJAcPRfmfP1Q11mtt/VfWFuCdKlmMkGdzcgiGjzwWsnjcyQQ8GBqkqWkmWI4vdz/4Nz7VsxWgs4G9WXE+KOfHNWFblMUJLRAlz15LPXFV/x8MkQa7NNK2ovc39BznqXB53dxfJSNHwhXzURiREBD33Thz9yoy4xftNDcBYgUXTtOGlwSv/jjwfE/dta+FKHm8+MKnAYvZ1EOo6CKJh1D+jngFcEONxVUQQJQTEUWW6N1UkHMXnCYx49QsCxB3gFFkg6G/F686NbxNB1K+PIAjElAChplaksB1EUY9UIIoIkoQg6VGhZPyIBiOiaAAMCKKIIBo4dWaQd3z0RqoWqoSCArm5KTy7/52U5DRAzE7M10NxTgbdrhyi6gwztQOoArUH01l9eyNSqonSuY0submNP9yfjhop5P4vvUDM60SL+BE0jd7ndSF2mCtvy6ifY2H3afpedo+/8QqsmgKL7515/68BSYElyTXBFlQ4cqiD2pypvRRCUQXRL/P0OdcYy3kBCHbG0NKemKKV8QdNRZEZSM/nal5ChnC2tnAx9MsZ1WlXCnjQeSpBiR4ORvnS9o1T1lU0hUHXXrpr0mfcVwBL/yEOnzyN0TS9FAdXktMcoil0IbFwHLsWLSyjNJ+CrMTwUoK1kQ7XT4a/1yoa4pyKaR+/2lzCgn1HZtbpOAazSn3zcwSig7xl/jun3D8jZUQLt371h5GVIIvzrmf/qZPsWJcYpP4tiz8xpv5TF77Ps5d+QjgaxeZMpSxzfM2Z36/y2ODE9lRmo4lb145k8zUZBAYCYbLtU094q7LmcW/5ZAH1J+bhC+e4uPfMBFsFmtvM/OKPeXzzX9oB8Lo8GC0mzBYLwZgHJllJ8MsyETmG2ZC4PKlpGlFZJXUwipCpoMkRUOX4PwVVjYKqoKuCVNBUPVaQqrvEa/GytIZBGoTWEY2Rhu7ij4CqKriauzBrtXHPejX+T9/R2+Eh22/HFOvWYxENxfdRVFA1PL3VDEoX6WuT6UofJFWMsNjjIGwe4DfV9xG1zeH2/3mQh7++gbqafGwd5XRoBpxeC9tWK7z6agZGwUCMK4SJaZCR7mfNCi//8xE3KCKf/8/lHP7xcirnBDG5WjDKMv6MLDLLtmGz5dLWfZxIVBde5s+7dfLG9/8PbBtfKzaGhpdm1O9rSVJgSXJNMGpw/epCMgun47w5OU8eNbJ8Vcms6oajMo899CwXA9VX3Q9zZBmL1k0xEFzBonHKfnb89LTqamjYyysoKBs/B9JUpEhd2CvuRrTOLt18OPAylh2Lp9wvdKGJYH8xGffeMGlY79ZnX2DznBunffyzQg+3lo8f2XNqdIHw5ebnZlyzLGMZL537Mp09NbSfyOf8ZQ/5mRqKrCK3NaDlRygtqWLburcM13nL4k8B0ONyUic0snDZ+PdsKg/Uxw4nCjN2s4HoNMP+hztPcPDEuSn3ExBGDKrjQQbz7AKLdqycsI5YC2mvwIJtY9NT/PwxH30n9Xg9wUgE2xUaKZsS4/vOGsym0e79uq2MQRIocjtYXjx1HJeJyHY+Ru7G8X5pOscH+6lYMr6xfK29midPPc38cAMLWveTaiknpXQr9S376M2z0yuqtFRtwGctJsdmpi99kP/6h2V4IxqpUhqVWWGWe5qRt3bw3SP/wPFn5yOLCjnpEqfqKpBFMKf6kKIGvL6ZLZH6oxYiSox/8UmsCDXxp/f9ClvlTk5ETPScbaLtkJMaU4iL+/+X1LwUylNLsBhtOEMDFBetI8X2GoV7exOtCSUFliTXhNkknrsWCAJULlnDopVTx2GZitY90degR5AqTG8EUFESIuDOGDkKhtc+/sSVWBdXIFhM9P/0GboFB5ZMXU9mMOieEYgimighB6Z//RRNY2LRZ/qIMT/Brn3Dwf1GXnInSQIhGdhZ9i6qLz3OirV2noksoe5yOzu7mrGLMW77+Oc5eHIPv37gG6xYsZ2VC0fMtQVRY7DLRbA8iM0xO83WaPSrML1lvVU5y9mydvoC4Wiirz42pkyW4b77po71MSetiBvWTF9zdiVnPbNYLpkBkdDES4t2UwYDLQoNuRl40/8OW7APe8RF95xbweHg8PkmtGgh/REJJeAjyBJSs1v5l//H3nnHx3Gcd/+75Tp6BwEQAEmwk2IRO0VRvVpdcpEtW05sx3ZsOU7eOHbiuMSxnDiJFXc7cSx3ybJ6oUVJFHvvHSBB9N6vl92d9489lCPugEOT6AQ/fsC73Z2Znd3bnXnmKb/nrud56un7OVJbijVwBnfD+7jpJjtf+eduPvKog6YGHc2bSiQgETEM9NBYZ32B3S6h5qiE0i309rnoW34vfZUnSctNp3NFGvvaDTZlusg72cHs6z9H+cKVE7tRfwKYkMDy+OOP86UvfYnHHnuMJ554AoDnnnuOn/zkJxw5coSuri6OHTvGsmXLRm3r2Wef5ctf/jLV1dXMnj2bf/7nf+bee5NUWU3jioNJCz05ovmERB8xMT+QqUCyE7EhQJ7A1UuGBnJ8avJkILTRz+3rdlN38hIgYGExgQYPKUvKmL1wJuGghq7pyEKg6zqnTnUkfe6IIVAn4YfL7AsjpaoxAnRMUsZ4z2hEA38fi1IW8uL5ZhwlHaxfbCWc3kLloTrS97zEkqUbWb/iFv7p/z1Izt/kU1Josowaegg90kLlvmMEfYEBPqC0rHTmb1yeUAPVV92LvyuI199Lc3utScNvaHT3dlDT0IKvy4MhDHTdwDAMNC0CkgJCoAuBMASdLY10n3gz6jvWb0YZws4sjMEUDERFtn5W5tqLRLY3xOSYeXWnkwKLlf/4Qi+/fS2FI8026t8YZD3tjyfqaYzD6TEGXOgMI23/AyO/6ZcbigfR41ZJ7LoONkdiJ167M42ZuevInb8AIUFDcymfuGVQOjuwR8PX3IU1XEdBuJu9XRlcHTjACmMlwfzX2Hbib/jYX/075aUBJKmHU4fPsfG2Nlw9Qa5FJWtRKR/+VjEnT+cjGwaGGPntlyUdIRQURcdiBBAtnWg+L2uvLeP3O8+Qm3otb4Z7+WheF/fe8lEA5t0ZP3/U/0aMW2A5dOgQP/3pT1m6NJaW2OfzsWHDBh588EE+9rGPJdXWvn37eO9738s//dM/ce+99/L888/z0EMPsXv3btasGZ5oahpXPq4UDctkajNDAf/ohSYRQhgTuo9SwD2Y92gcONvbimP78RHLyLLEvI1LUNTBSKQ9244AMkZmOvtOtpGRbkOWYP6ckbNdD4UmDJRJeIas4TCOwpEz8CaCHfjIECvJSWcPBTOyaQlXcf6F4+QXlrL27ocGhBWAkN9H9ox8lq+MPWd7XRsHX9o+8HsOCk3mE5paK1DTreT4Q1TnVyIhI8syi7NSkCLQ7QmYtPyKjCzJVO7by6Jrb0CWwYqELMtsXLMWm6IN5myKploQgKnqkkwBSpKj5x/Ia8CxWgsr1xYiyxKSYqYB6Dsicd0DMPOmdG7Lg/PfgZk3DU+Dd/CNiWWqbs26mgc2j5xYdCQ8s7V63HWtDivn1TBeiynEFS3KZN++3+O02REC3lvyHQyHD+FbwOGQxFXVNi56bid9nczFs6tZtULnEx+pJjM7E0mqo7szxMfvXI+FCJ7uPioPX+SGLz2L69fX0XB0LXWtGei6+U7KkoEhJGTZwDDMfYYw3yNFASLgaDzNPe43SZEfwrYsnbCu8hezVtN4enReqf+NGJfA4vV6efjhh/mv//ovvvGNb8Qc+9CHPgRAbW1t0u098cQT3HTTTXzxi18E4Itf/CI7duzgiSee4He/+914ujiNdxuTqGGZCITBRHmtBmDrslG35eCE27Gg8MyhOt5zVRF260hRQmJCAothT4lNVjhG2DIkFm5eNuZ6G65fyZmjVew50srH7xw5428iaAaTomEJO5IXkkbD0sVmmoGGhr2ck99k8+r7sdpiJ3BZVbBYhzua55Xmk1eaP+o5KtiYVF9C55wsmXt5LpjxpXAAELZTWGzKwPNWU9nI2ROnuXRhFfffnz0uro93ChN5TJw2O5tyXNx5dSlCCC70+qnadpZipR4JQUc4l86se9nRF2SpczGf+LvFPPywwr2fg6LsXtIznLznfYMsu0II/vDDn1Betpju1gt0uOtZ65hLa55OwVofn7e+wNdfvo/eYBqaboaop7tCePx2rKqGzRqk15uGolrILbaQu/YuPvahuwDQDZ0TXReo7ztFhv6nSa0/UYxLYPn0pz/NHXfcwY033jhMYBkP9u3bx1/91V/F7LvlllsGzEzT+NODJElxte3vNDRdI3LwLHXNw/MEXQ4BhFpayEuPP8mlOCD7ttGje0ZDKXCgqh1fSBtRYDGEMU4GlX4kQwKWGCP1bTQsWjGXc5wcd/2AYRCcAMvvVKKkZD0FBcvYsvsb3HnNV5CH+AlJsjJhwr13A5LtNEd3t+Bw5tHtOcyFU04+vH4NT7ycMnGuj1EwQbqhUe+2rkeIhEMDoczSkLBmVVUGEo5KksTcTBfdabejZ5kM2+6Qi/wZGXxpcR6EQ7ir6/j8h6oJezRyZuRRscZ0St/x8gsoVvM52Pie26g6cQwjYLB2/s2EzrTw0CwP//qqlV+234hVNchMDVOx4CInKmdhy+zF6U+no9NOulNl7gxYuxaefDL2OhRZYUXufFbkgrvnAMIwMLQwQgtjaGEMPYKhRRC6htH/Z2jRbOD92zpC11DPVpLi/TlC10DXTTOiYZiflw3csvDgrBie+uDdwJhHpKeeeoqjR49y6NChSetEa2sr+fmxq4/8/HxaW1sT1gmFQoRCgwyGbve7x6o5jeEQeKk+vZu2prT+HSai86ff58cwkov8qWoO8/KQdyjuNByrYR/YDoeCpM1PpfSa5MI9z/36F2TeHz/hXvfvJk8N67CobK9sZ2VJJmX58W3smqZRc3oXJy6dTthO/4pYDBl0+xGoOU9px0/G3ce6pk5OGkfGXX93OEhDbWvMbxXLkZoYgbBGSoOPA53aQCTLEH9Z82Now0MODmRvBoKNEUIhk7e8I9CK4oqaZAYqD20slsMixtdFGlrP/J7uFry171nsVvMZF0LQ5+3CXdeErdZjhsgyRNMoBLm04HTaEtyJ5IRLPRRA1YabZvrRdfISnqbOpNryN3djSbWjVxv4SyuxzzHwexyUpZSjVl7gL9e1MXNuLhX3rkd1xqcoqChJ5w9vDDfLtF7qo2BW+qh9uHSpmh86mga2++9IIhqR/v39VHiV50M4ROJ7p1scvP72wejvIKJZzQcn5gs1Fl55/dJAw7KSSo5iOkwXKQJ6NQ79ej9IfSy6ZhEzF5RRfeE8vZ4LXNzyJrbcWaT4T5AqN6DlbqKntRmry0vPgmYa7Vn0yi1ous6nN7xGX0OArG5BxO9HmtHNojUz+E5fBXfmpg7Tpr5Ym3jJcdgzjwd2PEuKRTU5YhQVWVGRFAVZVpH7P1UVSTZZgy39ZWSVOuVqstbdBaoFSVFBMTltUJTBzOdReHftTnhv32mMSWBpaGjgscceY+vWrdjtk5sF9PIfS4iR1eGPP/44X/va1ya1D9OYPFjsgoUbyklLi0/QcOrUUyxZkiQN9BunWLtufGHN3h4P1Ud7xlX3cshOGy3//CMcSxeSesMalAQDeDJYXJrBopIM3jjdnFBg0TWFouJbuGpx4pDNkbC/w07BLe8ddx93btnLQ5vHH3nQcLKBx8YRliyEoMcTpD6ssGRB/iBDa1Th0q/BGGpy7Off6OfX6D8iV9yJ1TAZe4O7bZQunjOk3pB2YqQnEWvO7CdMGzyBuX2pm6sWbTbHqagviCRJONc4UFVLlGBMjso65rHOLd8h75bHxnxPhiLc14HlZGJuDM/FdsruGz0UvmXfGTR3AGdBFhlNJfibJcK9ATLDKrLSROlDm8heehU9Z2o5/9QOLK540TwCO1JcGpZZTpUVN62IcyQWrh3N3LZ+fCy7AD9iO3euHylKaeQIpldev8SdtyQuU7nvBJkVDpZeP5jlvHhuBXooQOfu35J/7YP0nvfj7emjYPGdqM58hB5h/7ZP0BB24ygoHqi3dE0hqyvMxdPRo8+xaN59fDvQy/MNR/jA7E3Yk0ylkW7UkZaVSXnG+Nikbdl5CIcLSQLZNto4duVoDMcksBw5coT29nZWrhwcxHRdZ+fOnXz/+98nFAqhKGNXYhcUFAzTprS3tw/TugzFF7/4RT7/+c8PbLvdbkpKxjepTWMqMNoa+p2BYRjjeibjIePu60m7ZQOh+lY6f/wUuZ/9ELKaXNv7DzTS2O4j3WUOSG53iIwMO7u0EFWH66K0UoMCukDg84dY5piYQ+OfIiRJQjfAoqooyhAfnHH/jKaqXrbasbgyJtq9AVic6eRljS1c3rAk1owkfV5XBkYgMd285BjZb6n2jcOIQATnjCzmvNfkP+mrP8rqD34hbvmsq+aQddWcuMdGwqVfvzrmOuNBMqNM9e7f49MUNH8fK27/aNJtH3p5BxkF+Sy9/qphxxSbA6GZwrCu9eH2X8Be9QskxYq/7yzFrg0sLr+G1ML4wpDfb0ZcZToyeHjWBv597zYsyixsVsswbdLl2609Ht4jWcYtsNTbvZz70A1oBVnY07LIveYGrr71kQSlr4wAChijwHLDDTdw6lQsMdGjjz7K/Pnz+cIXvjDuiWHdunW88cYbMX4sW7duZf36xFlKbTYbNtvUc0xMY3wYzVk0GAzQ1VVHRsYMlAkk6BsNhqbHUJKPjuFlDd2gef95ijcsRLbbcMwthVs30f2LF8n5s/tGbO21rRfRdMGc0nQeWFM87PgNcer0o62jm5MXGsbQ98nFuylu6oZAVq6cgTIe3q1AOEm1xA/HHgHu+ja6TtWg+UI4stIpvmt8ztBXIppqdF4O19BvxJMVyYyoks3UA7IiUXn2DPMXpNB34Rlqty5GceShyhKqLGNc7KMlfUg+o+ha68yO15m5eB4ZkkrH4QsIYWAYQ8LDDYEImNxCHu85CnJvJ3Phx5FUO9lA14XDRMKBhP22WgeFDZtq52/X38Cvdr7GPUuvIzNl5HxKNc0d1HWNP3XFHFsRzXfeR2+kB5uh0FNzftxtvZMYk8CSmprK4sWLY/a5XC6ys7MH9nd3d1NfX09zs5m/pbKyEjC1KAUFpnr4kUceoaioiMcffxyAxx57jE2bNvEv//Iv3H333bz44ou8+eab7N595djOpjFWSCM6Hy5adDdNTUc4e+5JViz/DC7X5EVzDIVhGMhK8pEynu4uLm3fjiQryKqCp0MnWNtDSmEGe554lrnXLiV3eQWOhbMIHDtL91Mj+7Wkd/ax4S/fN66+C10nHAiOq+6fOjTdQBmToPnO4911Kk98bzR/mMrfbMOWmYIkgRaMYMt0UXb7GoI9XmwZ8dinp+JeJ9+mEAIRNcUN/It+NwwDYegIXUcYOoZuIISOoetg6KzKEly/ptiMTDTMd17XhSlcGAJdF4S1W9ja8AYz5/0Z719Zgc3mQjMMIrqguy1EekXGkM6YH6uKb0OSJYSumz5NspnDyHTcNc198nFTw1a29kfDrslisxMIJhZYLoeqqHzomtvYdnoX7qDG6jnLmJkTn2Em1WnH19iddNuXQ3E4mLfxHjJnzx53G+8GJp3p9qWXXuLRRx8d2H7f+8zB+itf+Qpf/epXAaivr48hUFq/fj1PPfUU//AP/8CXv/xlZs+ezdNPPz3NwfInDWnEEd3pzKKi4iZy85ZQXf0aS5d+cEp6YejGAHlXMujNKMXbacHt89HU0E0k4CYjKwe1+QIZFge7f/MK9y43NYFZD985anvyU+NXi6tWC+q7qEV8N8UFXYgrXmAZFybpko7UdaO/ui3+QRGCFBWE1/T7sYDkC3H0tbcHi/Qz80f709XsZo6mY0nSxDmZKLjYzYGunyDLUtRZut84avLBIEkgycj9jqGyArKELCsgyRQ3CFyOkbW0t+Wt5/qrr8ZmGU6k6HVacGbH888ZnYE3PIJVQbU5iPQm9p9TVau5oBoyPqmqhZuXXY8QBnsr93PwwjHmzShjSem8mLppTju+4PiZtxW7nYj/neWVmgxMWGDZvn17zPZHPvIRPvKRj4ypDsADDzzAAw88MNHuTOOKQXI+LBnpBTRIU5chQo+E0cKh0QtGEczy062G6HMq3Dk3hz/sPUrWPD+2wCGOuqykZeXwxus/TlD7cosznE7RGW8gtCzLGBON+ZwA3lWTkC5QJ1tgmWQbjqGe4uzB9hHLXB4LlKHUTsq5S+bOZenm6yelLYAdWAkHw1iSSLKYPJJ7glxpWSy9684Y8sGxoLJtZ1Ll4gkrhmaMlKQBf9CHz+shN2fszuMWu4tIOLGGVFWtaFoAq3W4xkuSZDbMN10iTtWd4g/7XqcgM4v1c1ciyzJWqwVNn0AmdoeDiGd0k5KIareuFEznEprGlKG7rZqQx3zEYqjRL4tH9XR10lJXGzOhSP3lJAl3Ww9tDa2ErYkHlkRzUZ+7D3egF03XUJXRH/eI5OOGzRs55w0wOyedjywq55XzP6UobRNpPZXcs/6jFGWMlsJuENu3/mrE4wfa+/CH9cEoF8wvhgCfP8jF1lZSTp0aVEfL0ZUmw6eDyxVaZ3rciAvVyJLprypLErIEqteDtT+wBXkI4alp85eiYY0XWpvZcekUVtWCjIIiSyiygixJKJKMIpusq6oc5bSQZWTJLCdLMs1hP70RDUUCVZKxSKBcFjKZCLpmYJ1sHc8k23DSC8pZuHT0TNBD0bn7mwTa6xFaZIA7w/weQejmPqFr5rZmcmcIoYMwoty0AgkDrXdyaRzCioU9r+4gzWlHALow+VEMYWYyMr+LAc6UZGQ/b3UjnS9uZzit/qAYJ3Qd97laMnUNtZ/3R0BVqJF6WwuZKS68wSA6Bun2oRP7YJtqdz6ON+rGdsH9keaahjh+nh7vcF+xC6FGXhV7QMAH1FvIs2QMKxNoOYEcahvevgR6MMCJ1jRa+o7G9Lj/1nl8EQhuwaLaB475fOfIKY7NQZUCrCyALk8fL+zeQmb6MgAO1hlI22O1ZYOPuOBYk58VxeY9u/zR73O3MVvbjR64nBFQEPN7STJhh5tUxp+ccjIxLbBMY0ogNAu99RqWUjdmmGh0PwOxqQNvUU7mMvq6u4ZUjg0rLSxN4a2tv6di7XUJTjZCP2QDn62HfSff5Jrltw7s7zj6Bp3nj+LIjM1k7O29SIndSondXI09d/aHaIbGplnv5ybViSKP7ZVJd4wcMvhsTSf3zTSzqvZHx/YLDVl2C0tuvQYFgaEbGFEb/kgrnqHCwKbb7gBZxgB0g+hEJNje2Ma9JfnRMF0GP4fcdyEEFSXg9vWQnZZHRGiEdANdGOiG+SmEQBdmbhtjyHddGAgMGsJenmnNMusI0GGApCteZpihA3qkt53bat4mr6Y02Vsdgy2XWnCW3RKzryeks//tE6NOtts6A2yelxHnSCzXTV04k6VxSo2E8zUh5ijHkRQVWbUiRTk0JMWCYk9FVS0mr4ZqHSwjKwgkM4mkkBCSxIFt+xk9YDh5ePOKyK+YzdyCNFOolE3hUpbMBJamkDoo0CaDXwqd1XdvHrFMx6lqQlnZZG9aGmMaWQNk7doFp1ppcoTJWTqXs+fOsNd5nIrMCj593acHyh7Zu5uCq11YY7JBJwdD0+kLtZB573CG4dXAakYWSGv/+yzLb4mfy0cLRyjeuo+rb0j0Sw3ff+4olJfHNzWXA0NdpT3hbdy1anj0Uj8637rA+xOkPGjubqGhM4fiuaM/RV1dyWmw3glMCyzTmBJokTCZORUUV0xOBtH68BlWLUqSt+UyhCPzOfzff0lNS+OQyUpiwQeGh3FW7f5n2tpOkuoqwJmSxyfX/vuIbVderOXE2UpSMgZV6UPDk3PdTl7ZemmwwmXOA8U2WFs4OrnWZOJUdy9F5aNn120xuinKKWJmzuUU8Mmhs2o/HyvJHVfdjh5Ba/q1WMuXjat+Oc+ydPP4Mgh3HK7j4SWjC0qv1HYR0Q0sY3DqTisrp2DdXePq11BI6uQO3elOK1ZFJss1/mSZl8PmTCJbtQaugqwYYaW3pwv/3m2kSxq2G0soOLuPtgNN6MEStMUleMjg1//4CT74dZMUUdIEtXU/YW7F34+5j7KqTEjzZrfHN6EFfX7aa1voq+nB3eAhrWTkqJ8BSAzza0lYdAIKSFkaOSgiFu8+PUU/pgWWaUwJZFnB5po458RkwKJaSV++hPK1fz5q2SWzbsXtaebUhVe5ceMXRy1vyDpLFs9mwayx81QAPH109JQBk4+xRW+8O5hoaoep77dDsRDQg1iUJCbmKxwuq4I3lJjz55/3VpM6kKohEf9qrNGjL4kZVbYpBC824O3xovd4MEIRGk51cmqhYOHSFBq7zrGtoZF82wwM6wnW9c5EPXqWPscsfrh3O4YwmNOdwYpNYxdWphJbfvh7lt9yDWmhAppfribtU8uSqqcoNrRICKttfL5E3qBGVZvHjA4bwcdFkiSMKzT1xUiYFlimMSWQZHlSX4g+dzsHXvufaOP9NOkySjQzrcvqQkXFQEc3dAyhm2YKQzNz8ijJcRYUzjA1QvXtJ9h96HsgoNffTqYzP2qvkWP+2ntCzCrYNHKjVxySn8zfrbw4kiQNUK+PC+9Et4WVV4/vJEO1DjF5Rj8v227s6iE3LQXJn84fv/otPvN3f4XDPv4IMG+Ln1dej9LhDxUMhkp5CQSGeJT3Xe4gM2ZnAPDtA5ewXRb9YpElPnv12Mxzvzs0PD2AZ1cj1pJUbGWmVjFzbgmXnnuWzPe/F8fimXSHu/F076K2V+EXbfMoI4+Z82+mXdVJC52lxdlJ26I5fOn2u8nMNqkQDm6rGVO/3glkFmbT3dzBybPbueYv3pN0PdViIxIKjFtg8Yc1vv16JStLM/jAmsS/lyIrV5DeJHlMCyzTmBLIsjyp3uXLfTnMu22QZl4YBrrQMQwdzdDwRryEjTAW2YoiKciygiorphOooiJt/fmYznfD+jisn0KAoYPQBz79rS34uj3jvq53Y9AIG4LddY1sLB1OZDcUZgLLd0lg4d07d7JwR2awdPYc5mWYGpZ+346BLEUDaYpiRYTf9LzMuVPnSC8oYHbJ2KNPAObkprD6lsnj0Gjq8PH9Ny9wTjeZW8cqnMTD5b+eZ3cTkVY/kTY/hk/DsSgbWVUIyQHChLCnpkBbB0FfLzdVLGBt1Ql2NXuRS4pYM1dFiAjzim5i+abYuLt39zGJf/JN77+dcDBIwNPHnJXJZ45ULfYRI4tGQ16and99fC3f23aBXn+YGRnxBR9ZktAnEGX0bmFaYJnG1ECWBpK/TQYEIF+Wv2roGjCFkR3uAlLyfgYJIUmgqAx9bRRXAL2td+Jtv4N4eGEFj+8/hkVRWFNcmLCcNAr531RiosKSiKNdOH8evvWt4VlwxwtDCOyqgjoGHxaADRuuptcT4Myp8+MWWCYbqSlWrpuXx80rxpZqYERc9vulrCvECOpIioRkHXx7c67djOb3AZCbX87mT3wdX08HJ5r3ct/STBbfvpnqjgtUzIifU+vdYhyOnj3uXllRsLtcWKxW5DEwwI9NYBn+fvzmzcP88VQTWQUZiJoGakUmS++Yw4Vd9fjCOplpdjbcNZeIDlb1T4/naFpgmcaUQB6HSUgLhWnZeQp7fgahbg+K3UKoy0vEHcTak6TT2jsMSZE5dyxEY+f41NKKTYzox2IIeP/KkTUhycAwDH57phJdgCrLfHLFYvJdI/teSJMdVjwGmOkUxi+wSGLqV49h3cA6Djm4rMQUEusuvTOmjNYjbXg7A5RtKkK9jGDNXV1Fd9UFLnogNHP0mKemlip8vh6ErGCxOplVnDgxZ7+fhDB0REQzv+saIqwj3BpGlL3W39mB0dyIpJgOsLqh8+bzOyi7/QYUl51TlTUYhsyR9rNouoGuG6aG1TC/GzU6TW9fPpUlenaGP9PBttP4dpzu7zSSiJYbiBOWBvfLElKUsE6SJHo8x6k8ko4kyUiSiiTJyJIKkoIkKZyobaNnT/1gGLUYTLY5GKU3pNeeFhakvYXcVTR4GUO7PKTwoc6ZVJ+oH8xuLUl0pWZSmxfiYpuXFfox1s+eSfDNY1T0tdEit1HSpnHqe0U0OGZT5QzS4RlNOyzhCfj5wPhzU04qpgWWaUwNJImzx49RXVuL1WIFWSY1I5PCoiI8bjc1VZVYOiXyUzPJnFWAv6WbUIeHvA3zQYKshaXo4QiFaxcBcO7HL7MvCdZYEehmTuQizvRYjUtDTzXpO385vHwCXomh+4Ohc+Rkx6fIDgd0ypauoHxd+ah9i4fRMrr85+/e4tU4HBGJHR8HjzX09NI1dx5Op5OQpjNblnlw0bwEdYYjTdW42PQ7GntHTpvgqLMhu+YO21/qrWSbpXfU3sbrfyDcR1vDIQI9+5OuNRSv9p5lz0EXuibxP/+wDL/XQkGZl5Bf5UcHT45Y93RnG/BowuOGENR7QjT4QljHqF0ZirTmMHVbDsZMWId0iUj+6G22KwqrkzxPd50bZ5aDi9saUbxnCIV8OLPSUawKhmRwtqWOwvkbaQT8ukEg4iXbPjypntvbQ8PJl0ktWUlBwRzc3Y2cOPpS3HMKSeKq3S9x6ex6pChDrSTLplCiKAOcQpIiE2pqIiSBvac7KhgIZt52PQ67mQTQarEiKxKKoqAoUf4fWUZVze1zrafIWz9EMyTFfAz2KcHGaaWEZdfcMeTAUFoFEbNPGAJ0LZpPSMed2UJR0TqEiCCEjjA0hNAwop/Oq7ysWpRnCjpExxl5KM9UrMmwp80g7E4ne8no2bZXsJN7lg5G8H38xZOcbO5jbkEqDWk6aaEsPFWnSc9PIXThACWp5WTccx/preeZc/1d5P5xJ6uuHimbmYntlSOTI76TmBZYpjElkCSZ4qUrWHKVyROg6xo9bW001deRlp7OomXLcbrSqD9xCXtuOqmzCnBkpiXkeGiZOZ/rb4/PKTAUXc219HTPI29x7HCu7nyGGZseHNe1nDr1FLOWxM8H5Pf4aT19OfnS5MDw+bhFF8y/dnxcuQeOnqQ8N4283Bz219Sx2xfgjepabppdllR9m2xwden7ycpKHB4shKA1uIXCpcN5LGac6KWw/NY4tUZHl6+BKpuFdWX3j6v+Pvd3KQumsvvtHCpmRHj0ExdpOH8Ne/bAJ1ePrLH64bk3Eh57u76L3fU9zMly0ljnxjY/sUltNLjmzKf0+lhBt+1wI2uuHl2j9pMthzn08ujCXDioUVxYjqc3xNFznWzanIWrpQYj/yyt3makwEqOBVtpOrKfzNUFHG44Tae3hjl5G+jqrSS3rRXNafqz2JzpLNzwUdJSMgHIzhq5n4G6SzjuSSz49cNdfRFvbQ0zNgwu48dimKoUFiy28acUsFhThow7/Q79CQorwBAllcWWgis1/mIGIC2lk6yMkbmYhkJ3OmjvSo5yP12K1SL99O6l9AQj/M+JRto8Pt5uK+Df+/L5yKVz3ORLJ7h/P/Y1N5Dxnk8R0XSMcCTpfl0pmBZYpjElEELgTBkMa1YUlZwZReTMKIoppyh1pJeObsdPsSf3qKqqjKYPd/admHEjsWlCtaoolqkxnUg2G9IEcgkZhjGQQX1teSlry0s5UHuW7+7+Ntek5qLK5kCayFfE47lIevoHRjyHEDoSCSaLCTgXGEJPmqAs4vNSfWIHqtOFyXImUxRK47YbruHEXnjoXgjXHaZiVhN79hQlbOfV88ep7eqhI2zwr32XsKkKS/NSKM9w0uENsaOxhwXZLr680Qxh727zYx1nhnpgQh7XqTkSq1YlXoV7wxFqOjs5uuUYjZluAlaVBz+zgn/cfxo9bQPLAltJ88xkS9tOHrnxvSwuWk+my+TMafG2EtbDzC9cR4CdpM+9e/wdTQKK04nmTz5J4OWwOt4906Wmj2xS0TwB/G4vzrTkKB5Umw1dSy6VyN6ug5ypGj4+2DLhusWCRaXpLO1zs9TIpI0NCNbTqzfBCz9GGIKqtEz+1LL1TQss05gSCCGSmnAMTcfQdJPAaRJgURR07Z3LfaFa1Ck7n6SqMIFcQrphmAnihmBN2ULys3P5t/O7ebR0ASvzEkcwtLQ+z2jykmGEkKREiecmIrAYyIkEocsgqyp1b7/K4gc/BoYBQrC01rxvBXIDb/za4JM3qzy96xwQX2A51lRHu8fHpzcMsinrhmBvcy97G3rITbHyvgWFFKcOrpbV3m6OPnt+WJLG48E/woJYzZJhaNS2vMKqyE2U5a4CTcd2tIbW1CAFq5NP9dCPke7sV3fuo7mnj0KbSvHcdLD7SZUVXvzdb8itfBZ7XgZuQ6A50/iL6hDLH70NWR0kjCtMMRcQRtiDrvnG3LexwuJKwQj86SXiA1CVkX3rUl59iz3HWrnp83+WXHuqFUNLTvNxrcvOxrmjm44S4eiBV5Iql+zC4Z3AtMAyjSlBsgJLSlYabz/zB+bNdwxoA2IyPfe3EQxjklOPDNXqoK96Pw0pTkrmTSZ5eXzIsnwlEUHGwIC4CQRzLKnck1XC8Z7GEQUWYehI0shCgxEJISuTx446ePLknh8AX8iPkpGPpS/Cpd0tlFub6D14jteElYVZGfy2exmfe+ZOsm3nUFI6uHDsdbLn3ENHsI9DjTX0BSJ0+QL84023x7SryBLXFGdCcWbc85YaPjZ+IJZGve/f/5I+90ky2xpjNEwCyLN66Z65g7TKDkoipegkJmobCR29Adp7Ez90X90U34R4dPe/cs2KDfjPncA+sxwUC3n/769ihJWhkFQXurcRvbcGLE4UV/4Ye5rci6G6XOiB8YfyXqk41HYaR46Nnr7epOtYrHb0SHIalomGcyfrVH8l0QtMCyzTmBIkK7CUrZhLS+gpipZ9ecTy53k5qfNaU7NY/9DfcPC3X39HBJapx/gHCwO4zMzN0ZoG3nrlRYrtVay9agkBbzuOlPg2eCGMEbQn0XNEIshqojIT6LvQ0S6L9BFC4PP7aHW3cqHtAu6wGwmJwy//jtw2MOrcWKtO0lm+lJyM9Zw838j5lCb+6Zbv0Wb0UZAOdqcN90EHb3elUlhYxq0VK8hJceLzhzl+oJGQx/QfyMh2MG/5yP4p8R7XlD/7Ouue+i7pf/HVgX26YbD33AWyX3iS95SsYY/nGVoybFgtBTz/6tN8MPgggRY3uY4sFEOwO6WNpYXppKbZQIC/L0hjh4+mYJiesEZBmp07I2OPgrKvu4GS1eZK3zB0JCSkESjgJVnGUnA17q4DeFvepmTjT8Z4xuQmRDPs992ZFMUUZUPvC3nY2V5L/h2P4HLrVH37Rir+euuI9xtAUVWT4ykJTFjxcQVpTpLFtMAyjSlDsivklJS5k652tM9YFLtjIqSp7+oCY/z3pV0XHG7rwNvShkVR+G1VL7PQedBaTLDFQ7jUT8DnxmJ3oiiuYb+BIDK6hiUQARG/jxGjb1z9DofDNHfUc6r1PG2dL+AJe1BlFQRUX6omx5ZDcXoxBZYCJElibcXd1BgX2ZqqkDurlNLUuUjlVn6St56bW88StD7ADL8Pi6WVsHSEfMPKslAX1tYgnuMvcSn/YSw2lVkLc0jPNkO9a2p72f96NbIisWRDCQ7HyIKbP+ihp6UWf1sTkYKr4UI96RVmBMeFP57g+aqzWJfdTfPprVilNPIlF+2dPj776c9glS041qdQtf80isdHsZzG8XYPvrpuEAJHipWSPBcb0rKwRSe8uuracd3bflxuKkyEjJlm3iPDHycj8f8CGEIwGRRNEd3g9aajdId6ybY4qQ/0MdNaRKEznbert9OccRVzk8gPlDSEwK+FaOxrQJYkEBKKkJCQOHDiOO3BXnxhP2tXLMaqKdEy0YHMMEeVxqYmDp+sIqJHk5ZGPzXdQDcEumGYvi69GpvnJXYsficxLbBMY0oghKDl5VcI5uaMqnqMeI/SfLYWV7maMKlbVnsdJ7sTe89fFD7anIOZl129R3EfbB44d1V3J8cOxa8b9GqUBedjSXDu3j4Z2b894blrjrfgbzePD8o2Q/OqiAGuhKH7koHo7kmq3FAcfu45bLJMWmsb6bfcypKCGYQ0jU+g0HLgPCX3XE9P8xp6z/4R99H9nJd+wcy8v0BRY1kx+wKnEB0KqpzaT/SAMAxESEeOOkFHQn1Y2gtwN9UP64cWDNAiv9Z/JWbIqiKbHCuKTHr+VdjT8ggEOjh37lVU1XSYUVWFnJRsblr0ADPSSrApQxxphpjsDcMcYL974Q1uXn4aV0oWXW2X8FxzH4FwG3/c9jVs1nRSZ9xKqPY89pkLUKy3wbIPUJJqmjfC21+g7NryYcJaeVkG5WUZBIMRDm65iD0tNtJDGILUkJPtP/0ezlwrqsVKWv5MXDNmsrf+Ihn1bXTtPwmShP98HXd2urHWNZGzYT2BlBQCPT6snk4OvriLWz52DwDzNy7l5FuHKZmVT9koPl3evggHX9w+bH9sNp9YhOjm3NHEfguVgbNk5cb3yRDBetRD3x+xT5ejIbKPTa8lZy48X3WajufGl5OptrEP7a1xmiUF6L0NtNhfG6WcuEwjYd7p3nN+znb8jJAQvN2TTUXBLDxCILe/ycsds5mbF8Aj3NQqG3hj26X4bV+GpRd6CUvPxzkSO26IU2FqlJMISSBMmQUDQdjdw8VL2zEMg4ORJq5beBtIxkAT/aSKS1p9pCx1oKgyFkVFliVURUFWZCyKghTdnn1uZBqAdxLTAss0pgRWq5XFV11FyjXDw12H4yH8z/8A2+z7ULLjq+ETJ1E30bzv23xyzSND9twRc3zDCHX3nDlEWd4MinIT2ehHzhLta9vO6rs3j9LD8eHMz36E1lwHwlztIAxMtikjOnaJwZQB0f22SJAl7/3AsF7PSE3hWLeXI0fOEfYFSXEXM2fFCsoWfDDuuQu5fdg+I6zj3d9M2pqSUfuexqCjoRACoRsI3QBNR+iC9kvbyFl4HadP/57lyz+BOsYMxLJsknctVb1EUh8gbe2NpJ/+PmrvefSIG3XtoxihXuSVn8F1/XBeEQAjNHI0kt1uYdO9iZxiZ3Fkb4SV6y97xs80El5UiD4/B83QUDeW07ztHB/86GCItq/LjT3dhXKZYKIq6rB98ZCaVcyim8dKn795xKO1O9PZNHfyGMK2pKjMWPAXSZXtSHmSqza9d/SCcaC9voX1N4zf/HvmdYPCpaMxIsVHqCmXGcuWcfHsae6T29mw7Co6z+7CcBWyIdLFS47VfGTBA3zvdAvXrMjD4rSjWEd+zt2oWDePniG9zJfFvNXXDj+wEu7nkeH7L4P3ZDXzZ4/+HndbRtYuvpOYFlimMTXQdaSxRP7Y00a1744ExwQcPxVZRo8TCn0lwKbXop3fb67uJDn6KTHAxNm/j8HvVmfiiIvlawaZSRtOXmLrtq3cMuMuHOmu5DrUz/w5RkiShKQqGLJEX/MJ/H3NnG3azwxLgMWLHx6zsDK03YXly/mn7I0cOdvNvYWf5pEZ2RTZk3se5PFQ1Y6CqxbNpbvLjaqoqJKKXbbimBd7z1zZ8QWo/7t4F1mVbRObBhtqLtFwqRp3bx9bn/0dC0//C+r6v8TSch5XaAGX0oN8LF2n7sX9qKkOZt830vJpDP2eYP0rx5U2eUwLLNOYEohIBGkskrliQUSSI0yKBzXJENh4kGVlQpmlp3KoVYsrsF8/tpVn8MUfUHfgFUrX3JmwjKEZtF5s5J5Pvz/u8ZbKBnpaugAorCgmsyjKHDzOUU4IQVtHM/918B/5/OqvkFl+NW2GzqJF946vwcvw2dJ8qvxB5jrt5Iyygo3BBH68RM9MxcyyYfvOdR1PstUkb7Bk/oayOvkC17uDiU+fuqZhaBqK1ZK0j85kYPa8+cyeNyTa7n7znSoAhurm6noPMvO2VZN34isoeuedwrTAMo0pgYhEEvqjxINksSDCyYXzTTYkTNvvlYjxjElX3fUp2isPcXHnMwP7/O5e5l/3EFZXOgCyKpOSl8b3/uM/uX75NUiSHDU3mTCAxdeZavYLe8/QfKHBvE+aTqqawkj6AcMwOHb2IL2+ngEfIiEMctJyWTnralx5prpb0wIcPTrUVj/ogRHSwpxucZKdXjiwLxFKWpuwGa9R5Omk7PoPYJPjZ6iNj/FLLJqmoSiTPYQmGVljldHD+qQKLCkHz3Gw++zIhYY8j7rQWXffp0YsbhiGGfo/xYgEg7z2/X8no6CQrKJiHKnpzLn6yqJFS5mTT/uxKvJXJJ8eY0RMMFDhSuJXSRbTAss0pgRGIIARTF4Akax2xATSqk8oUZ4kX7mrlfGMKZJE3vzV5M0fTE/g72rmxJYnWXz9gziyZqBpGjvPHCCvqIBTbVW8733xUw8AVKwfjLgK+0PUnbwYt1woEGTn8bdACJbNXcXKnOGkVs3njgx8X706MYtur7cHOf04a+Yl41uwEoDKw28RDoVwuJJPlNkd6KV72xGTITcKTdNIz87EkeokJTcdZwJzWSjkoXvX2xxsPgGYyewkJAorllGyeLyTZXLPoWJV0IIaFufk+Rfklcxn3j2bki6//7kfjXjcoliJ6AFscpLmxnEiGA5jsdu5+ROf4dDLz6GFw5zbvT15gWUCiTLH8npmzy2l+oU9pBbl4cyPz+3zjuJKHfNGwLTAMo0pgaSqyKnJ0VEDSBYbTEjDMv7VgizJGIx/0AoFRst4OgFM0pjizJ7B4hs/wJm3niKcORvdkkpxcTGpqaksWJA806qh6zG+RkIITpw9RFtvKzabnWtW3oDdmnzulBExxmsXhoE0xmSEmktl4cZlMMSEYBgGnfWtCB2qDpxm2c3xJ74URzrLSteRde/mmP0Hnv/xBASW5CDbFPTg1GekHgkS0NfbTnpG/JBXm+okqHmxWUYXWCay2rdbTX8lR2oamz7wEQxDx+ZwJs0F9U7ykcy6ez0X/7CTigfjOMuOFZcJHN6qvfTt/BmGxQU9XTiufg85GxMvRP4UMS2wTGNqIEn4unsItLUPbJsfURPB0EFCkjBCEZS+DiRPV9zmDEOg6EOCNvt9TqN7vCEfze4uJAnskoYiydEU8EM/JdP58zLhJqiFwGvF6w1jRtxKsWpsKe7XwQ2rlUDQjySDIqlIsoRMNDvtFaR2dWTkcvXtH6Jxz9Pkr/0oQgiUaP/0SGTg/gzcpzh918M6WijM+ZrTNLTWIYTBwtlLWbYo2dzBSWJct81I/n4LM7pKlhW0cBDZ6hgIXZWA3JkFCIgKLlHBYGgC32j+acMIEvF2RbP3GgghCGt9dPsbzRBwYSAQ+PzddHR0DPN76WcR7f/s8vTR0uQ2n20hIUkCWUhIEsjR00oS9HpCHHcHcPX6BvIJG/1tYZo4hTBNe0XnTpFis0evOVpC9GckFmb6ByE4W9tM3e7+EHKBIQRCSAP969cgDdyIrKX85pc/x7j1Wno1CZcssAx5bZr7wtRFjpBqSx9V9kxtOkfr6z8e3NH/MyaqOKQb2qVzvLj/Mv83K1w4ED+T9OWwVEmkRGIzkicjK0tATU07ja9vSapO/yVF/AEi24/HKWG20FRdT5EcZxwcCK02W6q+0EbPi9vpbO9Ca9rD0vQmrGlLSLWVEfQ10rnnEJe6CmL6Zd42c8/uTgeXDh0Zsj+2n/3u9Q2GzN+Ocm3vFKYFlmlMCbyuFHbpMmW1DUNWAtHPYduAlIbdGUJqPhuXt+Xl6g7uzs8wB2chBgbp/gbs9hXsrj2PAFIuvEBJxVJzshBGNATYGHhR+9vo/97c7qbdu46mNiuGIDpQx7sqMeyrAHZq++k91h09n0AXxsCEOBIEgrda6rg29aa4E60AVL2I+u1bB/ddlrGgoPZF5s0qG+kk0QqDu4yLTextPUDoUhM51i5S5uQNNnzZBBqDM0cQrS20llhpX1vMjAyTY6euro66OoYJGd2eJt5z/eOJ+zYixi6xnNGK6d63lZS4UR9xboQkoWkKB/afRZIU1LodzC8rGSgvSZBtOAjt7hk2ove3ElSeQjvVERXyTKE4a34Rlzr2mUKrJCMhkWbU0tLSEj1t7LVJQ4T5Xb0h0rr8A8+3KYhgcm0gmfIFgpMijCvfybziVMwpzHxrlGjf5KjgJUmwrw5uWbt4oI9Sv6QvySD3S/4S1Vvf5JpVy02enGh/hgqucX1RNpsRL79v6WZlupPZzqHateTz3GzzaBQsGZ/WoW3vv7N57d3jqgvwnLGFmevHGiJuolHumlBIdTx0yh4Wblo+arm+iMKam5bQ2tjO9h+3ckAsRHerrFSXMP/vP8hoKWXb9zXwnlWjhzW/3eVOsudTj2mBZRpTAkOWKV+xjGVp4yODuhxbgvVUXJWYm2CoUeNkdytLl96fsOzlmNnRRmfTJRYuKxtX39oPXM171twxesE46DvyJncsWUGKdSyOooM4ud0Dm5K/VgB75HlmqWlcON/E0r/5KKpzdBNOcMfzSGU3YltzM4mzD8XitRe+zrM7fw4M5i3xal2c9fxs1Lr+UICgdWxJAX2Si7nr7yEndWwZrvunmxPba5gzxnuZdvQkaSs+FLMvHpuP0hdiyZKlo7Z3skNj6ZL8UTVFzg4PDZ4gZamjPzdqigtb9ug+E3arFattfPQAdlnCp707JipVnpgfz5WjAx0fCorzeN83Pj32in+CFz4tsExjSjDZ/lx+Uc939x3DIg9/ZI2o9sR18tfktQdYevVDY2rb4cog4PeOv3MTMPtk2FPo8nnGLbCMF0UbFlH15nkqn9mNr8vL6s/fM2J5uWguRtO5MZ1joW0GZZseHVf/unr6OHHq/Jjq6IZAVcb/W1wJ47ciS0Q0Hatl5KHZpkhE9HfXhwWgpbeP/dU1VPf0ch44k25qfJpqbTz1gyKcKTp3fbiVF3+Rzee/fynhPQ5EesffCUkyE3WOM5RZMMmD1TuFiXb7T/CypwWWaUwZJtN9oywjhc1zlzDDmZ6wTI09g5oDb6Ds3I63Nw6lfb9a/7KOGQLc9qLxd24C0lmmw0WX30tp5vhydeja+Lhral7ZjxbSaDrdRunqxJorvbuNwJu/B93AMmtQ45G0Q+N4Yeicrq/CfySA6b0hD/ofRfMbSZIcPWaaOs43+5FXjP93HN+vOLn3wKIohJMQWBRJRk+yw5M1LwUjOntbe9F0gSJLOKwqW/bs4s+uv4ZV3Z0EAn4qFpv8yudTYYsKtedhgSuHfzvs4YWvbuDJJ+O33eV5Ytz9ki1OQqE+7I6s0QvHQbJZi98pJJ8dObZcX3sbPc2NALi7Oli46QbUkbiwrqzLTgrTAss0pgSTLby7VCveSACIL7B42pqQQhGKl22kNrOS9Q99dkzth597exJ6OXZkO1Jp943fRpxVWM7J7X+AsJ+ceeuYUVoxap1ARw8XDngQkpnXp/FYExg7uHwEk/oayacW8hehZGZiODPxvL2dnmf/gDUvn4J//PKI55mIls0qB7l1cSpzlm4AjEF/pIHv+uB3DIShEwwcxDkW0rhJwcgXef48fOtb8Nd/ndzNsKgy4YgGjpHNWqoMWpJkh8nOS/2Ou3ICQfR0l5fTrV5q63q5f3UJ4aDGmoUrOXSsklWzCnhz5xE++qkiKs9nYrVAT6+ErsNnPpNkB8YJizWVcNA9boHlSsN4FgJ1J4/TcPYka+57Ly9++xss2Lh5ZGGFP0kFy7TAMo2pw2QK8HZZIThC2vVTO5+laPVmnEJm+ZJ1k3jmJDABTUOW00VlZ9O465cuMh0b/X2d1FSeTEpgceRmcOt37hu1XMtbrxJyXIu1tZ2DLQdxVUUw0lNoWp/NPbf95aj1w6HxMxcLIVBkFXkM/gmKmoYiT92y0Rv2srt5NzIyN5X2O0pP7vlURUZLwtRjUWQMY3KnnOYmDz88Wh91Sh96xNzQDMF7FxayNWywMDuF4xeeQ/f7MDpPca5lNr07ezA665BCYSJGFoGAghDQUA/WKRQkVVsKoVDflLV/JaNf05mWl0eefxbndr3NDR/9CzILR9c0/gkqWKYFlmlMDSLCwKNNXn4eu6IS0CMJj6sWG6Wlozs1XmnIdabTG5yA/0wUVkcKRmhy+WAKb7iDU796nrJrruLV2t3cveFuTnScYE9TJQ9kju7EqSjjp0cXhjFmQVCI+KHYyULREudg0g2dv9/99yzJXUKHv4ONRRtxWpxxR31Ng/e9D3p7YSjFTb+2JZFZBECVZcKaNmpfVUlK2iQEUTPD0D8YCLvWhYEwDHItOpvKMhFCYBgCQ5jZsIVh8kAbuoG/q4ee7j5O11ioad5LWp4L+4wIwZ4+XnCvoy0wk3kLDE6d8wHpWCyCinkR2lothCIek/1YklEkFVmSUWQFWZKJ+HrRG86BxWFy4kgMhNibObKICbsf+mfXDHo7m1GtRQjMzMUD1yxBOBTAUAav3Rj4NKP5PF0eOuqT0XIO/7F9vWFaGzsRAkKKwLCYBiZ5yB+YwViyMD+HSoM17hokSTIzj2OgGzrne85jnDe/D/wJ89MwDHShI4SgqquTC68qOG39TvMmK3TV6SCcrh71agKHd7O7O36y2aFBcUF/AB4YfxTWZGJaYJnGlCBTg67zXbzu8gzE818+vg7s6+egaGxAzou/ovboGmne83RIO+PanLsuteJ44YUEvRlpEjPPvbfPQuXhuhHKJcZejxXj3NbomaK8FdF2E223N3q4ymU62na2wzM91THzc9ulk+TOHB5v0tTg4MVnivjU56Nss+06mSVF9DT7WGytp/2t50ftb6izncOv1YxYptkbor2jj6vXpJJaNot/L/t3ANYVrqMoJTk/ke09qRzdsheIDSru/z7LvZ+SjKHOxoM3QAv04CovT+o8/Qj1Cf7wxugDdTwIAUt7u2l763lae9pQi4drhz7unA0+H3XdQS7uMbk3QhJ4T74cU+7o012UZCziJ1/Zyy//sIgXDlZw52238OXP7OLtN5ZzceeWhP1wN/bx87rlZKbHT37Qr/0IhTXa3WEsodG1MT2XajjYfXJg0h8kMYqGLcsysiRz2nME49xs5KipUJJk0zwkSciy+SdJEmkXT3HqnJe0mflYdC+ZhxaTby9lXU4Pvw2G6OrTkaU0VEWgqhqaEUK1GHhC3VzoPIxh6BjCnHiPHtuOLEuUnuvixg0rQAsiDH3wQvv5Yi7nkOnXLgmBpaULI62cNtEUG7UuACTcB6rRV7iiHDtSNGx7MGQ75VIEd1Esy3Zb9Um8PW3YUzOxWO3klS+Oe29nlpbQ1+UDYF9NLxXLMjGQzFQfQkKPstcYA5+mz5z5rkvsbTvJB8uvQZbM30CRFIrXFWNRLaiyiiIrA3+qrKIo5qcsy7yaepiK7Ezm5c4Y9RmIh72d51h/+82jlvPu2j2u9qcC0wLLNKYEFgG3zszBWpQ8221tcxNlq1aOUCIxe+hubQtLbrltDD2MRdXRE9y/YnxcDEatjU+XjcZ6EIunA43cu6I47rHz5+HJx128sq0gZt+3vgV/93ewcwu89nQeTz4Jb/30JL/65Sx+8C0fXWfTybt+9LT0AP3sC4Zu8NqhZnQhkCFKNiYomZ3DHXPmsuPsrph6FsXCfRWjm5MAKkpzuHbz+rjHvJ2NXDxygYJbPhz3eMRTR6hpbAPlApfC4nWzx1QnFo8BcGTnTm5fm5iifufB17h99e0Jj7/wvVNsum0J2UtWsSkMj/8IvF7YfuoaLA6Ys+nBhHUjJw6wIX8G+QXxV779CGs6r2yv474Ez9BQ/L47kzU3Pjxqubqdghs2jvT+mbC2XsCZ6+TAC29gmVmI6nkDS+m9OJTDsHs9VVUzsMhhNF1C01Q661QihoanqoXqn+2IicpZnj8Pl64Qaa7EsfmuUc8dtz8NbVgu1pG25Kr419UYpHRFYmJD/dLbzF4x6PR+btfbhM/vZFbZHFJWV1B/+kTM8USoCshsKBud12QoLgVnMq9wfLmF0mxO+oKJtYKj4UoitUwWExJYHn/8cb70pS/x2GOP8cQTTwCmGu5rX/saP/3pT+np6WHNmjX84Ac/YNGiRQnbefLJJ3n00eHhj4FAALt9kmi+p/G/GrIso+tTkYxudEyN89pgq5oGn/0snD5tfj9yBFauhHvvBV9bMa58+PTfufjWJ910VXWTPTc558OIpvPbt2q4c0MJ2SnxnTwv9PWRV3Ocoe4SBoMLWcmkM4shOuvXeLf7fQnP3VZ9HCSZU9v/EG0hetXuZjIq1mMEWsi0jzFp3hUy/s5Sz7DnF0Eee2wVHR3mb2azQXPz6HUVBHoSF2JRZPQkvZpTrcnnVhoJvr5ejr/+CsIwyCieQWHFXArnLKFg81VUPfV7Nl11Aznfu8QPP5eKu8eKQwrQ2+XAF7JRXBAmN2smK0quQ3X0c70M6tuM7MTm3tEgO+yI4Pj9pS7HvA2bqGmqhPnzUVSVq25KciE0joFgIhFKmY4UWj1xoiEnHVeOe+64R/dDhw7x05/+lKVLY/0G/vVf/5X/+I//4Mknn2Tu3Ll84xvf4KabbqKyspLU1MQvTlpaGpWVlTH7poWV/1sw9PH7vFgsCr097dgdJlHd0NWDGf4aD2YZAznpiIt4mIzXeajfQ0EBHDiTyrNv7+IbX1jMhXMpZGaH6Op28OxzJgvvq69KCAE2Syo33WK2UbCmkJqXqkmfmY5qj+8/EghrbDvWSkQ3kJC499pS0uyJHVubsxaQl5ESDSeOMp4Oue5+Q1f//0PdULdlJSYNnL3mzrj7+7o7CHp76RI6zaSzzghBlDG2P7Q5ESaLT0MSw88RCEf4xzd/w+ycPDwhH929bgLBcNRSIejr7eIH558ipSGbRVILL+y7EXdQY8YMjdZWC/n5Bhs3Wvjtb0c+t4yOLkYX1Ma0Op6k+ebgC79n0wceRYlGn8xacuPAsdx/XMz+r97JjcXZ3P3Rdt7/6u9x14ZZfVMvwd4etu6ah8U6A7g3btuXfj0B/hy7DRFMnDhVtqrUbjmIBNgL08lfFqvRuPzMsqxw/Xs+iN2VvHYYmFSfvWSQYU+hsqNx/A38X0l+6PV6efjhh/mv//ovvvGNbwzsF0LwxBNP8Pd///fcd5+pNv7FL35Bfn4+v/3tb/nEJz6RsE1JkigoGJtafRr/u2DoozsbJkJKWistLU1YbNkxL2Isp0H878d7LrK0/JFxn3syFvYvvABz58I3vwlf/zq8/qad733tGlYvh5AXLl60EImYK/VQaKj2ReatP4bZfL3GHTcGcUgWPlr3DPmrb+Z7P8riySehp9VH9bEODre7KZqXybXLCkYUUoYiw5lKXub43kuLGhhznfSsXNKzcgm0tnL82GukG+1RQSSa7uCypAxD0VhnZUnybPBjgiQJ5uYW8rFVt/D0S9t5bdcJinIzon4Q0L5vD3fnptG3cztq1lwy8yLcvLqH002QkZlCZ1skqYgnWeiIhAL21GI0gc+RkjYgrMRDe88sfGlr8fv6+P1Xu/C4e2hv7aRLbqVxdzMOBYI2jbDTMahZiMrBfcEL4+63ZFUxRhAWSoZQ59dtOQjLYo/Hu+qxCisAKer4nczHg0yHC094/Cah5HGFqC4Zp8Dy6U9/mjvuuIMbb7wxRmCpqamhtbWVm28edOSx2Wxce+217N27d0SBxev1Ulpaiq7rLFu2jH/6p39i+fLE+RRCoRCh0GB2X7f7ysl3MA1Mu8EYQ0wt1rFRqg+F1ZpOXvFVpGYk58MxFOH24zR6D7GQ8dHrS5icGGq8XCsJcPkgWVUFb78NN94I2dng7pU5cMjg6DEdr1dFRBVAoTgJrQOawt7dEVDsWKwu7Hn38TcboLbSxx03GHz76x7OWgwiKSqpWXZON7pRJThX1U1WpqnF7PCEuX91Eenpk6fV9LT4xu0E6/YGWDRzE4sXz0m6TmDXM1Q+vTO6FSd3UBKorz9JeMXCYfutioohdM6fbKWuMcyNLh++6ioc84qpbHiWtkAu9Q0CZXUBt2u9FFYe5fV95ay8Yw8v/+gRCFt5+alzBEOFHDrxAlaLg6sWPDQsEkrBQCfJ5yjZBXKSt2DU5kbR6lTPNNhQUUy+ax7Zc1IoySjEeqKKfC2LyMUfk3Htn9G342WsC0tIX3wzDksmErKZM6vjqJltewzv0EC3LApMgPU3eaK2KwtOi5XgCJGTo+L/gg/LU089xdGjRzl06NCwY62trQDk58dGN+Tn51NXlzgCY/78+Tz55JMsWbIEt9vNf/7nf7JhwwZOnDhBRUV8XonHH3+cr33ta2Pt/jTeIQhD8E4uFBVFHbdJaWneMjp9LeM+t0OW8eoGGWMYbE/W96B2DUof+45m0e22E5Q97HktDWFYkBUDj3ukVZvpA6BpMl1uFwCyDL9/xmDPTo3yOQ4q62QWbkhlIdDbHSSk6YSFIGwYPHRDOY4oP8bhum46+kKTKrDMKUrjgSScQuOhramL3o6xhWnPyG0ky38M+wNfQHYlZkQeCfW/2c3dN1wfs++PO79GmiOblFYdv6+djyo6KbfcTXjHGxysayPbUkJ32hI6c0tIv9RKX+kJPvRnu3jsb6/lzZ+WYlNVwhGd8rkSs1SdrJTZCDnMnsM/MHk0kOgNdqAYAkufRJ8/j7YeD8IQGAh+9OZZnLPymGFVyFElUiUJqyzheodNEKOhJH8Wq9+zieZ9p5EcCmqajS6Rhv77b5C5Ipu2hjoau9ZwrjmXuj3Pcuf9G9k82+RMsjjSEIEAkss15vOOZh5r3nuaQFsfit2CI3/4c5GIKG/M/ZiUVpKHLMtxzTpCCHTD/DPD081s97phENa6QVIwDIHP14uv6Xw0u6ZmCm6GjjBENPu4DsIg3FFLChvf4auLjzEJLA0NDTz22GNs3bp1RP+Syx+g0Wi8165dy9q1g7rcDRs2sGLFCr73ve/x3e9+N26dL37xi3z+858f2Ha73ZSUjM1DexpTB10L0n3yMEpm8sRfbncDJ3clzlfT0uIjNTX+bxzwVpNRVou1OT4/SCDQRG5u4mfW4/HzUq0ZSiqA3iYXdkfOsLDkfkhIA/suhII0OR1k5CTv3JiZ7+KBdbMGtisPQuVJaK+3kTMjQludOYjYrRCKmEKLGOZbMdzEJQwBskFjq0rECKILgy07j8XtQ9UQLXyfB6rTVNKDsed4q9eScCAeenbpsn0S4PaM3STUD0M3BrIGJws5Pxs1bRmhl7+P0IKo8zchhI5t1a2DfQ75kWyX+dboGiLkA5sLpesce/Z/BxTLwO+b5T1GeepqClKOkD77Ojynt+H740F8+YvJU7ehZZUS6mwm/chxMpwuaFmKamvic7/9d9Z6L+F4USBcqQQyM1GtxfzmoJOKdcu4eqadlr6TAKRGc+s2yefIUJrJcC0xMy7LEp9a18xLcoRip8SWrjQy7Bo/WXkDlb/6N9rfqo1exNB7FfusFtT1clgd3cGzpbWNZ3f+PKFuKiz66HrrV9EzxIbpA+gu811PLcmjde8ZXve/xQXPKpYqGcx1pGNJE2TP13ggy41v7f387tn/YVv4BVauWUm2PYNPPfEGpS6Za3MEcxNaZGID5PvPrp+pQXoufiXJEyAomunq6MRy4hLdZ9cMaQO06lbqHbMmJHHo7X6MTJXXT47sWZ1Zvwt7noxQbQigJNDInkNDfDfjKHv673XY20NzqxtH8WAAi82by399bwuF8wb9cszodcnkfomGbsuy6SDf3b2LGQvnI8syOatmEmytNnMwSdLAJ5Icsy8098oRjMcksBw5coT29nZWrhwMfdN1nZ07d/L9739/wGm2tbWVwsLBsLz29vZhWpeRIMsyq1at4sKFxHZNm82GzTZ+E8I0phYixU/qumJSUpIP2cu7euTj0qnfsWTJe8bVn6NHn6e8PL7DH8DljB+nW7ezeMWypNq+rqGd197cQW1h9iiTu4EQkJmdRb6jmZcP1w4c8ah5qPZcHnivm92HHDRXz0DDit0SQVFA6HKC6JFYhhuBRERTkWUIhZ34/GFu23RNUqRl8SCfe4NPlY0e6hoPL7eOX11tGAJ5jAKLEALrsutg2XUIvwet8Tza4VcINJ4zE+TpOiaTmB/haUfOmwXCQPg9kJYPPQ1snL+aSPMegnPWIoTGeU8javm99BWsQ89YhMeRy865Dly2G9FlKzMiD2CNhKna9QxzSjJo7emh21JLZVo5cshJR5vBwuXlZIbtFJblsPKOTTSfaSfV4uEnjR3828pPxlxDk+sE4bCf8iEcPHNm/DlLvGeRZTs3OrfioJS2HU+SOaeEvA2jh5hnbH8B6/prRi3nPuDlujW3jlouEZ7d+SQAqcV5WLNtLD5yjPsXr0G/fRZiz6sUrnwIeZWMJ9hJoT2HL39u0J1gz5k/8J5bZ+GwWgkCJ+O0rwOPLImfK/wUL5J5T+w1Hm49TGFKIRd6LtDigVTbXHIdGznprmNT8UZSJT8prgq6f/caWTePj9KgH+5t9dydBKVAyJuFdfFqpGhOtGVjOEe4r4O+U2+Ru/F9Mfv3PbefdTfPSlArFqf317J4/qoxnBW0rgmYnSYZYxJYbrjhBk6dOhWz79FHH2X+/Pl84QtfYNasWRQUFPDGG28M+J+Ew2F27NjBv/zLvyR9HiEEx48fZ8mSJWPp3jSuIBhGCFn+vyFQ2sNhbi0spODa5Cb29oZGeo8e5o67vwDA2cNPMvOaOl74n5t56ddzychoM9kyZQnNUNE0hcQeBvH0HKAoEJ6ESM93K5OtMASyMlab4pDIMGcqlrmrsMwd2+AM4DvkIXvp5wA4X7mNtbmz8AmZSNpyeoXE8XAany7LQZYkan93jpSsCDcWL8Znb2e22oglK4tDPSe5kFPGI6seYGZaEWf3HWL5tTdS3+MnYghuL1pAJNI97NyqaqW19QgCndSUAnJz5yBJEko4A2/DaZyUE2w6S+ayO0gtSnYx8M78hqHGk9Ru+W8QEI6EyE6rRK3/NSpwdo6X6os/AaDHfZ70lDlIkjyQI+qYp4uZublYEtASZNvSON7SzqlTx80rippCJEkyTSAMf9gFghcuvsDu6krOd9WwzLGSjGydzLQwO3o1cjLXsi6rdwR2pymAbAExPo2F6kjBCA13sjXGEuH4p+muM4AxCSypqaksXhzL+OdyucjOzh7Y/7nPfY5vfvObVFRUUFFRwTe/+U2cTicf+MAHBuo88sgjFBUV8fjjjwPwta99jbVr11JRUYHb7ea73/0ux48f5wc/+MFEr28a7xIMI4RqGZ8fwZ8aTArw5CfXvJJiFr/lp3HHjwCBdrEVJ8X89MEf8/U3Ps75ukxKZjXQ1Z0PESuG0DB02XS8lQQkDHsdHI0iEZNXU9MV1m30s2KZHZJ15rwCEIlE0MYYNaaEeifl3OGQxqlTTwGQGezgFbdOsb2Ya4pnUJqZzm/OvMaPj+9llrMIsUyQ1dNLs3SSUPNJ7tCyOeax0DrDyZa9Dew8VMPqMoX5oUKuMgyeOt7MJ1YlNl3n5s7DarUhhKC27i3qG7azcsWf03PydTIW34gky6SULMGROTKxXCzeGe+K0opZlK36c2C4G0Dv3m/xnsu0SUOhVP2Ia2ZtSug6UNtXS26Zk3lZN8Q93tA9fK5YVbCKVQWrCLRV8mC5i0BE55XKdj5yzSJ+09zFZ8oLSFUU3ok4mwFIKhjjW0nIFjsnqupJFa9jtdoonTsPWZYxdDOku/VwK+Ge4V75Q41o7wJN1aRi0rv/t3/7twQCAT71qU8NEMdt3bo1hoOlvr7edBiKore3l49//OO0traSnp7O8uXL2blzJ6tXJ2YnnMaVDcMIofwf0bCYrGpjmxScgUJyr/0LAIqvNfflHzvG72a8ykuHZnLOM5tN73udQ5XXcPytBmYWH+J//vB+hCGh6TZ0bbQQSgkZA0lS+PQnnmbnm7lcrMtg94WztPed4a7l3+aZk8foDQz6mcTzXdCbz3AikJjjIh66In2okkJmn0LbW1ZE2EdDux+RMXdIqZGXeu4eN8dtGRR19pmlxeV1hid7yPJnUbj9WSRAPXOS8qKsYVcVqrmEbQjlv2FAIAhuj0F6qozTCVpnAGuqWX6xls39D99ERNf5z8OnUCRYlXUt1ad3k+/qxZWRii07l7RgOtd99Bc40vLpfOoNbEfr+VK5i87aSmoJk5rm5xdPPo00t4JXajS8vmPkFZQNu25ZlsnMNNX7WVmz6emp4+TJX5LrPo4r96Mj3rOJYqLaNIEwzW66jnvLFnSvl6yHTYbdLHX0MOGR/BzL0stGqZtYGP+bW0xNVEtfgDbJoDYQ4l/mFg+c7x0VWGQr0ngjeySJsoULKV9/Pd3t7bz2/HNYLCrhnjAlW8rwtQZY9GhiglaA9sO14znxuLo7FZiwwLJ9+/aYbUmS+OpXv8pXv/rVpOt85zvf4Tvf+c5EuzKNKwiGEZ4Ck9BEXpypfelGUrBE+vpo3r2TcCjIzBtvxpYWX/OUtnw5LF/OhzV48E4PB7+aSbZaR69s4fbNPWSm+ejuSUFSBZJmRF0O411XVF2uQroaZK7dTt06C9Vds6huqiKiz+GJt3+LJhfwd9eP7LOwY5ufq1YkpqG/HP996r9pj7Tzdv3b3DfnPjYu+yTB7maUc3vI3bA56XY6mpsxGt3cvDq+z0J8LBv4tqXFxcJ7hl+b+9v/RsY9nwOgu8VH/ZkuLLkKTZU95OWlsezGmQzNlFT19O8BUCSJ60oKKUlPJc/lpC83j0gowom3DpJTloMznE/PoZfY61ZIaRYUWkKElQgb33sn5OUgW2xUnzvD3HmlZObmcvLkMZaWjZ5VPDOzlFTXXQQZvwPzO4ne4+c5/9MXcZSXYLS3oS+pIXdpOY3dlQQDPdgd8Z3iJw6BoRuc2t5EXlkahbOHv2OF6Q4+vzpefqp3cEKWVDAmwOorSVgsFiIBHxUVc1l3402c/dYrFF1bhMX5v3+B+CeuIJrGlQrdCP6f8WExgiFElCDFMAwuPv8HIl4vkiKDANnhoGj9NVhsduq2vIYWCuI5eRR+8EMkuw0lNRXD48GIaKiZmaTffx/P/zEVSAXy8XbVs+tXR3hsrk618z2svf8En/zkQ4R1hSjhDbKsI4SMJIFVjZDmiuC0BEFEEKILufMaSnJm8OHNY1yla3GIX0bAny8xTQJfWvOlwfuj60RCY5twAxEDh2X8Jiw5gUO+nDK40rc5VdLznMiKxLUPz8fmMIfDYHUzwdM1CCEQ9X4uvX0aAWQAHjrwMKgNyErNxCnboWAdASGobmqmWzmEmBcBJDj9CgB57ggz+xy0trTTLsto3gM0N/aOeA1tuowoykVoAZwNzVh6nxnXvdC7vCTj7TIRmvj++qlL5+NfL5E5LxObQ8VIM3+HNfMfoLOrkuLiKWL2QyLgjdB8sZf0PMfoxYfACL1zUTBCscBEuFOiuFRVxabbTbbozM2zCLm9UyiwXDmOL9MCyzSmBMFQN62+jgE1sxAD3wYyNA9sX36s/1OPkBdoQ1HN3COhvlZ66s4OCXeVo8ln+6nhoxOc3D/0Dmaldfd6qGk5jaJYzGy00T9ZUsyashLdNvd7/DpdvcEB7jtJIprFNuoJIjGQ7TWCDBazj2d/+XPKbryFlOL4/CNz3/t+s5yskPvBR9C9Xgy3GzkjA9luJ9zQQOf3vodkswOCPncrW/NOcPtDX+F0wTZqvlfEwe/ns26ejza3yoK5e9l18gb6PGCzavi8FgwhcPtVUgscdPZZ+eBXHmJGcYDi3DDevhCSLJvamei9EVJs9t6hRFqGrkFvI8hq9E8G1Q7WxLT7l0NRVSy2sU0iQU1gV8cvsCTkAjN0NI8HSZKwqxKl81KHCTeBYxdJv2s9KDIZ8oYx0eDPvm4xR/Y6Wbk+lrfi4PM/YfVfDiXOfO+obXW/8CKLV9xtbkzAOn52+/HxVx4DBALVonDDh4cT7/V6mynMTWyuEMbYBON4cKXbuO0TYw/UkG0TZ6gN1dTQ/dSZ2Lnd20JKRaxZMtLWTM+5S8jZs2NyaI2MQZPzjjrBSeMIfp/gpVe3AaB2+8n2WJHOjk6eWt/WwDzbU8leFgC6oZCdPaYqU4ZpgWUaU4Lz8lVkepuAwdXowGfMWm7wmBQ1cfQfC/q60ZsPMKPEjDgry1+BFvSaB4UwxRoxKBD17weGHDNz77S0adiLZFSLDMLAiBIlCfQoQZcxELGAEARTCjl8tiOa2t7MYGyyzYr+rPfRRH+CSDBMcXcD3b8+SUZZeUJhZSj6r1FJSUEZuuovLSXvr/5qYLvv1GF6Tln41Au7uXXmfG74m0Z+drGdTx77Ob89+GlOnVtIVqYPWbZgsUE4JHDZDO64zkMgIPPBe/cjL5uN4u5F/p9Pse+bs8zOh4Okr70D1erEDIYWQ/PeD2B+zduQ54uSSOmm00ftbphxeWZcCTb9TdxrtaRmE26/OOo9GQp3UEObAHtpIqRcs4m+556H/t+5qoqiqPP/AGQJ2Tq5Q2Na4Uz2/vY7rP/AX41eOIrJWteGQ5forjYdmCUkEDKi/6cWsrlXgL+xkrc0/4AgLsGQxUD0uRDm5GkYGrphYBg6uqFjCAPOHcd76XtDLmDweZLajlE7s49a9g5yGBkGSuoscLmI9ETo8O+L5qwi1krT/13qvyMCpNj7Ezx8ga6aJ6PlZCRFMRcuimIK2VG4RRqkZQ10TwgIVXdhO9E+0LSZCWJwPBEDL3v/X3RBZQi0sI47orG9/RRl1jrs5bNMhm8B1rMHWP6xn8f8FlpbDda6U2SvHl9m6pQte7lv80pgfFQD1dvdLEmQ1ToRLl4c27s7lZgWWKYxJZDVTFZkT4zboNfeTWsQXCWbABg7B+YgSvt0lpeWY7OPbaWfDA5cbKfnP77Lim/9C9a0tEltOy/Vxn3qXh5Z+D62XdjJPtcS1s1XOJKezYYl+ylp3cFvTz1KRlaQGYW16JFsfvLN8/SP8h2X6lBDxWBzcPbP30/elm3YrlmNp7OFthN/4D2P/2bE83ufvgArPxK7c+1fDC+489sJ25BVK6ozY0zX7bSpBMcZ/jkSHEuX4Fg6uArvef55On7045gykU7IvG903pJk4Y/4ubTtRSjIwzCMmICDdwS5Xdgz19A/0Q/MvFJU6I/uL+oIUbr4GmRZMR1ohcAQxkAZMxjOnIwVRUWVVRRFQZFVFFmhti5MynvjmxzjTZGRzj68O4+QceNGIsYq5KErAcSgRDKUMDG6WxrwuTaPySd9ZNy11hQuoo6/wogyt+r6gODU8MoJZm+uGBCMJAlqgqlYcp3RpiSQGdDcDmhz5X5BavBTkiUa97Vgm5VKhljINTd+koC/E0PoCKGzP6cToeum0BSFbLEh9PHzDVw57q/vDqYFlmlcsZAvM09MqC1ZQhiTOwH2+ML8xxuVLC1Kx377g2MSVpK9KlWxkJ6zhLRCG6u3ZjOr9Shbcs6SW5qP1ZJJ4e3X88nrD1I46wSbFn4RRVGA2UNO9AqFV5kaqoUsx5e2jHBTK5kfiyN0TAT2zEGhJXMWLLk/5vBRX4jeQ0eA2PieRANwR4+XUIeD6ubhuYhGstD0L+qzkrQwZN47nEyw+/e7kqucJPz+Psqvvp4FNz80qe0mC1lNwZlVNGo5u6OQFIcLyxjMfUMxZmZipw0ww5+tysRSQsh2O0rq6EzTtvSLuPIyYvZZU3qxzhh7skMAe5Z5DamZTlrajnOs8lmKcxYhySpFOfOHPayyakVEJoEg6f8opgWWaVyxUCTJNNFMAmRJwjAmLvz0+EL87mADIU3HYVX521vnI+kae/oaxtROsn4RMgpyqI9QzRZK5hSSk7WImWdd2OyF9PrOoW0+y+xFD3GooSEqrAw7Ucyma81i5LNOun71MtkfSoY12Kz/1b1fxWVxoQud+yvupyLzshxfq/984Kv7t3+Gp9sX04Ws/AJuW5W8Gvtip4/O3iBr54zPeF75dOO46gGTvowNtragjtGHx8TkCOtJP2uSimGMP2P6WCE7bIjQJE3eSf5m4UCE5r1nURx2ZAWy5pUgguO/ZsWmYGgCQxcIWWbRzGspn31LwvKyxT4hDcuV4/767mBaYJnGFQtJUSdNKyLJMiJJRkhdN9h75Az1Fy/Smj4bi93Rb5bGrio8sq6UFPtgjqTeviDqFKWWVwyZrPQbsK43V+cpYOa+0QX5qooW6uPC6d9S5DuHVtKO6si7rIXhI7lj4SzkNBcdP32G7I/ehzxS30NmAsKvrPsK9Z569jfvj8vXEfZ0E+hpQZJlPIUbKLr2kZjjb586PyZGUUMzkhqcRThM7wsvkH733THOs12RAzTuODuGMw5CE4Isxm8Sau2s59mdpu+ChIS3q4UlVSGqaztHrHf59dZ1ddP3+paB7aDPhjM9Y4gL5sjt9JfRSC6JpKSoGNo7t/qXpKG6tgkiyWbm3b+OQGsXmi9A4+4qOk7U4uuIEKOVHAMUm8ruAwcoWV4EioQ0CtmhbLEh3sF7fDn+RBNTD2BaYJnGFQtZUiZNYJGRMOK0pesGh4+fp6W52RxAhUBIEssWz0XRS7imrIiZhSOv8sMRHWWKBBYRCSJpl4UEKypS9HQWRwYLV30KI9CF58SPQJJJHxJSnAi24nwyH7qVrh8/Tcb7bsOSM5wfQwgBNlPNLkkSpWmllKbF90vqOPB77MWmb0jWsuR5WxJBaAbJiCx9r72G1tpqhpUPEVjS5qymeO3mcZ27/fCOcdXrx2LLHEo3TZz0cs5l24de3s+qG1aMuZ2zR0dOyNcPWVbRx8guPGFMUqbkZGFNdWJNNU1e2ctMIsPup7aMVCUuDF3n0u7f4EqpwK7ZmVeUzq5Tv2T5zOtHrCcpqunAPk5M9G69w7d70jEtsEzjioWsKIhJcrw0Q3kFgWCYrW/uislFsmjhXNasvHFYnbqaeuzO0VX5kUgYi5J8VuoxQbUhLKPb12VHNulr/wH30SeSbzojleyPP4T7tV3objeW4hmkXnf1oAnBMJCU5EY4yeoke/6GpM89at+sClJ49Mkz4557Ju2c/ej2Cmq31SQ8bgm0s8DlHdxxmUrD0tvNhOKQE2C8q+NkhX5DkqisO44rzcwc3f8cpIVTscnWgeidAc3IZY6oovY84ZN7+j1WTTZFWY6yKspDtqPHJJmeth68p9tjHVrjOLjGPz64z+jyIp2tQVYkZEVGUqIUBLKMpJgOspIkYwQiJnURoAGSTUHr7iZU1zrg8CviOf8KgTAEHbIOoS483W/Q695Hb0Meru4KLu45xuaZt6F6VMKnTwyGIAlhRqQZItqGgadRJ7LzxECbQhg0tpxHcVlMR+GhP3R0EdWP/fUy7bbESYFHQ9fJ4+zx1w8ILkIw2P5l0kz/ZkQXzJlzufj87mBaYJnGlOCSP8hxTyzp9eVT31DVdv8r6fOFubbbwOpQEQLKO8IEe97iWE8tNaKF0pKM4SeLM5ALYZC6t5rZM8wXLcMX5I2DtXRWVrP6ng9glS0s3FCIZEksaEQiGrYRjvdDNiS8h05T2dUb9/jQ6+7vasiv0PPsrpiDcl81Vmcz2AbjoYxQEHuKB3ZeItZd1URfdwfVjqUDPhIWf4Ajx583OVMA1e2lYYTJF4C0MkgDtaUV+du/IzAzyhIqDAJdPczb8cvYAY7YcVSSQB5FsNzR5qVTDPr57DzViitVJ9jWg91exX1r5iNZUwZO4gtL5DRrnG4fvN6AJ8D8VatIzcgZ+XomiAspBu+5ujzh8ZPbj2LffH/C4/LrP054rB8ht5eO4xcJXqxHyjHIWb6S9JLEOYYAIqHxSSxD/VKMiAcj2IuaOvxc3S6Bz+1DjsSmYqg6d5r15esHw3uNoRE8mAKAEOQVpUYnZyM6yRvmH2LguzD695nHG+f7KSpPjW1XJPqMfo+Wkwa2YU92Drf0+TB08xzCgKoaC9/67xkgINWl8ckHW/j+f2Xxy+90gjBoOdmJoyKD1jaNBY0dZp/6H/R+biIYEI7cLX0c3NVOWp4gLW8WEd9sAnUGKxbJ5C5aZYZRD3AaRQUzefDTlONkimbNR1IUJDnKB6VIRN4KUnbbamRFHdHnqH7LXh66viLh8dHw+1AHG25bP6Y6tcePjPt8k41pgWUaU4JZTjvXZY89xPdwbRczC+zkZfdP2ianyTog/MdX2bDqjlHb8PS2c+yVJym4/5M4Csq5+PyzRCQ/eqvEHLkA7flnyLlqJk3P7qP4e99L2I4uBBZ1dA2Dw5nCjLXXMW/16JEYIyFyXEGecTNK3oyk67QdfpNZs1eQkZk1sG/BuHtQjnmnB/Hbt2dy/bVj422Ih1tVifuWmpPk331jByuFwZuLnKzQu/lU3Q9JpZyuSDattlIOpC5n07xZrLsu1km3sfosoYBvygWW3sDUGvov/OJt3PVdVMldLL16GScuNuPe+wPWPnA/6em9KBggpAGBvl8w7O1ws/+FbaRm5eFMc+LMSCEtOw27yzYQofPW/zxLanY2QwXbfU197H3rLRZQTWWkleZsnaIVLooy0hgqBOtC46YFj2KzxBII9HT3kr0ksQDXj7B/Mdarxub7k3H0Jea4Jk41cLijkPwVsfxHngJwvgQeDxyvgVBxLsfbdA5VSvzo6XR+8p9ltEtZfPOfZ/L81wpGPUcKcN+dprAlRYUTIxSm7+XtqKWj359+xLtaVbWgqFOkpf1fhGmBZRpXFBRNYCQwQxQfb+P40X8mvDBnxLhY1e5k/UOPEW5r58R//ZhFD38YYXFR/8tzpOaqrLh7Pp4Xn8MyJIN4POiGQE2CM0MYYswhnfEbkpCksU2Wkh5Gmipz1CTih+e+wDM9paSqFvQlMn1tgo81p5Ke4udsz2ZO6mdoVnRuPRPgGlcD4b/889EbHQHn3L1cqt0TowjI02splHtHrStHwkD8rMCDrSVGbWsVR976VbRknLLFoOVGaDp4ibs3Psx3rSHeXHgX9wk3H7Vmk29L61cfRPlCzMkxd/YbLL/2Try9PfjdftztrbRcuEA4EBno0ox5s1mwYVnM6XxP7SO1eBfCZiPtjMyJ4tX8sW0P3qr9zHDN4PUHXh/1noyE8788S+hcB+7cY8zJyqBw6eak606WaCi1n6b+jfNousSnvrGYQ6cz8QUUJFkhHDaFvve+F1IcGl/7qQWkAB/6tM4j9x+ktSObj3xE8OSTo7/DshI7HkhWC0KbuNn6T9wX9h3DtMAyjSsK2arCgeouZmb4WT47diVddP8t9L16hJSiClyrRtYjtJ09SdXON1jw8MN4CCJCAa5+MAdJlujytCKuX0cQ8HQ3DWHJNVdPumZBwkJTt4/6LjM8d1Bj3V92cJDxdgewaxMPvx7PoBUKBTnf2EW6yzew6pMlKarRlpAwbfkSUfbSId/lqPpa7mc2HVLXZlFwWlW8PW583Z6o74Js8mr1E2r115OlmOOSLJm+A0NU2/+84kMsW/EQOgKnxXR6bG19mab6p/DnLaHw7TRuu20+vooOiuctY+aya+PfIyHQdcO0QhgCXYiolcD81KPmA0vKcu6YWTJwbQBv1bgpL3941Ht6umvbOH6JQaTOK2Pt2g+NWq5pbRM/e+PnLAvX8rVyBwWrvjFyBX0rFrudzIJCMkdXCAxgYWYmjgVfoP3ZL7O2axbXBOvomTWHf0xr5dMr/2rEukIIejsO0nLSoMXnoyswqPXyH7uIu8lHjcNBal4zG3MPETjWBWMQWCbLB9TlaSZL9/LCgTlYw17WV3jZfbaQPr89SoEv8HolggEVbyAPXYeMDJD/WMDx6jBzrx4t9ipB/yfJizXZVv6vCzbTAss0rijMLMtkZlkmfzw5PLLBXlGE/XNF9L6wh44jr5DziTtiBoz2lmqOnXgdGQlvMEDK1XM4Xn1gYILuxwD9d/R7TKIASeK1mgZunbGOorJSTjX10V94wDx9WRuhviBzJkWdK8EYNSzp+PEZGt5AEBAYxmCuJmOAVlxEff5EzP5+QU1EjwlMJ0AQhCI6Yd2gwh+mp6Z9ICTcdBIcdE6U+uvGOCyafdNrvETKzPuSby2h78RBAPrdVWXSKZE/zoWqUyy/Iw9ZkUmbUUivp43eXU8O3pMojnbqBB2rKc5sMoUtpAFXAfM3NgkCJWDl3ByUYdqxyZoeJ6edoqwiPnPPZ9hZ9SMK5n5y1PK2lPGZTgQSaTPnY/vwfxLuaye1fBl5epjPHXEiWk9xVtHpC3WgGxoGBrowoiy3gqDmJ2XuTArn3s75ky9z07pZgw1fPwtD1/nargsU5c9HOvpbwmkpnN71YowPiNRPHTuE7l+K/n4Bd1tS19Du7+JCX2M/527UraX/+RVUyXaW2LI43VWGX0pl14lcNE26bIKXECj4/aCqZpe2bQNNn5oIvzEhydd+ok/eeASeK0lImhZYpnFFQhHw4tFGyjKdXFWeFXMs454N9L60l+avPE3R19+Hoevs2fMUAW8vN936yQlTn58Jv8bm1cknUevrDlBX3T2hcwLjGhkUDFYtnDUldO/hUJjaQ1UUrxwfR4XbqCftupmjlvN32CnduApplGSHgeoa0h025s9I3sdnKC6fvqYOV9IQD5IRBsPAllGALSMfoUeQDcGG5R8jGOjlxKFvUn71XyNLKjJmAlBFseCwpSBJEqpkThNGHB4jWVH42ub5fOyVU2h5XyZYVcMv77h1QDjup/gfyOtlDKYDEIbgZ2dKSSZ/8+7Ws2ws6Neq9uc6Mj+1oB+sr5K75hOUXgryxDMphMNgegP3hxOZ0HWwWCAcFrS2gssFsiQQho4IamZEla6Z2lZdN4krdc2k+DcMMyTZMHNqCd38Hqpqxb2tPm6/DzafYkZxEbEhBsPhDncTnzDg3ceVFAk9LbBM44rETVfNIBDS+PnB2mECC0DGXeuR7CpnfvIbqnIb2LzxYTLzRo6yGAlPHt5JQDcJtnKcwzlJRoIsEdVMTBRj17AAU5abRotEpowQbyhUp42w148tY+Tw7csiPMeM5LPjjt7SyEj+PIahge4fveAEUO8BbfdvhoStRrVTUa1HTtoSupuODmo9gl243RfZfO03Y9oJRhKbPf/rziW8XddF5lXLsVhtCcsNg2XkDMNfP/oUV2WV4FCt5DnjO1vvfOUnnN52nH/4Rg+NDdmEwv3nvzwGUWCzaoTCZoZ2Z4oPsCJJAr3pIsE3d4IUTZooK9Ew7GjyRFmOHjOjewa3ZbKuVrBdH18wL9zWycLNy0a9DXteH5kLRggRTTQpCER0DMPUmpqZnkwRsF+eHAioitqtB/I4AiGfD39bm1nYMBOAmppSYyAMO+z34+3pQsY064bDgfidehcwLbBMY0qwo7mHk019Y6qzMsvFxuJB4cRhUylKc9De7CG30FztCSGItLbh3XEMw+enNXyOe+8bxfafBAKGl0+uGT0CKR5kPYT8x9forimJncuGRyHH3xeF0dmI7dQ2JPvgxK1HNGqCATKKLmewNdFVd55a38uJqBTA0k5q/ljSRg56M4eDQXLUpWOoOz7IFhUtEmG0aU6SJIyJSCx6b1LF0iur2HfRHKR9tXXocxfgb2uEnAwUp4vUprPU+v87Yf3K2uO09P00ujWCd3gUDdoZZrX/aNj+C2cbyVpUMWDO7Gn0sP+5pweON3X30hcIUFZahtVmS3iGdpHHqk3vS3j+ftTU7Ke9vRYhZIqLC6ip+UHM8Ry7wcuHE/v3nOw7TFbqYvbVDD6MUks3K1IT8/MsaK/khHwi4fH3hlsp7G7l9Ml6ji5tIhDo5cz+avIsEO7ysjBzA5I3jXNdD5I6w8L67Iv4D87DHXaiB2Q0zRRO+hHRzOzUSIJAwI4zNYSQbBiFc3DcuWjUexQP4e3PJzyWrIvLTk2m/tCRkfNsSTK+nAyePG2aROV+U6g8WL7fNDq43U9XY+5MqzlPp81vrrIw/c8E8sA2soSsKGhdGh0X2gj6NWYvHV96jKnAtMAyjSnBZquDzfPiT7KJ8Nf7L9KjG0gIJBH1SdA9PLtlD7fJNtLsFgSgZueQdudm1BQHqS+MTHf+TkC1KviXzyHrrpFZLseDcF8vKdvepOy2B+IeLxul/tmDP2PhktEnq3iIBDz01AxyMHg8HqxWKzbbGFbQSUBWFEQSTstmeoTRBZaQpmOLoxmSlIyk+jMn02DG7abw2vGjH5N733XUbf0jWQsWkloyExj5d/b+wM/CzR82JwlFiXJwjDRzfTzuXk/jr1iwaWTn3aaaavq6e1i48uqEZXbs2DFiGwPn8/SwfPntWK3x6QhGC9xVzlVy+4JYluMje3excn3imsHtl7CvuHXUvmlVT7BixX0ACO8WNt5yG80XTlF97hlmLbqZlr06V6cdxtZcy0WbjVO+eegChk5xEgK7JUIgbEVRdWwpPiL+dGQljL/7Au7eVNIy3h3DzNzCQu5fMfWLgz1185h5+80Jj3eca6bmj4fpbvYTChl0W+rxyXbGZ4SdfEwLLNO4YvCZ+TPwhXXOvfomQtMRQlBYks+djz5gqmHjwDB0wpEQUjTcsN+JdqiNOymMsnIXot/RL0q0OaRdRVEwJiG0MS4kedIyVo8VwjAgetsDgQBPPfUUQgjuuece8vJGF0aT7rYimf4Ao0CSpFFNb88dbeTlE83kpNj4yl2LSLFNzhAnKwqGlhxtvd04S/iN/x5QsZsOy4P9NhpOIZcsHbJ9EilrJmgRpPRBs4eFWAK3eMidUcThPbtHFFjaGrvY+9bRUdvq6ulk/tzJNS/W1jn43k/hyScn0EZPOwcyC6g/dQ4hoMuWykYgJPWSWnoV1X2XcM1r4EjNZpZ+4DU6//WD6LoFpytIJCTjsIWxKWF6vS4sahgsYfSIAy2QiqxGwBFg4acvcHRnNVlppnAV0iO82HSMKlHFTFc62Y40zntauTP1Gua5YqdvuTfC4kSdn2Iu/DZviK/vOMpbZ3x8fPMcPr+6bOQKo7yUlS/9nO5zbUQKssEZoTQnlznZ+ZPX4QliWmCZxpTg1NlqArXno7ZXYyAyZUQBQtNwXKhmzXtupWReckRMBfOWc/KPvx4w4AogVHUY73tWjGmiz+88yMnt/bba+H2UAGFo6FoESQ+z7LaPAqZJI9nEimOF6bcxfoHFYPyJ1jQtwtFLh7G5QwDMXlqCrmucqT3GmdrBcon6Z61sZmFHYTQEvJ9ThGiUyEB4D1pLF41KH5Z0pymYRvdfyNPR7daBn6Pe7aErI5v9wQsYQgxEs0hD3WkdghWrBUZNFm8faxkcnyXA4+V02/bRr7vWN2RFaTYgKQpiBIHFMAwMw0CLRJDKVmC/M77WZCTo3T2I3lZTeBM68qmdo9ax2uw4XSkc27ubq9auj+vPVFxQxvokchCdOlLH6bO/x2Lpj0ZK/K7W1KTys58t5PNf2kuvXEhznZOf/HANNR9/i1/9aAECcKVo3HldA72tszi7Pb5TqrXTMyxn0uVwRPyUKR384ez/w2mdQU5fNk9vkbGqClZ7Gv/zUjsbgz5eqi5ga9W3qZjrZWFuK9++fzd5hRc4bevm+8W30xWQKWgyOPOf87AKD2mp9aRmzuZzT4DDsok1s+4dOKc7GGDn01t4bOX/ozvgpTfg5xd33BO3f3948TmyT7wavWXRexZ98Lr8NZw6VRm3XnNIxyubzv2hyNhzOG291MHbtd3cs6iM6s562n0hvn2ghgfn51OW7oxbZ7SxZM1nPkftH1+jr6mRGStXMWP9Rry7do+5b1OFaYFlGlOCW0oUShavRJElFFke4OZIhEBDAzW//iXlf/FJHJnDnWwToWzROsoWxbKzNr8aYcb8T4ypv+5AgLQV8c0u8VB1Yi8ntz9rbug6hZHkMuKOGRNWroy/gZAlQu7CElaW3TKu+gdbfkLWPbcN9mRIfhUz4sLsW7ohQJEG9gtDx+fuoePYGyxaezcy0gAFu2a1oMoKKjKqLCFL8c0tWzp3cdvay52wk3PKvnRx0Ak2fKmGnt8/gzqzmOotr1IWDJK9ZFA74nP3sefNrThdKciyjKIoWCTrGO7SICKH3kCZtcAkApStRKTk8rdcc8tt7Nv2JlokgjWOuS4STE6YDvpmc9XqBVjto4foWyyQmQmnLoZ5/ekKAn6Z1sog5Wl2mi5BKAReLyyaNZOMAli4Of47fXHn6Hlx8tuOUHT82/ztykdZWria517fgSWjmSx7Gmjw1YcWM6cpxH3v83P0jf3knXyFzEdvprf2JCWps5jZWMmXr+ril0cN/uy2q9nT+zyzi8upOncOJb8Ku3onwUishi/N7mDnh3+R1H2zFWVQeFV8M2HhCCTR7iMvEgqZDv4W4KV9g6kr+p1ZpCHfhx4THj+hp5/mqtI8zp04w5rCxYR9NhpPdPKT0wtYvyj6jA7hizIEzKgf2cHb4nRRcd+DA9vvlnY3EaYFlmlMCSyqgsOe/MBtzc01bf2XmVaEIRCagWy9ArgShmDuVYP5OIRh4HvmByOUHj8kWZ5QaIw8qivryJjM4WogzwqmxmLEsmEfDpuLVMfY0ztMJgq/8U+0/P0/UPTQgxSsXce5X/9yQGAJ+H3s2vpHbrr3AZQh11P5b/+I1/ddEmkoWi5Wknr1cCOCFArTuyeNoptXkjIjF+lMS1J93Pn6a7hcKaiX5b0yDIMjO8/jaUruWnXdQB4htFzT4H3vg95eWLDAVGr+1xOFNNVIBALg91u58w4zbkVWILdQw+tqBk9y2tKEWHI/62euhfr94Gnjoc98CyDGTOyr3EHpPUsovXYJ/hOLcV41KCm4X1Wokeexdl47zz/3HLOVclrw8bGv/i2yLHOsvgd3MDKxPo4DmZLChnXji2w0DIO+WR/jzNP7WbqwiL1vBrGuclC2cRGbrl6VsN6l6sQOzvEgQiEk2/gE8KnAtMAyjSlBd9/r+A8ejxmyvZ4GFq/+FM7U4f4Pit3OnE9/hqY/bkF394GAUO5iHNUWbEDainyQwLEoGzV74rlHhmP8tmZJ6BOqP2LbvHOrHMPQab50gWCgi1Cog6Dup9PupavjLIojk3RXwaQxeybTF1megJA6Sd0M19fj2jAonHraWzn361/Q0ddHu9PF8jVrY4QVAIoXkvLexI7O4r9/SsEtsSajHz27nSXl+bzUcJ7Pfvc87R8M0tvppfVSK4ZuYOgCQxdUH71ISoY9JpJEDmUhp+Rw4K3TQ1qUMHSD+StKkfw9SV2rYRjII6SYeOEFmDsXvv51WL0aTp0Cw0hBUSCimUHjkixAmCoBTVGQZvnxHOnk0vY4BHFCcKKxibZD3x+1bzvb21ht34AspyDteHPwKqPah5Pdc7n56X4TmoDzg98jehFp3e30eopZPLOU0NkGcuo7OPB7M5S4zRfg7eKZnNPHJ7QY8js/ocuyTObsQubevICe6lYe+cqNWJMhFhzj+2sEAsjOsUQZTi2mBZZpTAnKFm8kO3tTzL6aM6/g7Ws0yZiGYOh27k2DIZDPf+0YFZvmk5piwSoE/kALM7NGTzCo62PnDTCCbtrba6LOutAf8md+laIeGFHH3gGW1einHiLk1ZGaByOWYoSMEeQNSZIIyQLdIg/dGe0BGMEgnRGNtN5eLGEvLvQh7Q89xxByroHvEPZ20tPehGEYCCFFk+kKdC2Ex32JlLR8muv340otQhg6+cUVZM+Yi82+jlBfD/u2/JA2x0X0FjenAl2m70l/54g6Oat2LKodq+rAZnFis7iwW1MIhnqT/wEug6FrJhfGOKH1agQ63Qgtgq4ZiEgEQzMQmo6u6YiIjtH/XdOjxzR0TXCiOUjLq2Z+nQOHn2HunFJKdxgsXHUbqz//t+YJXn2V9ddfj+oYPklIwZGdZX21NVT/4ucD216vSrBP5ZdVZ5kTOcCrC+dgPWbDaM8lu6fPNKeqErIssfyWxWTkjS35Y2UwuUi61EwX+98+HrPP0+1G0juxp9h487W5FBf5ePwrgkBvPhY1j+ysAM2tKZjJGiUkIVBkHUmWsUQiBPZX0+UPUutoJ9goWJw6JHRYglznCjas2kRb435O173N9vq3uWfZJ1i5IDYb9p6dL7Jpw81YlPgaoPZINfNuHpng8Grg/FM7mfWXG7CmDU7C3d095NXUsX7p+LQdL9bG988ZDUHvxPl38q6eT97V88dQY4wCi8+P7JyKBeL4MC2wTOMdQ+Gsa2i6+DaenjgveBzJf8P6s8y841ZUS//EldyAIl+24tm5cycpKSlUVVVx9dVX09XVxaJFi0hJMflOdta9jteRw1x/P29MLDunydjJwPfLhQKAM8ZSrj57+XUNXlP8hY1Z/60OjQVz7TH7hso4/oVLOdPUAtWvsCy/YqDB/sR4saccQgqGRGZbGG9pi8mBJWHyLMhgsVspL9xAT2cDV2/6eFzNiSJJLCy/kYK564YdG7wEgRH2Eon4CIX9hCNegmEvfn8XM/raE9cbBYahI49iNhoJaUf20qq6kFUZWVGQVRlJVZEVGdmiIKsKFpsFq6pEt1Xz06KSF2xj7a03oigKR8sFdy68lYauS2zb+xuMiOnEbO+SmaVpcQdQMUq/l3/jcQD8fT48bb1UvXyKesWFa3aI+bll3HXtlxFC8NvtzxBxzeNb35pYlI3Vntx9XLJi3rB95986R1eDl0yvwoZVBZxvSEOEe+jT/MhqmIgRxKI60HUZTVdISVWIBAw0Q6K300prXR5qYQH5Wen8ePtXyJj9Z0SMCLWOMtYvLaDlyFvsPnQCizWdGzZ8EaslZZiwApBiUxIKKwCRjk4qn461fXXXtJNVHqvN1cORGGEFwGq1Eh6H0+t4sbv5MF3hEL0OKxeONo5eQfOxpvVNnK6xBxd3ecP0OhcMpB/JiIxtMScCfuSUkQkd30lMCyzTeMdgd6Qze8k9SZXVgl7a65qGCCvJQ5Ji6xQWFlJfX8/999+PxWJBCIHH4yElJYXnzv2SgtRybl/+qTGfZyiquhqYOU57dPb+BtasGL3uiVAVOSvuHlPbvhYvJbMTh7zmF49ldRYHkoRsS8VmSx3mLeM9fG7czeq6ZrKJjhOO5TmU3756XHXlFCeGpqMoCnJUo1SSPYuSG808OoZh8PTW/8YvEpDdWZLLK3X2D3s4cEjldGkVHeUX+drCaynI/yBgat6cttSk+yyMaDSeNjTnk5kUMhR04+5pwyQzNUOs+3NCCSEIa9AXSkE3DAwD81OYmriz9TU09TzLyTQvd3a9wfFXHqGyKx8lmIlLFfR2ZRHSlChBs8DtBlBQVUFKapibPnQcZdEOdvszKJ1dxvmDv6QuVEJzkcIrx6pZaukjNacPyd/FnoPfZ0ft6+yre5OZqTN5363fS/r6M/R25j38nqTLD4XdbiMYGb8PS7U/zMu1e0jWMNwV9PLR+beMTqIUhdvXQ1PqYsoWXDvmvmk7f8mCTYNO4sc+/3Oqnk6GgsFcMhktrcz68CNjPu9UYVpgmcYVif3//W9IM6+m5rWtsQcSUroOwnepJ4boyG63Y7fbqa2tRQhBKBSiosLUVGTYc1lffM0k935s6AomG3o8dscMm2P8r3hIsnD2YjXtoeGJKGMRn95XaushXkamSHs37td2ItnjTPcCOtr8hOwejmZ2cX5vfIG1/yxSzL7BrUL/+LUz+R4LR440I1lVZnrtHOnZRSCgs88awJmjICHhz8pka+UlVMWM7OjVdE55g/h1nYVhic6oSamuwcWv/1DO+r+uYrnTRvYePwGpig73KVxyHmvSd5Jp6+NESi710kLOnflv0uXr+MY/LsPbu5ZFJW68fplzL9XS1v0TTqTeS/mMiuH3Ixou3nTuFKvyswfMmZIMPv9WutuvR5LkKCuqHM1FKCMQ/HjfSR5Y8R5k2czWbbUoSDIoskxavosb7St5suYSstLGZ/5uF08H83njZ9cROOkkrMsgQFF1MGSsShhZgpyMEOsWBlmVm8lNq/4CgNe3fha1vJjNNz2KQ7VRWFbEvudqKa+4m4LC5QBsWP2XCX7vkZ992TV+LYCqqkyIlcC5gDtK86MJOScfiiRjiPF18HL3t+X/8R9jql9bW4s0rWGZxjRGRtvt13P/rE2jF4yDF2tdMZwvJSUllJSMP89QUpjAWJXa1sTvDvWRYrdz26L5qHE0C/V9fo40epld3kZKRt6UE1IBhISKPOtalm4Y373bf7ybfU+9GvNbKGGdmc2tZDx4J/bZw1XcWlcPnbtaOZBj597lRRxp6KXHH+b2BfmkOZLPiH3p0mvj6jNAtt1C6dI8lBQnUAxAV1+A9BYvS+bnxpQ97w3wybN1OBQZW6qNpxq+y+aKz1KV5qJH01mZmkVecSbdmW9yxGigfLlgSVWIgjY7inMXcx1H+WVuHstTS7hhzofoCm9nz4Vb2bAWvvlN+OlPBXv2CJTUX+FQrmXLTxfyxxcL4vY7ZBi8IrexctXKmP0nd52lbF5is97abjfLF+TGPdbTZiFz4/v5WLCV328/QlDN5sNpXuqDlXTOyoFMNw1HKnBlh4n4beialVtXVRNsifCdu3Zz4GQV3PFeAKyeIK45i+g8/QYAaTkPIcvygLAyEmRJQtMN1BHMQu8WTEvr1L2PsqzETTyZDCbaLU3TUNUrR0y4cnoyjWlEoevhYWadsUAGOgJd5mpRF9iGamUG3D7M7z2hCF3BCKoskW4d3+sw0SieoqxM1q5aQofXxx+OnECVJW5bshCXddAX5z8P15OetYrTT/4V9kW3seymD74DQos0objmtZ8bTp72xrZLFDxy17D9TSfOcO7Vt1hcOJPeoxfJXdTCqfrzVBc/jiGNfYVX39mLdqwShMnrghCgm0RzctjNjNAlVNVmMucaYJpJDJPr5UIvYkNsXhlFktB1g3BExxCC9lCEL5xv5KoMJ/+5oITHzjVw1BfhSdffEPpqJm+0ehB6Kt7SPkI+N/OP2Tix47Pc9flf0JJtoVM/g01o/Dx/A90zP8glxcMLez6JI6Sxf3sRtuzd7H1qFyl9RbTV3k31vgDf33YDXqHxkY/A3/0dA74t58+b3z/7N4IffK2URf9GjN9Lv+mnL9TDJXcTLf4+IkMk7A4jPeF97A5LHN/9Gi6nk2vyXECQF7ZmIZX6eOrfnHzmS71EVnj48PvPsWCmm11GBplaOx+oWED+os8y8+m/5sz+7wL/CiEaFwABAABJREFUn723jrPkKvP/31V1/fZtd5mWaRt3n2QkmUzcSSBAIBBg0QCLLLDsFxYJsLsQCBASLECIEncdd+3pkbZpd79uJb8/6rbcae+ZSQK//uQ1uX1PnXPqVNWtc57zyOfRSL16HqCTEKqKjPv5X4D/KK+eidbQCfX7iEmKNmPGeALs2iEhCAI+1ymUrGiCE83QSevLv410oV9bU08fAWEORmlI0BXGyKB5OjWd6hNNGFsOMSd7arlzDJ4A5I0uRF4IiKKIpl0kJu1J4N2KDJwMZgSWGbzvUNZTxbzE6ef0uCR9IWW9tQhAfaOXqxMjC+/ARKUNCRmzg3Noq+yhs9nF5muKp3W+sKYhXYCXOiXGzgdXLMETDPFi2UksJjNXzytFFAReOdzML29fzKJlf+Dwnpcp+0kqsbf+jfyiifKwTF/i0FRtMLHaxUbWonlsf+UEZQ3lJOZYWCZ1odmNZIacWDsDxF5SMKX+ypMLyTYZIhl3xUgG3kj2XS2Rs4d3MW/jRxENQoR5F32hEwUkexmiGL1AxNhNVFUIfPkLIWLNQb6cU4X7cBqhf2vmrtdi+c4XZOa8+TDOq79OX5vEdZcm8+k7NT75CTMO10me+e0cWnsUbr42j/sfmMNn7kpGKV/Il/JXctOzzZQdXsnG++J58Uw1T76dSH5iLtl9b1PdeC079q2kqSKVZn8shXOd7I4QjzqdDAovnS4Xzx8/i0Eu5VvfgrhhMsg2l5G6hr04THbyY9KZnzQP0zBNxa+668e8j7VyCrdfupTkmCHz3Wf/uos5K6zsPLiLTZsz2P2qGSF2Lz3NGaww9hInhpDefhFP+W5KOjuw3v5/o3e+Dsp2/Y6gdYCTRiIrJgOht4PC3PXEpw1pXtYPa+Y6eprYpecQtY3ipnX6xF7WFC/EbplY4B3QP53oPcDCBVP0FSmfXK6m6UISpIvGpD0RZojjZjCDMeAMuni64RjZVitLU8fMzjEh4i0ONmTqOzBfVwvJxWOHQg8owg+cR5RASNUwnofAEgwGo77HmE3ctnQRrZ2d/PXBh+jUEtmyZAE/31XB7y0vcfmsjcSv/wKB5id4/sz/8MWtzyCZx9olT39cYUXFH77AE+UYE+DfnziOmJfPHdfdyKNP/5QzCWmkuK8g5K8nGJp6LpP0tCQK540d5upM+BSnyrazaNNtg2UDmoqHPn6A4O5dCFad3ryy0cb/PpbL1z7UQGwgD0fYT+z18VAu09NUT8+x5Tz881Lcvv8jowk6GlRU90k+9XE7VY25uPxrSXL1YLI7+M0fruT0mRB/fczBN77g5+6fBbl64252hZIJdLxESXAWRal9BILzuO/F+6hvzkTRDNR7SgiFoPyoA1WF+++HgwchFIKnngJZieHUsQW4nQYUBTZv1oWZhx8GQ18Jz31v+TiRRvpvJODqpqe5hqCiEpI1QrKKr91D7eEzNIsgqypH5QJm5xZyer+TBUV5HC4PgtCHI6mX9aX5pNGPX+5ElgRCgh+jFqZ151/HfA4Wn8bWPF0cUZQwja5a/sbVrNi7jytvWDRmDrHJoNerDIXhA/3ePvZVHkVWRUDisgXLsZnPobDXwO91Y7VPweF52iOcHCRRHEEFMVkEAsGJK42D95N2Bc5TYLn33nv59re/zT333MN9990H6BLZ97//fR566CH6+vpYtWoVv/nNb5g3b/zU3U8//TTf/e53OXv2LLNnz+ZHP/oRN91007htZvCvBYtkpcHTxV1FN59XP5XN/Zzt9iIJYByHuXM4nP5mfntmalEtA8HOCpC/30ZN//SEHsmj8vav/0pLfRn5Gy5BFEVcvT30Hq/ELmWyxOyltX0HFevXIO9L5y33k1yRE2KLIYMYWwI9v3iamMWZiOaRPh7B7aepbRvu3Dr56dXvDZBYkA9cwAy2Y0yARqPE4iyFjBgrq3O8aARoSzqMg3zo9tJYc5Ts/MWIo/gwHNn5e2wxGcDQ1fkUkRcPN9DjdnHDig0kxCREtYlLTCUuo5Cast0ULlofdWxvrcAv/5LPz7+5H1kR+MJ9Wzl4KoWX9tpw+xwkJfjZ+zkZX8CAL1RIextcvuIdPnmfxmO/KSXkz+Lh5wvxe2yoij7eLmciggsUvx9BNlBeFsPXvubnbFcqHv8nOVObzte//H1mL5Ax0IsgW2huz0JWJEAj4NdlPdGoRwM9+KCAzaGSmy1SWSkgywLtrRJZWTolfvQ9H/+ROL0hOt0Bju7cTuHCtZgMEjajhNkg8fk5BqwGgZce+j6aOZaUDStIXePEc6KEZ39bgjWjFqslDXv+jZQboKjg4/jan6en8zU0uhHm3cjChR8a89x/e3EXZYcb6AuEiTFIhFQDG3Jms3hOLsfffAQlHMBkT0T29bHgio9hNJqY7G/YYdGQhhHh7Tx9lCuXbMQgQktvKy8f2YUgiBgkAatRJMkRhzExhY7GSvLmjB1Zdy4uumFWkGCaJqHzzaz+L6NhOXToEA899BALF0anxP7Zz37Gz3/+cx5++GGKi4v54Q9/yJYtW6isrMThGF1q3bdvH7fffjs/+MEPuOmmm3j22We57bbb2L17N6tWrZruEGfwT4bfH36G1dZEtp/cNa32/g4HUkoazZ4AH16Ri2UKPilJkswVc7ZM67wAR/p2U7h2egt7Ibns+E0dJZdch6ACKiTFxXHV/90FwAu/+DOpgoWvHjtE7twi2p39ZOXexJlte1gTisG6qQjj3HmIjpE09vaOEIkfvGpE+WTQ19FDw/HT02o7JsaYAI81e0hLyabh7bNUN36IcKpKEv1g1jBlCjxx4gjx5SZUTeQzN8+NamuLyWDO0mujygZqVLee5dXje3FYrHS3OtjxzIpBTUNe6VKOb3+J667x4g/amTNHL2/uy6CsoYTP3DeffXvDKIpMXq6XOQvNvPGqQHx8iPrGWBx2mebeTFRV40BZIdV353DypBFNUfG5Ys65VAFNg06XBVURMRqNxNsSWVHkI3fBLLoDIv94zMg3v29mx97Z2M0BAkFDJN2SgCDo6SNFBDRBzwvjcYmcPqOhaSqaJmIyQ2skoKusDDo7obkZvEIiis3LL0/0jnrvc2IsvHaynbM9dq6clTn4nJq3PUqf14MgSmSuuY09+4+wIsbMTy4rxnCFvkz/tEbg6vhW7MZiynrOApCaeh12ezEmcwpVlW+Nes4BFDls3Lxcf29aXH7irCZiIlQGS7YOhdPWH3iRfp9MStzkWWVtkouXj+zAaNDb9Hh8mAx63znJOeQkDzmT+0NhOp1d1HfuoSBuLG3lewRBgGlqWP7VMC2BxePx8OEPf5jf//73/PCHPxws1zSN++67j+985zvcfLO+S/7LX/5CWloajz76KJ/5zOgJ6e677z62bNnCt771LQC+9a1vsWPHDu677z4ee+yx6QxxBu8xQuHRJ8fx8FFTC3GLbp/2OQM9b2NZNHFW2tHgCZ+7LX13oKoqwf4QyRnLmHfDULK7s0crOPj8NgAkg4FAo0x+uxeD6yTz5iyi5flK1t32AWJzR4/uGMR5bJA0UaGyqRJvhQVR0MnoxAhh3ZCiZNj+cpj2JLoOWE0Wju8KkJox+qblh59bRXVND6WlKXQ+f5qQT8WmZCMFRDwBmVsXLyO/IIGD5R387K/HKcmJ1zOAqxq5sWPvPosyZ1OUqZuGHvjHPmDI9PPww1DTfS3J9uP85slSlq+wUF8PrTV5tLVLrFnVQnKSgZbWZDq7rbgPtyErKfS6LCgaBNDwCwoaAmFR4OpNJzhZPh8NI6IESpTCTQ/CHrgnVoOG22nE44ln7mqJ1AyJogU5HNnVj6oIyIounA221vSG4bBhWH/6nY6Q4mMygtUyUF+ng3nrLfjCF0N43HbuWTg+xfo23xm6T+ygt6YcQZPJXHMd9si9yw0GaTjTi9rg4e1jXdgdZgw2Iwl+lQWFuu/XiQghpCiKOBxzxj3XaMiKHZtRNbV0NVVHX6UNjUa/g2vHrDmE/PgO1s29HYNhYh8Wq8lIbkomyeGFhA+cJFD39tiVz1Gp+H1mRo3fv1AYIImcwfQEls9//vNcc801XH755VECS11dHe3t7VxxxRWDZWazmQ0bNrB3794xBZZ9+/bxla98Japs69atg2am0RAMBqNs/y6dsWgG7xM0NrTR1vrssJJzV05hxDGpvZ9xkpteVNiN55cvQ5uGZODt9lO3oxlHmo3s5dGMnLOXljJ7aSmKrHL6mRpKPplP2BPCmmxFFEVSgf6Xa5HjYzHEnZ/adyzEmAWWZynEZuShaiqapqKqGuo5WpKhax8q17Toe9LZ301hTi0r1o+eEVsyiJRGQoY/fMNcTp/qpCA/AbPVQHeXlyNl7Rw42syVWwoomlWEoiqDZGVlwwiGFUVGUYJ0dTXS1XWIxqbH+POfnsftNmGypiB73HzpsxoxdoXKfQ28ujuR9LU2vvYfz9PTcx2qamLfsRgCQYEXXkkkGDRhNGqkp7hoboshHJLo75VQZYFLMsto6UuiRREIaiL3/6EEUNFUAcEUAtnI0O88EtYt6TmBfCENs1lGEBV2vXmWk2dLKcl30ue2oGngC4w+NZuNQYJh/XmLgooggKLqgo3LpaJEZLeAT8ZoVNn/zAtkx5s40Fw66NMyFho7w8y1Oym69hMIJhsBb4DtDz6B78hRcteWstqbQua6XBRFP+/20+1kmCyD7S/mkmqLS2HxJp0Bt+HwO5NqEwr1IIqWqDJFCfD76j1kWCyjtBAI9YVYs3QV8bnZkx5bfkMfr5e10NFQgT17rLQJQ/xEhwIK6ZlDIf1jzRxlLh+LYnUfm9ywQM85zr2j3e9w4AjLzEMRlm5DgPLyx4a10AkFA8GjWC1Lh9FaCWOYfwLASN6f9wpTFlgef/xxjh49yqFDh0Yca29vByAtLdpJLi0tjYaGhjH7bG9vH7XNQH+j4d577+X73//+VIY+g3cRSUlbKCwsnLjiMDQfT6Dz9F5S566duPIFxvlOtlPdAbma3Zx6qY6Vn5yHNAabr6qqnHn+LCVX52GyGTHZon1UYrfm4Xy5ltjNs5AcFz4Bm2i0YDeZSImbQIszCeSmzKLJWUPn6XdImbOJ/pfrkKznXPcwlUw2EOpoIwTQ7CK29yjZhbns2dOLZNTDW0VRJ0BLNA8l1quufpXa2j9SVPRvgMaRwx+mtNTID34Ai2bH0O6ykpCgsHhhEE9jNcG+ZH79pw2YzQW4XaI+gRslJFFlUZ6bg5UJBIIGKqodCAMCgmJEQ+BA+yJkUUbTBNSAysqb3ubF312NIGjIgdGfRzgkomkCsiLR77WiagK9zlI0oLXTSjBsYiDkfrSVrCC9hTPN+aCB1a7isCr0uSRkWUISwxgkjQRDH2lxHs52Z2JrqqS2cQWt3X30+2R2PLIHo2TQOxfESGSUiAb0NNVzINmBuOsftLXV01Ef5tItVyP1BfDE+IkJegGQIn5EO/ubSU5V+XWVTi/f7GoB9mA12CmOyyDHnkK5V6Cs/AxGgwF/IDiC02N7RwNte0ffbEaSTEQJvgICivcEO6sqo+oaDbGsKfhwVJlHyuK5hv2DEXwhVeWK9BIKHWlcnjW6U3+dwclUOW/n5CYwJzeB031dzF068ZbLX36Gj0wiDPoX9e18ZaBe3uRYfN+u85GUP2QCHitAu66ul/z8sX2LBtDTs3PCOu8mpiSwNDU1cc899/DGG29gGVVC1XGuZ/Fw4qgL1eZb3/oWX/3qVwe/u1yui08ONoOLiuzFm6h857HpCyzn5R/27qlcz77ViNEssepT80d1Ih2s90YjBRuyMcWMvviJBpG4q/NxvV6PpTQRS2HCqPWmC1E0oSkXLsdK1tJbefHQY2gvbWdL5lzsyyYX/dPw+iGKl60neV4B5y4zmqbx5quPcPTYnzAabIRlL1de+QyiKFJe/jhW6weZNw/Wr4det5UYcz8GLUB/Wx+xyQl42jwoShi/P8LRY1TxevX7XdMRgyzrzydtVojOVgkBBYNBIRQw0d9rRhR1IbKjLZPXHkpHlsefUgdMOwCyLCKIKqogYDArhMPGiHmHMX/L61L30tUbR483Hr9fIhDQQ/ZVVSSsGbCZ3AQsKVjTW5F787jsB99BFP3Ex1soWOgnLdlC6ZVXDt47VFVXh6kq0gtnWb3lrsFjv3/sH9Q3d7H2jo3kZ2dz7MQBuvfuHhzL7YkO5hQPLdC/PePmhrx1uIN9VDmbOdFTQ2xmHsXWVOItZlIdI00zfeY+Pj9erqpRsXFEyc6qB0aUNQp53Ji7dpDU7R+1u3i15ThFCSNzJg1AU9UoR92LgYtp3vlXNx1NSWA5cuQInZ2dLFs2xKSoKAo7d+7k17/+NZWVutTb3t5ORkbGYJ3Ozs4RGpThSE9PH6FNmaiN2Ww+bw/oGbx/EHL3cHb/y2SUrHhPzq+hR1+I0wyjHM8kpLQ1EK6o0RcrVaHhuETBfAVvUwBH3uihtw3bm7Cl2bAlj58pVTRKxF87G9+JLtx7W3GsPYc99jzmL0GSaGutoOvEkB+ZIAi0KQb2akksSRhdkBryroiGVw7TqJXwxS2LsFsmz1ob9HrJnTf278LTuwqblBLR0MSz983X6W0XiM1QCfgP8r+/ycUfNrFmWQXVDTmYE92crJ/FLV804nQ7sBhVSgubqa4vwOnSn79kENh6lY1HH1MAjVB/CE2OQQNCsq4Z0jQRRREBjWDYOOl7LQianjlbE9BUETSBsBxtOjoXJmOQUNjMk6duIdnhwh2UQZDQNA1ZlRAFldjYANeu7aAorZo/7SghN6ed4lkdfGT9UarcGzh6Ko681auHjUPXrsi1J+h54Y843ZXA5wePffqOD0SNYfniyW0kHOYElqUmsGziqhcMshLE5W9HEgwYRAOiINEdlvFH+EsEBK7IXIWogSiJ+EPyoCCjZ2jXEAUBJaxiMEhD5pFhnE3nfp77yk+XjXYGk8eUBJbLLruM8vLyqLK77rqL0tJSvvnNb1JQUEB6ejpvvvkmS5bopD+hUIgdO3bw05/+dMx+16xZw5tvvhnlx/LGG2+wdu27bxqYwbuDo0f/giiJSJEdqqejnv7+XhoPnybplIXitAFP/fFWgegZI9SViOvwWCpMjcZAGCHKpq0NuELibuvl92UPIUji4IQ0XMNnDRjJJloYGF7P2DdysgqdOI7S1QUaWDZuRDAYQdPYfLlAyB/mzGNPkZBTN6Jd30mJjFyBWEkisKua7pCJkGQbUe9cSJVeugK9EV16hFujvpma5x4cIs6bAq+CpqloYilLzwlLXQAktbZztLOHpckJLMuefBbZ13obpySsAJjNYwttgiBw80dGJmc7+OJ+lm3aAomdPPy3BMJBiZrwCtJnhTlR4UCzqDi++R3403/TfTQRj9eBs19ARTcLyWH42yMqmioiSQIuz2iOm+fkUJpUCKgW0bJE/LZEBUUZmIbHfjYCKqKo8B//fpRnX5qHI7OX9pZYvC6BsCxhtoRZtqiepq4kDpxJwO+SEONSKV5hpHC2j+KFpVT/AizxQ30GDm2n7qOfpelzcxAXL6IubnrJAwfgVt47NtZjLidS2w5UVUHRZBRNJV6VeLTuAGi6Wcl90EVxfilGRUC1iAgMveu+mn5i5yeCrLKsX8VdO2Sm6m3vxherYrFbo94tYfB/Olp620ZoAN91KH3v9QguKqYksDgcDubPj34kdrudpKSkwfIvf/nL/PjHP6aoqIiioiJ+/OMfY7PZuOOOOwbb3HnnnWRlZXHvvXqa9XvuuYdLL72Un/70p9xwww08//zzvPXWW+zevZsZ/OuhqvoVDAZTND/DAn2BbGp6GMngIDbzA2N3MBbGCRBSFD/Hzj7O1uK7xqyzaZyutx14jU2rto553P3I4wS2va2rlLNmoZytQrDZsF52Tqh0ZLIzWY0s+sQdIzvSNGZdpoKq6KGMmkJg70sUbpxE9NTGkUXPWaq5cfWNE7cdA08eepLVo5Qvy0xnWWY6+5rbePj4KXLj49iUNwlHRfM0Ui5MQ0XvLTtDVXmAFLuDz95l4OBRK3u2aXicBnw9EpoKXd/7MfF2jXDQRHtnLKkJITqdJhRFoLhURaGZsxU5qKoWZcrRMfB98nZIs1kgFBqQa/T2Q8LK2BDQkGUjZiHIXx5Jp6E3loAnXj+1qGEwq5jNInsPlVAyt5nC+Qdo7N3Ih2404+5Oo6zhNWpf8eFuns/JHz2Nu6mFZEcDziwbj/xwEQlaMQukXDxdjTyz8+FJXw9AR0Mv6bP1iCCjZueJo81RxwNn60hJHfsa4/qqYMomoZEQJAcbCkZ/R4LhMAeaainL7yTjlXoMvgCHlTMk527gxq/qk0ZNn0zhwtEF7/6yMNnpicSmjW9yPf3IIfa++mJUWUtzC2kl0WH4girw92H7fg2NgCZw98LzzJwOIMWffx/vY1xwpttvfOMb+P1+Pve5zw0Sx73xxhtRHCyNjY1Rqve1a9fy+OOP85//+Z9897vfZfbs2TzxxBMzHCz/gtA0jWDAOSqZVE3NT9HQSI1dQmPjH7Ha8klJ3jxKL9M680UlQTJnmTFtugxNVZErT2G96hqdEn6qEAQQJJ1CfgDnwfZ5sW3aa7IzSDQZ2dnawSYmFljeLeZM61wbOWsX0HmwilvEOl58PBdZS8BkNZGTKxPnUNn+cjyX3SYj1UFQNTN3kUaJKPPO20bqzoIszwIiiim0If8SvXS0qxt3TMHgeL+/sdtqgIKEX7VR3ZYV8TuJOOaKYDTKKGEVAZFv3/UKB55KxGeqwxD3Dk//6S4U79UoQZHlC8MQ3obhjptQs25j+ewVLAcePXSEm1dMz4Bz8PntrFy7cczjldW1lGwYWyA5+NyJaZ33XNiNdp5+7Q2sNgtCRKMycEsrOjro66jlA6XZNMdWkxubgVxip/XtXrzOIPYJouw0TZuU0ByfkMDaq6K1VHtef5W1l1wy4e/+kbeO8NqJ1oET6p9ymNedLQCkx1tZlJsY1cYfCKIKw5WmArLsIxDoQpKsCIKEgIQgSoAwbXP3+wnnLbBs37496rsgCHzve9/je9/73qTbANx6663ceuvoIY8z+NfBsWO/ISNz9CzMRUXf4sXy/+F49Z+ocvdw54R5ciYPTdPOa/GebNiyIIoY51xMUoZ3F3FvH6SqduDbSO8UDY1DssCchDj2tLYMNdQ0app249lwSdR9D4WCGA+ciJrAT3SWs9ayBrth9NByT9hD8+uvomoadc0tzM7JHhxNXXMz+dnZ54wK9qhGztbV86tfluJzSwRLfGSbPLR0mNiwbh+njpdw6WaFzAQZUVPxumD/XhFLZO2SZTHKwqNdZMFvQkTG4rD4cbr0nb5BUJBliXDATEhVSUhQufVzn6dwrcbxHwYRl2fyhZ/swdSfwEtPlfCVLz7F/L3b4dLno7p+L6/M1VDDwecenHyD4T9BjaHBt9ZjXzCXKy+5JKp6R30rlspGuqrLCJt68dUfQ8tJxtuXiHdWgLcOiVy3eeO4pzQYDdQcPoPFasUWZydvyeTDfIOKStDnw2K3U3e4Er/HD5qKoqhIkojH5SEmLpbCPherL48WGofPfr/fdZZ2ZwAAVdNYkpPA7/ftYn5GOgOhygBJJNBwagcqQT3xJypoKn5fJ8s2fHOwP1lxT/IK/kWYbmcwg7GgaRrPnH2G/L78EcfOtlWzyGrgeN/eke3QkBG5bcX9dHkaOdD4IifP/BYQMIkGVuXeiMMyvRBbWQ0jTjGTX1tHM3tO7SDRnkhyXOrEDf7FoGkaienpFN9+27j1xoq5MDxXx6o5V4xxdAjySZG8WcWkxE78bLWdO1l36ZDAK+7dS2FhIampQ8/HE5apO1aGuXEZm1ZATQ1sO2SgXzEgShpJKwopiLXQfbKHyu5SJElFlFRAwunSqfDfHUbyMWKXR62nwx8Y8GXSIjlxQFE0RBE8AY3/PdbAwediMAgO9v8ol/7+XDLSW1GD/ficAXZlXY30+v+xduu/D/Z5MS811N6Bs+wMGAwIBgOC0YggSZgS4zA5bCw2zyb5xtH5uaaC5EdeoSAirHS0dBMMhNAUOPjCKwhOlT5PMtvUFaQv2srpireZH7uI7g4r/W4XYWX8QOb04hyMNjOKrNBS1TC2wHKOFsXT0EVCWYjTlGGxWbE67MzduHjUpq53GkctH8CnLhlyznf7Qvz5ZCXJCTHcNIkwaoB9r32fxqqdCEgggKvTQ6t4EJMQpqXJyv/+Joc//LKeihor//vrTP7w6yYQJNSQd1L9v1uYEVhmcMGhaAqXLLiENZmjqYLH901RVZWAq594ewZXl34WQRB44yefRyos5J3w3ylKXsrc9NE1NIPnVxXckRdNiGjOXYEeukNeegIenXoiwjqqM7IKCBoY9dLB9aHf1cuq0nXkZOZN/Sb8C0AQBLS4ySeBG9F+lL277+gxDIkJGHNzB7UskihNuGiMhTVr1rB9+3bM5hAGQzwmk5lnjp9idd4snnlHTw548iQkxAp4u03Y7XD/V3JZv06jocaE26/gD0iAHu3z7mLq5wuFBswXQ/fWZAlRkFFFQ28mP/uEypblFvxdJpashR//GH74owAHnTGkzJ6HxHxKF1w4zeVEyP3A5bjbnRCSQQ6iyT40WabvzXIW3n3FBRMMQwGZvi4Xp0/UoCkambmpiKLAsqs2cuAPv2P+/Nl0mGPwHDmIXcsnITWTjXeuxDzAXzSOyab5ZC2qouJIiGPOqslrT2NyU8j74Eq8TT1kX7pw4gaThESI2XIXPm8jsG5SbYLdKdgWJqGqKpoq4w18gE9+dhYmXwMf+5TIq2/GkliwhM2X9BDn8CG7m0BTife4IWPi/t8tzAgsM7jg0DRtytqMAYTc/bzzxdsxxSei2SzIRhGTLQazJ4Rv51lOrPVNKLAc7DxNm6+feLNtcElQNJWgqYSXW8rQNI3B/yIVqlqdXGvXd69axACkaRqz88bmbPhngDLNpGkXA959+2j9xjcwpKaR/r3/h3WBPvlLooSiKhw724pFEjAZBLwhDZc/SHZSLG19booyEkmOd3C2/yzamQhHkwb9zi7aa1rwOF8kMdVOrGMu6cEemryF+B1pPPOnQrLyPaQsquHYs/PxBAw8cvApEvOL8KvFWPuNtDRYkGVds/LPhYhNJNZJ/m1ucs4aefxvKcQZrfzsZ1AUUQRcd20BNdWweOmsUXu5mCah2MwEYjNHOqv6Oi8sIVmT0kegtoWVly7EaIxe1tyXrud0eTkf+sqV7J2VytrLor3zNZ2WeUwEQkHS87KIm8DpdjSZRxAFjLZoH5mjOxuQ5eiowo5WN9cx+vM5F5JoINtkp9k/eQd2szWR5MyhBMRdLjh0KAhKEfbX7Lg8oChQ05jGqlVgz4/4o1WPnwvq3caMwDKDCw4VddoCiyUukc1/fIH2rjq0QAAtGCI+IYPTbz7JSksiMTUS7vAfEZIj5oOB80RmixNaPCcDXm6ctZRU21g02VDb3kFDdw+aIKAK4A7GMtts0snDBGFQNdN3oj6SywMQhYhWQEAT7YiCASHijGdpP02gsmiwjoaoD00QBp3e9H5FgpIfzaAOMo0KCAiiHmYpCPo/LXJNgiDS43aR6OmN8EUISJKEEHGikwRdxSsKunZIEqUo/5CQGprWcxjEeaxm5/r92NesIfP//QeBhvZBYQXAILqpqnmal45aCKsmVCmBLQuLSE9N4HtP7EGwSawoSuVzG5ejxCtkxWXwt//5BnmXrKN2315ibLOQvYnYHB0UFS5mwQI9amXDZ+DPP4XqYzEkJ3aSYE/Ao8HapE/w5zaFhroQ7j6z7sD6TyesgChqqKqAKRSHtWYRfr9AVXkf0I8mWHnpFSPZuS5eeN5GV7eZ/Yf76Kg9ipY+tPAKAgTqzrK/qYa+DgtJWZMj87N0q8RmGDD2BGh4cySL+Xg/G6X6JPTW0fXAaQKnTtH1wO/GrHu8u4wt3x1JCncu8nLTCbRV8sJfyxBmF9LqbsNq7yPZFgcZAraMhTy//3kCTolXdw6ZOTR0YUV1Ojnw3DaWxI80sbidLlpcHRhGyYZu6D5DbpJOlWDoaKX+1Y6o40qXiXaHn+ZQF2c7g+TFFhDwhrn0uuKoeocOt/D8K1WsWJROZtbIJKYDOHOmDF+vi4zcXE6Wn4jkGxt5t2VF4UzNESxaiMSkJFSjCW8wyIduE9i5XUVTwOMzoGomHntM/+0bjQIJF5Z78oJjRmCZwQWHoiq4gtPP7WQxWsnLjA4FNFhtzP7oTwl1nMH7t/8FJOwf/8IQv4jO8IRWc4Ibl1xDsiVxtK4Hsb2+kS2lRYiRxWp+qkqMPEAIpSfV05lAtYjjGmiqfh4lLFN9qILSNYsj5wd52a2IoqK3UxU0LaxrcgbGp6mD49xe9w5LS+ZGNDx6uaYpg8c1VSVCZYemaijpSRw9exRN1djTsoc1mWsiuX20IW3RwJjPWXhVSeWhEw9RX36c5Tkro46NRvB2DrMIs3tC1D78Jwo+/onB8qBf5s0/naKn2cOWT84jszB+1HuclD+Hvf+4n7W3fnGwzH75NZzrWmu3m8hJuZxfrJqP39/LU5U7+X1zM5cbLGQsTabdp9FzuomKZ06RkdZOu+UNLDFG+rcdZFZiAjZTFTFpqbjrUzjcvJcU4UkycnVh9T8+XsjPH15B5YkEnL1gt0NVFRw7KhEIWCfJnfJ+hICq6jvsm6+3DOYIam1R6Oj08vV/T+KDH4RvfzOW0lJISYbVy+1UdZyl+NJox1Qivh8Hn9/OyutHC2IfiZrXG8jbmkveNEbe23OaxM99YVJ1/T/9LAee/V2UEK5pGlU9zbR6ukg0pTI/YSCa1EB2XDyrNi5nR91p7EYTy7Mnnx7kyYNPMnflkqlcCq0768m8VOcBytow8vjxk49SmraBpJRSDh54mdtWjfTrA1ixPAu3K8gLb9aQmqDzDjW5u1iUMmQq1dAIdLlZf8PVAMSkFrHymo2Dx7+/7ywZJiOxgoisaRjtArlCiNqqKpYtWc6/f/01ahuK+cBNDg4dTaT8lJ4wMy1do7UFEFRMMX5g4mSR7xVmBJYZXHBIokSseexdwlQR8vsGV1VJsGNIn4/jI18ZtW5Sn5vWij3UtJazfOvXMRlHD1m0SSI58fHTGo8cDmOobiK+YHj7KfTl7iav5KqJ60UwfC9WqVWydenYfDBj4eWuv3HNpR+dcjsuhbN/+XNUkdlqYPNHdS2G1TE2CVzhog301J2Z8BSSIKKquunKak3ktvlXcUl+J0d76kmSQ5QKZhZma2hXLWPjw1+npfEO8nMzCOZCbowNn3oZQuYsgr39NB9vwBhKIF6xIgiwObeVF9Kc1Dut9PUrdHRr3HgzaIqI1ezFr7x/J+chjKYBGvq+ezecruympcXNycZ+Fs1OpLPdyWOPxkQYnHUtgt+nEVbGZmP1uz2017aiaRopOakYTOMR/L07gl5Ccjarbvq3we/Hq3bw910vsya7hC9u/E9sY6SIMYoS4SmmlZhOAtOJ4PF2k5QyOX4VR6yZD98yZLb57d4Glq0dmx3K5Ig2Cc23WWn2BPn0Ot209I+jfaxfupD1V+g+S50PbMecZseX1k6/oqKRjdmskpkp0NGuIUrQ2BamRW6jt9dAYmLKextCNgpmBJYZXHAICKja+dFUV+1/jb72etRgEMFiodDpxPP4r8BgIOaOe8ZsV1qq+7eUCQIG6eL8vC8mn8uE536fmC5ssZNLtriv38ehqv1jHNWvpc3dxV15Q1E+FoOZ/Lgc8uOGcoO56l+n6+jDdMYt5ETKjRz0yTxzOsB1qQouYw8e5RluTu3Gu6CYispiHPE5yJrAf/1vMSHJik9oQtGSQBAwCCIgEwyPn/Ygepzv5cw9FueLXt7aqvGzbTVcvSwLwywHZYEQp/Y3MS/Zrls2Bd0cKQrQ4PIzb5TeAPKXzMXT66S/oxN3t5PiVXPHqDlw/gt4OWMgc9VGDjz/IKtu+Awnj/wewWjmfz75M/r7e6ne8TiC2YHP2UX8nE0YDSIGUcQgifj7ujDFxU18gosMYRj3SZOzl8b+LhwmKwm2sQXlFmc3AUWmzx8Yt+9gIER3bz9G0UhsnI1bFmWyraqLJ442097XhLf/AH/vf535zVaqOlLIx0JzhwtXcwbFGUYaT4PbLVBV00UonIwQFgk6JbYsTafi1DtUN7fz4aWp7ysh4f00lhn8i0DUoK7yBeTm6IzeA4vt8AyszbJIT/zIMMFg81FWWpeBSUDQNLpiZebc+vnJD0LTEMWxndKCPt/k+zoHiqyMm7RwIpzP0hdsbOBA4+9A0ydD/Z+kX6soIorSULkgIkj6d3dDzbTPGerspPvI4cjghaHPQf+hobrCOcqAZbGzuaR4fDNDWXcSmjR2MlWA3pg8qu2pdC+4lw1z5jBHrWLFiZcp6qvD4LDwqO0sK45n4C17Fe8aN/HBNF7ZlcCK9QmcLAvQczwPo6ZiMoURBRWv144ghUCdjOPi+2GbOVJoGmDONRgEblqWypzEMFmz7ciCCQWJCr+GioisaoQUFUVVaTgTYMfBU6iq/l1WNf7S2EJIeBmLWcUT6sdmXcaKmlJKystISckYpMwbLmcoPUEKyZ3Wlaiu/knXbS8/wPIbPw2ASwmwdtmnAIiPTyR+68cBCAc8eNqqkRUVOawhqwqJ3jrM9lT0RBKTw4UmWVTCMnQMmcY35M/ncEsN+5pPUJAwdqLeE22NbJ29ipU54zvhFhflcrymjJamVhYmzCbFaCPB7cNsNnB0z4uIBauoV+swdsdRlJxMNU6kg152vZCNalAwG2UCYSN93amAhiQqzM1o5OG/zAcuo6itmV1d4XEZwN9tzAgsM7jgMKDxwZzLYfbEP/Udh57lg6NxdZxT9k65hTlTGMNEmzizbeLcPGMh4PZito9OcnaxschaxKqtOm+FqqqoioyqymiqiqIqqIqMpunlmqqiqQqqqhIsr5/2OXvsFpIH/ITUyJ0d+By409q5TLD6383xE+9yRQTdl2cc2KwJJC7cxKakJew92407LhnmLqfhQBtzO/3c9XAz8XdvJXHDGpI/o9+f379Qh2AVWbTMRl9/I+XHExBFCx6/gKaJaPJ7nTx1LGdfXTgxmWVCQSlS79zFVCMU0lMGKLJMXrACX18c9f0qkhbGiEJPVxNx827CJArYjRJGgxFPThEF2SlIoohkkJBEgWOalS0xn6K25iw5hfnMLp3NvhO/pqFRoik1l9MnW/naVZcwK3vIIbfy5R3TvuqwYKZ198lIdE7E90zTsCU5iC/O1vlaJF2QlEwWzFZdG6GNEXpstMSQkB/te2LtdNDVf3baY5wsxGD/iLL2/QforW+nLyxTVp3GoZrH+fKXP8jWIn2MN88bPxXB/b/7JJmqfq0HT+/W/ecizL0Dm71w3xOoaXFYAxpLEz5GotWKIyWelsZylt54PbGNJVBUwIMvuXAkmFmnKlxrNbBy7YOI1+fRP8fKrLZ4TLTyq4R9fH3T/1LeWEZ1TyxvvjM0N2alvDfz3FiYEVhmcOGhqTBJwqF4aXKheYJkoL2tkvSMyYUZa5pGR3cDomggKNoQDFasRgmzJCIKAudjsPK7fZhtkzUnXGgMLXCiKCKKJmBi80xnTPy0z2hITydl+fSyaAuHjox57PFX3iLWbieshZjvPU2rAFGuwLKM3HyE+NWLEEN+Wk4EqU2rICZNZtupJuJCQRaUmklo06j+5qc5lljKqp4WnA//mbNtcbyxbwWmOBc339BNsrUdWUhDCyhoyuTMWQAGo0a8zYnLZycUNnBhtS3aOX8LmKwKRqOMz22KyIQD51MBEYNJRg5JiALk57hpao8jI9PIovXXjOjdffR5Fs+Kdj7fkewgJ1M3v1WfqKK6ugVTu5//MSQgaSl8tPZnNKs34RAasWfm4HZ0kDZ3Fo//6a/MKp3DDddvwWoxn5ezsittHmlpMfoCPBB5Jwg4G7rpevkIyAq+bjc9/YfIu2Z6+3uDwYyinGeE3CSgmOJHlJU7W3imrwtJNFO4eRYmk5Hf7N02avvRRFabspJetRiPx8etHxv5XAFU9e7BiMLhyA4soGH7duLcLnJWLeD/FhWjqRqnn/gbfl8X8+76NOXP7mG+9Xq87i7yPvMhfmx00+3s5KZLPog0bD7WNI1gdf8U7sbFx4zAMoMLD9EA5skRjmnoVNNqJF2HOMYuatPcdTx7+C2utuq7vMGoAUEcFoocUesKAgX5a+jsrkVVFaoqTuKacwNBWSWsaqiAp7EXZYms59cQBKaS4ybg9iBK0995vF/8UN4NjHeldjSujuSZCfiX0dlaQ3beAsRhk6b/uV9iXar7LN0UsSy9s+cnfHrjR3AH3Tx24AhJi7P59XEv9lgVT3wm7adrueHaD5OwvZ+O2jZ++LMCzLYkgiFjVKZkQRjOaBv9/AVBFyAcVieZjk7UYBK94fEjz84P+riUkIAc0McphwyDYxUF/T0R0Rl5VU1AEmTsljDIKs7m02A0gl/BbLYhiBLO3iBn290omoai6P88njA1uw+z42gtJrOZLVtXse/An3lwxWfx9vTh2OUlfGY7z8e4WRCTx4KmLk5X2lh2052c3f8mO198gfh4B86GZtQd8cCAT9fo70/QqZJkS4oq62jw4TaOJjTawRJ5r2LgdNVZtPYz1LXrjtv9/Sfxt9w36n2L/g6q7OFtrZvTHiVi0hKG1RgySQ+Ua5pGc1szO3bsoNapYomNftajZXDXNA2tw0D29jei6p7qkPm/j30U23S1uBFH29efGV3IARDF0ZfurPnz0ebOpfFjH6f/kd9hdJhAFMm1yfRqPtqf+guzySY1pRd3iYC5vRKLIBAvCCgnT6IMEGcKoh7ubxqbGuK9wIzAMoMLD0HUtSyTQHxyHiePv4SoafjlECtWjp1PqseXTd/pUxHzw9BUpanDzRL6566yDoIJLaTGxrFg/nryCqPpGg+feYrmt5pw9TbT6/PQXzKUtGwicSLQ0cXssz1wMpPxs/aOrvKvDr7FM3LnsPNF19En1OE9DB2vOtmF6h05kaX6TlMaEx7jnALx7cepfzkw5Hcy1hBHiXE2hKYWbTEco92Vt375G8KJiWgtZ3ipczfm5ARebt2JPS6TG8pWseKmjwwuDEKwFwAlHKL+lfswxyTxXNWr7D39Igltn6FASedgcjaZXbvZVHOSn+z8Mr6eXPa/c4oexcqtN7zK3564ibDBii9sgZCAJTmIv1PXEqiqhKYJSIKKogoRs5aApglYjDJh1YYtGWYL9XjaHIRk4zk3SWV0k83UYDTIiIJCytJu5DoDs1KcnKnLRtEMxCaCxRTG1RlkxexTWAjzds0lJIa7SC/QaO60suuZP5B79TVs+/s/uPXK29BUhb4qG7bcEIIIxohmMc0pk71lPrO6PJgtRp5+rpLTHcs4Ye7E7++h0fxRkqR41gTNhI72kbBlKdd/vICuNi+p5tnMWppDQlYS4kYJSTIMOvSOhb1vH2XWZdG+LrO2TM73JaE1g9lbp5dfzgpsfu55Fqy4YcptW7eX8aGNk6O8h8UjSsrfqcZiOX8NrM/j58QbexAlAVEQEUUBUdSjMPW/BURJRBIFJFHUeZnsNszZWSTf/2vCT/0c8w33IGoqVlUlXh0wE6uIBgv2uZqeSJNhtAsRugRQQZExBs4Ak+PmeTcwI7DM4CJAmLTAkjdrIXtPPI81YwHp6WMnFTtc18ecjGTSiyYXIjjfvJ3iZddT11FHRVc75YffjjoeDgd4qVbhug2XsGHe1NTOdRVVyAtFCoonz/EwHNc/0s2cSz82rbZPevey9aq1I8pPbO/BunHsyd268/9g3SdgipFTgUAA/2t/nrjiGHB7u6lp1nfIbtlIr5BAwNDK/PZmmh1mDrzzDzbfdDNOo4MkJZ/DFY207v0l7qCCP76dFdYeMt9+Bk2VqW8M0BK0sNq0iS93baPHdpqD7SmkhSRIdPJ0Vxqx6Qf53Oee5r5T30Y41Mups3lcd+t+GluSOVMxB1+LjdT8PlqETIoTTnOmtghf0ASoaKIRRdEZdM0WRefBMQdpFx186z9dLGr9Mdf/6lt0O3UNiFEKMz+vm8ZADN4uG4KkEAoZIqy5MFZ0kWhUUcN6KgBBAE0T2HrdGXyeODJzZbyGRlIT0uh3ytS1W+nrVgAjRsnK8fa1XLOwjCSnCaMlhnlrksj3CaTkLGBB4dW0XuokcdlGLAYLzZ37WDY7ISpLb0VVDxabhS03bQTg0qtgU00voYBMLPH4eix0dnfzmVs2omkabz78IlkrZzN7TjIxQgCjZMJ8ARbjyUCwTN/PTMf0NJnnGwWoAeIksjtPhKb0fDYsTEGJOEwrqoqi6HxLsqIgqyqKCoqioKq6Bk2raUY9XoGqgSljHoGXfsOqD/3n9AaghKGhZeJ67yJmBJYZXHjos/CkqyfkryU1vYikpLG94mclWTnS1D/pPuWwB5PRQkn2HEqyR3HXXX4Zy91tnO5r4O8129iSuYhU2+RU/uFwGNN5Od1ejKiTCfrU1CkLK8d3PAshP7VqzpQcnofjUtcJTIYiEAReeesgJSXFxJtCJM92UFHRQ+fcf+c+v4UPLF7P35ocrF0bR1+ag/L2LuL8PRyxH8OcoPvppMxuY2XsYtp/vZ1W4tk910BsmpPNi+bi8lVgbv4w190YYtFludzt6OdvFcmk5rVTdjyNzEIB1ZtAWJBQvSJ+p5HD3aWkJLqx2loRPEnkW6upMxTQ1ZhEbnYbpUl+TGYrX/7MId6wnCA2Yzb7XziEWdK44Qsraar3UlQYpPlEHGZzkDtvOsj9fx3OHjb0TERJRVMFNA3MkoLJ6KW+uZdH/uJg/x6Bz8/fTmzhAt46nMZTocUUlNjIC6n0OQP4QwbssX6uWOrkD988SrDNheOOZfT8/jUSPnwHos3GgWf181itMXh8TiyxFlJmpbD3H3uQDBJxqbHMXT+fpi4v979THfVrqeuoYGOR/ntWpRDL83z8befjnArGUBofov/0QQC8rm7MBYXAhU0EqqrKuBF9/3+FYDCQmD5Vk0w0g+6Jbf8431GcZ/sLixmBZQYXHoLAM4frKGx5esKqYXcnoaCLN3ocrCiKZU163Kgq5uQYE72BySfIMxgnJgSb5chgliMDVVV5pn43txaMn6NoAIqiRDmnTR0XwYdlIgFxCllXA34vp955lNwll5OcmU/DS+9Me1gJZgfp6QUAfOSSIH39fRTd9h3scfFceSXkHNtLuOssCxdexlmplXsWRsI9I5/v1MnMzddJ9mp/9QbOmt0YhWJaVq6nNC+VuvJ6fvzIPmrNPeRmneCVd4xcfk0SzvZZzEqO47N3O/i3uy1s22ck6FcJuq24z5hQNRVbspfsJb1c9/UX+dvXrqFPzSMvvpu1C2P5+tY+LIlWshfGkFB0M/mtK3jx5IP4rWZS0lfw579YuPzyMA29GeSVNHPqSBZ/eHINRmN4MEGh7iOj29wEDSzmMGaLgKLoxGauwzWkq1aaqu30fW4pfaJIflovTS9lcuwhC4XzQ6RmQorBR2qemb++lAvk0vnAg7hf/i0hdy3e3Q8hmk2ExVp2Vj3AmWAlv3ilmv9nlUm3xFIYp2sMWmvTaPC3syTYy6bN0dm3XzzcxHXLN0eVLRvlWYrdNXg87dP+LYyG1qoztFZVIAgCy6658YL2fT7QNG1Kfm3D4Z7CPDX+GC5IN//EAxiJGYFlBhcFSctuZGFxyqTrrwGeONPG69VdVHZ7ePzm6DDFd6q7WZs9+UQXg34tk4AoiiiqMulJSlVUDIbpvTqaogyGbF5I2I3a4G5KE3QvmGBPI3Ov+AR2RzyttkzajjyPQYDhu6aAp5vZC64iOUH38dn77G+h9RgrP/1bDEad6XS8W3L8rWOE/cExj8cE40iP/J07u3QEc8e8JWvp6i7kCy8/w/rS9SPaW98oozWnDoDYVVvQDF5ir82h5KwTc8CGN2s1iWovm6VF+GNPceDvW/jg5THk5fTS39tK2+693LpgP63FBdx5041UuFRaXU6unbOEouQkRDEFmMN3dCUCTzxzkgKLjbZKhdmpIp5uPwlFCWRm5vAB+Q58bg81ZxuorKph1bJF/PqX0FTv4llnK7/4yHpUGSzWAAG/BQEBk1HFbgwhSQY0QSQuWUAUNTo6LASLC3nsGYWY2Vkk5XqRNQ1FhT88F+ZLd8i0NxgoXtJMd1MCFqGPHYd3o6oq9lgDOdnZmLN1jeS+boFw6Tw8ioI/KZMPCB2EGw+gLv8amVm6bmzAg8u5feQmQhQFZEWekGjRaLQSlv3j1pkKTu/aRl9bC0nZs8hfPJqI9N5AEkUURcVgmN576rCMxxA8eQx/7376agV289jj8YdVZEXBYTEiiQJGScQoisS31pB39OfTOr+mKtgTFryvhIT301hm8C+EqdqBn6vqoM0bJNZk4GurR+bbaOjzc3nJ5FXRJosFn8eFLWZyKQJWpS3k4ao3uKtkYtp7RVEwTFPoUEMhuAgCy+z1H4j6XlEBP/19kHuE32FJzKapN8hVN10/Igqrp7uByjcepDmxCEUOYxA0Vnz2QRo8IY7U99Lo8mMpP8T+YNeo5+2oc3PDv9895rgq/9FB45tvEfL6cThGOu8O+Pz+m9ZJ9d4/80rfhxEtQ9OSwTYHi1OPKPmfVif2GJFLg27eFp3kNDvxmg0YHHayQmA9+xYfX70XS1wBpWv1fCsuTy7Gy8Okdgd4bfcB0uKg1BFHTflr1KA7NHcdMJG8JAWD3USrqxV/Uj8vxb6FvW0+H3Fcw4FXT6Ghsb+plcd+W0yKFENmRgMmNHraKvn6f6ZwtimLmFgPdsHFxmufZveu60lP6WTjspPsq59PkjuLAycSyS7soTfQj7+hlA/dnkhabpAuZzvHjh9mdc4a6qU6TIqJp1/M5eN3qvS32Vm3xobPG8O6RSmIosR27Q0yFl05eI+8++rob+zEmGzHLCfgV1SkmFQsjtHel5HvpdlgJBAKEGMdXytpNNqQ5fHZV6eCuZe8nyjJhmDR4I23azEaxFGl9ZDSg5rgHrN9V6+HXYcOEOuWEMShaCgNcIVEytQCcjQrGaMkUxwO9ayTg9SBBomiwKc2j+3jN3gOTScJDMn6vwPmEmKX3jRhu9GgKD5c7lO8n/IhzggsM3hfoN0bpCjRzjUFo2tlnIEwfa4gCbGTI/vKyM+nvaGGgnlLJ64M5DmSsBvtKKqKJI7PYqv6fBiM03t1wl4vxjHyn0wERVampKY2Gs2svFkPCd5+uGHUkPHY2DSaamtpy/0IosFIhyfIm/vrcJgMXJOfzOasBHZ417L63IR5QDgU5pVfPzLuGEpu1aM09j5TQ+FlYzsppwFzvCHOPnyavA+XYomP3KNFWYN1rD9/kHbFS5nbTbbYz6Ol6wjLNdwSjCcutJuE4o3IsW62fHZIgOrr6EN9IJ5Eh8Lyz1026rldi1xUHzjDsktXUe8L8kZfN/df+h3Kavxs3pjLzX9+hIVZyTQ1ZTB/gcAbf0vmW/9RRe3pMIcOxJCf1MKCNUkcOthIQ3UBu3Z+iHB7EKtBJMNwhubqqyhvjicYNLP3zWxmpSWRHiPzo8++QqKQgLtExWZOJcdkYduRg2hpIorsYvtr67BFObiOLuh+dE0+p7f3M3fJfNxtNfQ2KqSt/z6WUUOHR8JsMBEIBycUWEwmK4o8tjbtQkMQBRRZQTpH0zGccA5VHYoOVFWCYZlQWNeWeoNhOvvcqJHEoGokr5IaIaojQqegf1cHu8zwBlm8sRiTffT3tPn4UbIXj+3gft1y8FU8gSp2YJ13J5IlHgA14KL5rQdpsuczKyRhcpiZtyJzzH5WbtY3bpqioe2sn9w9EwTMBglz5J5ZTdNf4lU1HOF5ev9gRmCZwUVB1/HX2NGWPvhdQJ8M6lz1uBLzMErRL4IGPNzQhCwWDJadrGtANM3F5kiior6Zzo5WOhkd9R0VKAuKB80tmqYRFM5QeebAqPVPNsVQmhg9WSghL/999hmS4peCMJYWRCNY08PlNc/R6Yh2vBWGM7YOFw6GaZt8/X3UBf20vf7qGP2PhCAIiKJESFHYX2fCvqshEsoooIb7MJr0EEdNFfn+f2bjcUsUFITx+0XKznQjiRKN7W3U9qt6GOrAf5G/133hXgT0sFcEy7DjfmQCaNroYc1KWCUcmNyO22SJvp8Hnn2S2NQ0YuITyJm3EACj3YStOGFIWBkGTdP4QMcTpBZ9F7mjGuPqDcyPt/Do0b9y3CESZ0+mIdjM0tQ0Tu7fHtU280pw9zZQVV6G2+1GVVRURUFTZeRQiETXGdoq4aXePoJHu1ifpdGf0EJH7Sm+8/Au/u+GGyhMTuEnx6HoRr3PvFQT5cfiOV5hJz7XQaPqIjm7EKfFyYqkdhStlGuvO0SSJ4erNz1Dc8V6PnfVc1iTFmOrqSJZTMXdEUer1kJeYgGg0qWWsdyUR9bixRyoPcCLZS/SVOYmqyAZsy1inkOgvkMifKI1ihuk3SBytLwCwn5SMXG2Yt+oz2Gb30rN9iMD7CMAyIqM2beDxnEiW2pOeJhbkkNfXwb72srHe9RROFvbSb9xZxT3ycB1TPTdJQdo+eObpMSPEi0kCPorFiGd0yL8IeW1XrILJcwmCX/WbMrPNg3LpSREfuMMvQeinmNJJ2HTeaB6+gUYx+R7LlnbaLAW34K/twzP6T8Rt/SrVL/2O2wG2BsqJCbZzJJNs3nj4TLmLs+YcBOiBGUwvvtOyaoaQhQujHnrQmFGYJnBRcEHlmVC4eUjyuNPPk5+zhxi40bm0kg+8X/0dp3mrhX38sjOF/Ds8nB5zGHyt25iUaqJkqtHhvMOwN6aiq+6iuJLrx9WOrYTbV3fdq5bvnEqlzSIt02QlGxlVubU+QlaWlowO53MnTteYrkhaJqGpqqoqoqr343R1My8JekoikbQH6J8+ylKNq1AURRefNHEnBKRr3y9n8cftXLksAFREJEVhUs5iF++TO+PyA4TbfA/VVUjC4ZOpqbX0Tkakt0nYZSMIqqiEpsyvYiRlNx8+ttbaauuILNkLpLBQMAfpLWpFff2XoTIYux2ull14wYEQaBg8934T72KqlmwmeZiDKSy2bMSw/wiTnTV8ZlLrmTb2YM0dvpYunQpqampgAJIvPriHrJtdjIys5CMRtA0Orc/jNFVScqiK8mTtvFOxTtkbNjKVVs+Rn3TGboPHGbr0ispTNa1foWFcOwY3HILvHzWhE8IclBuIa5D4hMfPMzX/3MLzr4EuhbUEvCd4v6fzCYgLCc3qxUpJo62OTbk+iZmZ9ixdhwh2B+iY24mvrgiOqqrqKq3UHboct74QAoFqbrgLi+TObKzglCvwiXX6twgzz75D9Llw7qvUuQ+pdk0Fi8Y4ByJ9v8ajjYquHnB5KgBBhAKhehq3sv8NRsB8Pa7kYwSFvvEYcf9O/q5ahTt3GRQmVtLKBympHBy7NYAjdsbmL8ykxjb9Bfaoz26D8tYEIWJtbyCaMCauJjQib/grXsJmyMe+fBfOeK4h+w0kTcbuifksBmAHJQRjNPMXXYejrOaNqNhmcH/z5GVtpDjZ/6BJBmjzOmBYB/dSidJ8em8ePo3/K7VzReKSjB09XGirIYb7xjftyQ+Pp2q049QvOH6cetdCGiaFsVtMRXIsozROPnJVBAEBEnS2V81kdhYC3Ex+oTpE2ViDJCZpjOJuvrgss1QlBfD9dfA2SpYUKqr+U0eO3OTx8rTOz6OvVFF1Ri5Y5JjrBz/+yny1ucQnzs5f6GAP0hISsRvkjDn5LB/xwl9jEYDBVeWkJKRMDiRn95+fOhemG3Ef/VnAKhdrcwtO4UjXSB8+F6SSq9nX2c5KwrnU7R8Fqoa4njZnYiiGZMxhcxZWeTMLiTo91P/woto4RCxjZWk33g1Ss8pJLWDgmQLB3uaqKg+TEfDHpLjfQQ79vCX19/BmVKIkg07f/kBFi2SEFM9mMVu3v6/Qq67+hS/+cV65i8LYRUM3PHJOlxn5vPEjnZmb/4f2vZuJRjMZ353J2m2FrqF+WgpyWjGI8gLPsaNRevoWrSYR99sZs8RF6dOvYOqQNU7Dkw2SJ2dRWzKkHCQ4eqkZO4nsERMi5qqsv+F/4ez6BLiHBeejbe7u5vT1WVsZSM7/v4SZrsNk9lCKBitXXMkxjJrXiGOpPgLcl6T0YjXNzUn34QEC29ua8BoFLHaDFy2fvwEgqPBYJAIhxSs50kDI4gS8Zt/hb/xLVwnt1GT9Q1yrGU0BZw8/0waP5w/dgLE4VCCCpjeCw1LEGFGwzKD/19gDME+OWUul6aMrl1Q99zLlsXfAsDzwL04tGq8GLDGTcxFsO3+b1F0ybWTHt75sAuoijJtgSUcDk87wigcVqKEHZsjhlDYzcm9v6Xb2UZ75x3srojFXOqm47C+iw54fTg7XWN1OSlkzc8ndfnY2ipPh4+GPa10V/QOFZ6zc2yprcP/hm7QMxgN5BZkUDgvB4Nh7B1c86k6wsHhPhPD8iilZGK7PJMSwHNGoLbjCfKdKQRdcZxGBEUjpPSQlnkd+fmfo+zBL1FV9SSiKFBw9VUYHQ4a/3yE1rY92DOLMKZej+nkMRY4cjG4mshU27nu038F4IEd36a75RABKZU//bWPpp2H2W44y/z2LOp2LeaGTx0hPlVBa1fRzBvxni5mx94kLpsnsLo9lVrpFf7snYcstWBe8A2Ek/WcCmSwt3UJrV29/PzTHjq7Q1y2MJ00uliw4EMALFoMwYCf6uMHUOReQNc0dKRvonr/S6iKjDEhi9JF6zBlLOVgQz1xNieapqFEfDVUTdeeKZG/6/un/lvIzMxk9ZJLURSF3tZGbvr650bU0TQNZ2c/dcer8bmHHFLbm2tgw/Q0LCajkXBYmVRdn7sfiz2W5YvSWL5I13y+9Pr0kh8ajCLh0NgaloDLz6mDfwQmN484exWCxjkYWn3E7dmJJyWfzxVfQ6mrhb5ndGI2r6MBKW1091a/28fzrjT2lkWHSwuCgCskk2w2YhQFjIKAQRAwClDoPIkdGaW/jD5zt25CQ4ykMhEjf+sMzYIgRkzgAoIoQuRYINSBI3Oklvy9xIzAMoOLAl9ZO2LL2/r7YXdgLC5GcMRH1dFUFdXlRT5bidrfT3wwj21PP8+8jatI3JRPR1UNWTFJFOdMvNVJK1lM6drRE4WNhvNhGNA0LfJiTx2yLA/ujKeKcEjGMMyWHQ77OS2eQmrspMF+EwsvDbLvf2P491uszM9rIxCSOLWzEXenmzahmrbsUxQ40si2JWKUpqliHgUxaTbm3Tw+62/A/hRCfN7g9z5PHbX7K4iNnT1mm77mTjZcfc+wktGXB0v8RnKOVaLN3YhgNCBIBgSDAe3Qg1SrbTSFf0ujVWK2ZsfnacDwzu8xGS1IyQXE5q/BUbAcgMISXVDQNI2u422D/a9JXcY+Xy8JNcnY2o9iObubpVIRfrOEu89JNkuQXGEcjQ3sjT9EwqWbyT7oZf/RWBKuL6bTcy0ZPXGk9NiIadxFvtJOqNyN032SWtOPSIrx8O/fcVH3upkjXdEssmaLlfmrN3L64C5OHdhOcuYsJKOZBRFW4/72Bsp3PIm37hQZW1cgCbovkiiJSIKIJOiLkCTofk5qfc24z2ksGI0GQsEwkmSjr62HhIzo/ECCIBCflkB8WnSSzO63m6d1PogILP4wciDiQ6UOpanQ1CGPl7pThzi1/yyxKXbWXHNVxHlWw+8P0+n0kho3NZJHg0kcV1AKdSYz7+bxUwbUP/UkZTu3I8Rn0CGa2TcrD0tGLx/ZuJjFZfXYMiXkzDji89Mxpibj3XWSjIUfGbWvvkAf1/acYU3WSG2RoqoEVY2wqhJUNIKqSljTqPZBUdE6MvpLsRg1pNiYiIlXBVVF0xT07Ot6riU0FQ0VNEU/jopRjMHc2wX2yaVSeDcwI7DM4KJAXHgN5sJ4kBVUZy/BE6cgFEBTNYRhzn2izYQxfzbisuWsAIJ+P0d37yY+PpUWx1nMKQnIVf2weawzTQ+ewPRFFllRps3REA6Hp2QSijpvWB6MTtI0jeaD+0ir66WNFjKzDmASi/m3D7yMPeSg0DYbe7IDXGAzaDjjt7A4PoEGVzOneiqQtUiunsijGJ67CEASRGySAYskkVGr4JU6B1PmCLp3IqLNiKUgblJjT3LMIWPe5AVKgNPd99GxvxVBEtEEAUtbPZ4je5DlMII5iCgIukDc342/qpm+rrPEJCdxxlVDsiUJuS2f0/4eiF+NKWTA74nFa1JQktowx2WBBiHPHnpO7B68cL8rQKvrGQw4UN8uQUAgNdjH1Z0+ZEsnu1iJzbEGe+AYzSaRsOakYGcr2bnFdBt9LHb10v/aK/RvXUTtT5L52U8vIycvRFCycVJay+E6gUUp84md1U1Gn4z7lJU1iwWSFQlXPgTLFbadeCH6oQBYIOx1UlfeR314yKcjPj2X+PRcnnh1L5dmZ094T89OU7tnNBkJBcJYY2OIT7+YSSCHYJGMiFVBGr1tg89nwM8WBBBBVWUaun6IL3YJ+bPupOZU02DF1BSV3750gO99eGqTh8Gom4TGgiYJ7DjwIh6vE01Vh9JxCSBokfxmcQoHZltwZsUTJ8Rg8wZY0XGG4sadvGz5BsvDIap21tP31BmWXFs8VgAYAEEljEkafc6QRBGbCOd2cEjz8/X932DZi3OZYzBizMpk1b9PMa+SqxX8/VNrc5ExI7DM4KJBEAUwGZBSUpEm6ZxptlpZs2ULAKs26xONv7KZvqd3knDL2GYJsyOBA8/+DlVTScwtpmTZ+KpMh2X6RiGnN0BCzPQM3FP1YRmOcDiMLXJe1efBUrOLqz58D846J41vP4203M3yD39n1LZ1O/aRZMskyZbJZAK9w4qMVw7gl8OUZfaSlWnX8/yhz8iqX8Z3pGPSAst0EDSlYJsdj6Dq2jgx83ZMksrJYzUUzJ2NyWLSw1STi/n4SRVUia91dtF68A160mdRfLKVRZs2E5Jz2Hr3NfzhzG7WHHsLU/8c3PGrsMQlkT4rmsq86aUnWXmtziLX3dxNR10jJxvN7Gm5Ap8hiH3pNubnHEcNqpirV5LkTeYXi2JZmNCMKvWQ4lvJXCGLQs1K+pWPIyd56c4xkbNgKfv6fCw0bqBk4yK8QS+7Dz5Oos+DpKVx7dY0/vhHyEqHTQvzxr0vP37lzIgyn9vFE6/upaffw4euXk1C3Oj+RJ2hdp7f/3xUWW1/LYnWRBLMCWNmEg/6QlSX19Ab08Czu/7CLn8vqxI3jFp3OI5rCUzeUBsNEQH7HImC5aP7evjdLVTvu4+1a+7n7vpm1FgNowB3DHMqbg1PnXW23S6yu76HhW7/oFPzADTgrViV/yheQXxsEoYxBAmA664Y+vvZ1/9Kcls38V9+hBtffgTRks6cr39y0LTcvGP/mP0ElRDGKTi/aqpKqimOX27+Jf1LPRiC5smmdotG2A+GydFIvFuYEVhmcFHQfuQMQkPkJdMi/wYmw4FJYNiHANiJx2Qe3VzS2Rjk8LPbkAI9pFiNnGvUETHha/dzMlxPkt1M057XSBDO4ZWIaAg0EYK1KvvVRkRR36WLkkhA8eMTg3rWU0lEEiUkScAgSRgkEUmSMEgSfT2deFsrdVuwKCKIkv63IIEYsRGLUqRcGPa3iM/rQQ6rBP0hBElAFAeysE5sopHDCsYIr4Jkd5Dxsf8HgC0H/I1tFFw3ngZjaholo2QgXooh1qQhxvoxpQ2p1YMNTrxHOojdNDmnwenCbIvDkTJcMNSfpzHBhTEmA0einT0Pf49Op58FgVksinGQe6aSwpwgXssOnl37MTqFRJZF0jSE/DnsK/ghV8+KxyRotJa9PUJgMZhEWqoaOfLyOwR9Hi6/+w7y5xXR/+YRup0BSlrj8SsrEYwumosNxLhCzDJvoz8hFWd/K12xO8h5wU1a2iL67UHiMy5jQ3srHs9RDttPsMtawYKqT/Lc2Ve5a9VdNBhqeeE/vTy5QiQ1L0zIL/Krw92kC0FWxIbJyC7Aco73p1p1iOfVtmElGok2EygBTGEPB59/hrgYK3JdHUlpmaio7Os4RNqC5fiDvXx49V1R/b109iUKEwopTZxM9JAufvRWbWNjdgHptvFpxeSDdZza/6tJ9Huujg+UsEyyOnaE0MkzbbzduJYETiH3JNOV7ePu5dGO5YnhPp5/6S1Af78mk+asW1ZYUJzPlXNH50iprmokOSF91GOjwe3uIbW3h3X/8XsA4j713Um3BQjKIUzS5AUWWVEwiBJmyUxa0nkIHHIQrPHTb38RMCOwzOCiQCkUyV24gMGJQhzS6Q5EgAiiOPi3qqo0vX6Y5M0rR/S1c3cDlvVz2Lg0kyd3nGDz5sVjnncg+Pbk64eZv3X5YLmmabqGIEIitXSRhqboRFKKrKKqGo0HKildV6RnQpUVFEVFVhVkWdUzo8oKoaDMaq0cxe/QbcKqEknJrqKpCoKm6fZhVR0s1+vo5fbKVuoDcYjGTp3MSh0gsRpbpBiYwvtOtqAanHgSHCPqmJ1tdD3wuzHvi7XLz+sJeSPKJxJjNGBOSrTgV/HM28QUpOE57IyqN57Oqr3nDH2BqeWh6evQONC0HU1RUMMh5MZG0mbNoae9hfxZSYCddR//Hmo4hO0P36PAtpD21XcR17sId7gMS14hs0wJHGzpxaiFcLvDmGwOMjN1Qaujws5rT/2egliN3FU3IFjj6W07gyV5PsWrljJrfiG2WBuVD73FxrlZtKhesjOyONNajYN20jsTSV6wjOauz7BmXiZv7DnFEn+QYMxr/GztHIwOlTRjiIXV+Sw+/nsWCSLumDgsnT/n0vmz6at6io1uP//99oBTqu6/omp29h98GptUwtkjb6OEA2iCOHh/L5+lsvraic0cZx75C3M+cicAOX1XcerNJ0kxWPF6+giJfno89RQkr6az6XFmme6GSQksOgocmbT4eicUWDKtKcxbML6/x1jQNI3wjufGPL5g/kLaOh3Ud/hYavTw6OsN3DFnNvHWoU2PQ/FyxdVXTcnnrMcfZH/FSC3WAPoDfTx04qFJ9+fffpiliasof+75MesIjjBjGfSCagi7YfJaWUUJcrK9HllV0Pp6KPD2Tjy5MCTIDZqJne1kb/0k76c4oRmBZQYXBZLRiME8Oem+50w9zpo24opG39H0OAPcdI2+05os0atoip6gBEGImHmFqIVVgsEX0mQxkBQ7sYNea0cKiSVrJjeQcxD0vEXOpvkI03B6rQsHyFi1BkvS1M0wix5/lcSFY7NqTgX9Qg/zr7oOyTT5qaztmTrmrrx9Wuc7dN//kpibR/LVa0mctwBp+w4MwpCOW1VlTBYr7aHD5GxaREr2RyivzWNxoB9FC2DpfQ3JN5tsNRnRq/LY9jIANIpJL4ohK8uEq+EE9bUVtIUMLOzYjahqdOw6gCAI1NmsxFtKkX119Dz+MqIcwjtfIaQUY2sVaBMSOepz0Fy4kO8vyIc7buPAtke47fBbvNmWR3jzOrqZRUJGHjYtiNUG2ZnXYpqzkrKjL4y4Xr+rE1Ogj7SCBaQVLBhxvP6VP0zqvrW21+B+7sGIhlNDMppQwyF2fPczOIuPISxcTHPvekpzrhyPJ21U2IxmfJPIKyQg6ML7NJzUhUgUy1iw2EysmRtL6HAX5qwUUmLN/PntE3zndt10XL5nF82VZxCunJrvlN1kJCCP7cOSYEnk08VXT7q/39bJXHLDJ8etU17++JjHPAE/JzpUqs1tCJKALEC22ahrZiURSdQJ8CRJd6yWRIFrl9+MKIq85jvF5ktvnvRYh8PV1YnT4yf5fcTNPyOwzOA9haaq9J9pZvbN0YnvKirgu/8V5q67G8hImZqX/8VGla+ZukO/HpxKNYCGDhYpA2kFxp5kXSe9CJdPL1RQCctI5vf2lVWCYVxtHVMSVqaLo7/6BZbEJJKLism/ZohfRzhnuygIIgG/F0PeQroP/Bc9J46RvOZVVmdspr73BMnJAstybuJg7UHqek4DYDFY2DxnM3G2OPx9baiKnkfJb0shZ8vHdCbccBBNVRBf/g+cLjdWoR4xIYM4pxdTjJu+uBZMiQ1cagnh0JqxqU3Ap2h3uugIzsFx2TIueflHOI9W4bpuHhtX3U2MY2Khser4cyQXbTzv++dbNJtNmz8apckE4LYvAlDRvo0TdX/AaM5CE6fmk2URjbiUiUOkJcmArIQwiNOLjBsPPS1dtNY2cettI5NmAric/dx2z9em3K9ZFAid7+CGISYmhn5vP/H2+DHr+Hxn6Og4hCia9H+SCSnyd56nn0V5RVhj09AUlf6gjE9WIozNkRB2WUUJaYQHtMYRTfKc1tFZqifCmRNlNFVVsmjVqmle9cXBjMAyg/cWgoCqKgRdHsyxuumhtaWRHUcqaezO46C0j8ul6/n4x+G22+Brd+Wy4cm/cvzNPv6w8zp++vnDAIOU+AO7sp6aJk6PukMbbrzQovSg/b19FDAxOhMLuW3FbVFlB1p+R8yt/zZhWyM7J3GGaIT8IVoq66g6dYL8KyeXG2kELlCmeMlsZPba1ey+74+s//L4u0aAE/t+g0GyIEvNnI5wV4wGW2wO2bMvQdM0ZMFIzV8fxhQbR+ltH9KdfIOybjoTBPyeAEpIJeQO6BwjikL6rHkI/r+QkJuPI/t3uJ0t1Pc10OtpxpgShyiKrC5czerC1QA8tOMhDtacRAgl4vV6MFYeQEDDo2bS8vYjCKKAIBlpbQoQ6i1A6vEQ8CdhWHwlSp8Hf8MZ0rJrkGZVU6QaoQv6u2r5u1hBmz/Ir9eV0PrII3jVdgxrr+c1qYikw39HPXqUwvmXRh6HQEtQZtE5j1SKSdUdHs8TohghHBwDpembKE3fRLOrmQMt+3jjO3cRt2gZ8Vn5lKwbXythNRgJqhM7tFokA8FQAIPxwgssRoOBhJSkMY9PIe3WOe3GbygAqqYiTkDRHwgHOFpzlM7eTuq66lhiH5uBOD//EwSDHlQ1hKp6ULUQmhpGVcN0NjWxOHkxglFEMIokWgxMNk6r4WzdJGtGIyMrixMHD+i+d+8jzAgsM3hvoYGIhGgyIsvwwQ9CXaOdFUs3MGeWiW9vKGDzz+8luf87/PznAsGwidUfuZlvX/sYJ5pzKb69gIoK+MlP4OGH9S4rKuB/f32W578zNsfHaNixY3Q2V9B9bJ555hlSU1NxBVw8eehJQFd5mwwmJuuC1+90c+D57ZFr10bmHBIGjFZDToiSUSItP4fcHAui6b2lyvb19OPv6qdg/epJ1TdIFuaunFiwqSp7guoT/+BA0I3VtArD/MW421SyXtVzQQ3dJY00xUJXQy9Sq0vnGJEktI54OqWr6PLYqf7rX1l+w20ULi8hKFno6u4nlB0iFArh9Dt59cyrLMlaz6tvHuMzt88nLsaGZYPOH/Lkq3uZtXUoBUTjP/ax/mO6+S/g9XNy20GwQxA7Sz/z46hr6HvlRdZFIlT6KyvxnDxJa/5tvHk0hdQkDw1r5vPO3FLuXTSbpHSdPLHz4JER92Lhspt0U1Hu4knd46mg+uQTNDprsRiH/KB8x1/F688nYDDStm8Pfb7neNp3mOS0jDH76QsFyEpYMebxAZiNRvzhEBdDR2pxWAnWnr9gNxrGE1lMkoGAEsJmGF8Ie/ytx9mwfANf+8DEWp7U1LG5TrS+k5gugsA3HuKTktl63fWoyvQ0NBcLUxJYHnjgAR544AHq6+sBmDdvHv/1X//FVVddBUBHRwff/OY3eeONN+jv7+fSSy/l/vvvp6ho7LTYDz/8MHfdddeIcr/fP22CrRn886D51aOkrCnCaDHzj39AcTF8795GXvhHFg89mMrWLRLHDn6HQFDPoqxoVnr7BL771B14PSof+5jI7bcL7N4d3e90mGjH21n5fD5Urwmpxsn6hCT81kSS0tLIKSrhqUNPgQau3nZiE8cXXWLtvcy5YWo29QG4j+ycUrbmC42Kl96h7VQF6z5/F6YY68QNAEXzTqpe8SLdv6WuYT+XZS3AbDDx+olWEsbwuxme01sJy7hP19FxKkRMQgxxqfNJSMknMa0IoyWJ7Yf/SIcYxGAwEGuO5falt/PAP97mMx+8nrRRHJiHw2geut8dta04kuMpWDoPcRQfpHA4zJkzZ5AkCclg4ERaPJ7mY3x0xRqW975K6BBkxudy/I1KElNrAWgMizzY2ImsaYSGha8sbTvF8aORL5GcQQNHlbBM3rijjmCUcBjZaGFRyU0kJw852KqzP0Dbn7+CbXYR9rYmAgs+ydsdybT7BbqtIb6xcQvmc0LxO/xu3uqYmElWCsXQv/cYMbbIUjMyGGjYeEce29tch3Dw9dEvT1Wp627i+KGRDrIaGp6+RtZy3YRjnCrMogFfeGKBZfHcxVQ1VZGfkn9e55N9IaRp8uecDzRVmTZB5sXClO5CdnY2P/nJTygs1Fkt//KXv3DDDTdw7Ngx5s6dy4033ojRaOT5558nNjaWn//851x++eWcPn0au31sGTs2NpbKysqoshlh5f8fUA0q9kgunJoaWLYMjjcdxWRcgsMBzc0gywKqIqIqMDCb9TutKLLAU0+BogfhcOut0N8Pc+Zc+HFWVr6A4lawByTqa/fTnp1E88tVYBSJvXQBC6257Pvdf7P1278dv6PzSEbmCgWpfOKJqH4EQYwyh2nD+h/4Hmhxkyol43qncfTxTCAE9TnbcYW6URWFjd/47JSEpvESxclKiOcbDiAKsC5tPn0hH1WePi4bGNok+g+6vDS8coj4VaXkaH7mbVhOau6QZkBAZFnWMpYv06Nqnt15lDfbK7lq/fIJhRWA2JQ4yt48yqItSxFEI5YYK0ooRH1FHV31LYT8AeasW0ZaQRaapmG321FVFVmWueSDdyLLMqqqcHa/hE0QSbclkrFhhW5OECCnvIKb0hMwiSKW4eHted8ac0x/qXsO+chJVEWPZFMUBVVVUCKRbYqqoKkqNTXt/Na2PUo26Ont5UMWN8nDsl2ISWkE8m+lYp8ZMWY1/zjeiD8tzMJgAYnBJD75vSf4mLOSUq0P25LFJN19N2owyMHGPnBXDPYje0KkmhOGhDlBoNkjsXH+Siyzpue5Gb/DxNKV06P2f67uF5x+5C/6UCJl5/6mhnSZ0b/pcvPYv41TPW1YT7xNvGVktvbhON3TTFoojfJG/2ANALmrE0NKCqNjuHZVR2+PC2dLG23hMK3LR0ZRjoeGrhrS9tYgiQZEScIoGjGIBiSDEYMoYZCMGCQjkihhlIxIkhGjZMRgMOLt6yEtKWtK57vYmJLAct110dLqj370Ix544AH279+P0Whk//79nDx5knnz9Fj43/72t6SmpvLYY49x9913j9mvIAikp08+rn0G73/0B5/h9MHjUWUaGmdqzyIKInG2AsymTNSggmfXCQRBwByM543nrNx4SwK/eqoetyeJtjYTmibAOcF1ihwJh5YVzh7pxNUdT0qwmp989ChPbC+mQUll9+uvDtZ/ozFMaWHu4Nrsch1jRfa50Tb9lJe3AiBr0C6HaA05CWkhetwd2MMxZOVkcTTVA4F5eC0GEpJj0QJWTikdJJck4Xni/sGr1RE9ianNdcCd07qncno6JVdHv4Pl5Y8x9nQc+V5qp6K+iU2bb5rWeY/910vkrdFDxBtfOzRu3WZXF8QP7cpURnfMbHU18kbHWW7JW41VMvJO63G6Ah4uTcnDHMkvpHiChNx+mrcdRzRKQ1w+wwQmJRBm9gfWI0kGMopHBoaKokRbbQ3fLauj15FFYkoSKRkpNPcpbDtcT6THwcWmtkMj/8VoEi+vU+DQK3WEA2HQOji9p4G6fmjEjtEYw5HHd2J2JmFyGFl0WQyJ5yQg7OvsoC3RRH+fSn4jOK5IpKqpnL7eTna0yhx+p4qmPh+P3rKEGNPEO9rO+Hw2JCcgRniBDAYDokGM8AUZkCJ/X7V1I6IY/ftrqc/AF4iOgOl96xleePLPxMbMYt/86yjJ2ENJsI2q+nnEzFvO5z+/jJPbDGy64jJCzTrVvlGD65NULps3pKmpO1JJan489mGCYLDFjdIbnSRxKtAM09co2s0ic2/72LTafvDhP7Jgxejvy/od24gpuI744uJRjw9gLNf6rgd+R8qNN055TDvf2c11c6e2Tv7akMuW2UuRlTCyHEZRZcJyePB7WAmjKPpnIBxADrj1Y4pMi6+F9VnpxE95pBcP09YzKYrCU089hdfrZc2aNQQjScqGa0YkScJkMrF79+5xBRaPx0Nubi6KorB48WJ+8IMfsGTJ2A5KAMFgcPCcAC7X+SV4m8GFRU7hFSQljWTCnLdS9weprd2D11uPBhitEsXFV1G8Hm7/gMJ///flGCVoabYjyxC96EcvztmzDGz5QCZVv4HLP76IwlsWce1iePNrHbSqcYNL+IrZJq7btAi/10/zmbPs62vHbo8nHA4OaigSEiyAxovBZBalWMm22LkkPp8YczyyolK7sBuH5OexFxJZP0ukPyaGKzeuZ3ZmLo1vvsWsLRNH/9gnGZI6Ouo5ceKxKIVIevpSUlLGJtcaQJd1J572WmLSJ+NWHI1Fa64i/qrJqbW9248zd+Piwe+Hj9TT1RWtPX2zvY1+0caW5BV09SsIgkKxZQ4lVgFJgJY+H6IgcPrsCeZ7usm9agWScWiqanrnLdwtzSSVzCF1xdoRGp9+r5vyuia6e7oQBJHu+GQ2zs/hspUT+1w8IUqsWDoexX30ItXa4aWuNhfJKNDjq2JbxXb8so/i9GJW5uu7YQEDPmcIR9BCh+JEfOgZnq3+K4vv+BhzEs1gt9LtDVHe7WZN5sSaCHNcPHm509v5yuEwRmO0H1T4+ce4alUs9aqNdIObA66PcLRfZWN+KqePPMI7ZUf45NrbMKSkDGoGDJIBVYmmTzWaTLpQNwyixYAcnFwCw1FxPhZQy/RJ0wzj8J6IkoQqT51BdwCa3zflNr5AEKskIU2RDkGURCwmKwMcP1NBZW8lJuM/OdNteXk5a9asIRAIEBMTw7PPPsvcuXMJh8Pk5ubyrW99iwcffBC73c7Pf/5z2tvbaWtrG7O/0tJSHn74YRYsWIDL5eKXv/wl69ato6ysbFzfl3vvvZfvf//7Ux3+DN4lhJydaImqngn0HIiiSGHhJcAlBINe9u79IcXFV1H19BN843of+RmlvPRmPAfKCvXsotrwWUsb9jmQD0fDYNA4dkzkllvgf774IM6+ZbSlDPk/ZB7YxZ6ONoxmMyn52SxyJZOTcxlmsw1pWCRFr89P3d6j/MfSNVF+MAZJpDhdTy+wcYnE7eMuahcHMTEOFi780LTappRcStPhJ7Cl5iJO0fNfNE++vigKdNW0klKo3/vcWZvxn5OPRK5WWLZkNj3eIIqma960SMCWBqiaRsgVJD9sJPeKISFD0zT6Guroa6xHdu2mu/I0HZ59SDEOfN5WJIMFUTDQHGpg0fxvs37enCn7/EzVYJeZZiczwgL89r5GNszfSozVzpGzR3j0wKNIgoRDcKD5RVIM2Uj1zTg7H6M00c+r5X/DknYVpzph3SwbHaHTPFOr4lIUPh4Ja+7wBdjR0EwwHB4UVD09PmB6CemqZTfdzbtp6R5awMylN6OJKjXrVDKM8WS85md+29sk96SyMruIsEOCthMceLZMv58ayIEA2bYsWDjUt9FsJByMDggWzQbUcfLyXFxMX9oZ73cgGo2o8vSdUYVJ8lMNx65jJ1i/ZN7EFc8913ncA0VTkP7Zo4RKSko4fvw4/f39PP3003zsYx9jx44dzJ07l6effppPfvKTJCYmIkkSl19++aBD7lhYvXo1q1cPRRysW7eOpUuXcv/99/OrX41N6fytb32Lr371q4PfXS4XOTkXlyp8BpOH8HI9bQUPRHwkRP1TFHDMX4Vj1rLBeqJkID5e1xDMue02dv39EfaVvcXh+jXEZSfR15AEKGha9IsjChqqJtDcqPD8Y/0YFRtvb/Pxyvxe5sXGkZ4E9yzPG6y/p6OSdddsBUD2B6ivq8RmG2mnrujpw26QCCsK5jEdzkZOAoqnj2BfLwCmuPgxndVCwfAIP5PJQs+wOn2kFF1Gd8UOUude4EySw1ByyULO7Dg+KLCMpv0prD7Kqvyxw1EBug62046Nqpf1yC1N1XC+9CaZ169FNFUTl5eDOS4DwSCBopJkL8CSnE/Yd4TKpiQONLdzoLl9MCHdcKiaypyMNOZnjoyC0RSF3ooKXA1NCKKAElKIzU7Tj+lJbaPckIZ3HWjohsV6ybLZy1g2W/+dN/U2cSR8kGcq34KsfjbFzCcUF8fHPKdxOB9GEJMwx27B29ALYZmOVAf3n3KRMLuIeIOBq3KzcdiGBIxHu4+Pe+/GQ78SYv3iT5OdMMwcGnGLGBQN58C+J+qYd/s95zYfhM/ppGNndIi+wWwiGIg2/wgWCe18NCzvQ4iS4bw0LExDCKjrCkO9B/AMlvX09qAmGqLmEO0cU/SZpr08FDgR1ZeAMGbOqOHo9HXyxSVfnPJYLyamLLCYTKZBp9vly5dz6NAhfvnLX/Lggw+ybNkyjh8/jtPpJBQKkZKSwqpVq1i+fPkEvQ5BFEVWrFhBdXX1uPXMZjPmaUiqM3h3ELN4DTGXRBM6qeEQDX/6Lo7P6BP5aw17OX2yg2MVGlf1H9dfvOyFlHtc5C+G5HonrpYE5PDIF1zVdIFAE8BeGCA/Npaf/dqMJGQikUmc1UhPWztyWIZwmMCpk+zu7WH9R+9AUWSEUfgpXj3bgFHTuG/jRCG7I1/2pAUL6auswtncQdbKhcTMGt2EEquYqH5laKIfEF4EQBuW6KSrLogpNy7KBy8sp3Fy33YGGwyD3NZObnwVUlTSu5GE+ebaKgId2tibz8i5mju76U3RVzJzh4/gO3XRlx5pH/SFueTaITOJIAiE/CFObz8OgKLKlK5ZiNFqQlVVeho68fY6CQfCGC1jq9175Hb8AZV5V27U8zzVNBE0mYnbuoZs9CgrTVVBltFUlbC/n+4Hv0P6Z77P0t59FC1dOGbfIUXlb7v30up0c8WcaBOPI1iJIS6H3C2XIYgiis9HoLd74OL0VFHnCJkDX5P9u5G0IAM5jwaQk5hDztocjObXeKL8H1y68mbePvskQVshSdISEntFvOVBElJLSC4qwnr6FFlNJ7lsxTLisi6s02NXoBPrJNT88XnFNFccIbt02ajHRSK5MIfBaDbidbqj6xnEC8YBNFWcj3ZhvEGLRiNycGK/HE3TKHvodazx0aR8IaeV3ieihb3urgYS41UGXiy/00+CIZ34FN0f6o54O7HnRMy5eu10V7dRsGrslAom/wluW3jbmMfHw56WPcSaRk+i+V7hvGOlNE2L8iUBiIvTpffq6moOHz7MD37wgyn1d/z4cRYsGElJPYN/biiaQIdspax+NyDgCirI8dkkZydxx6bFg/W8Ha30tz2L7P93TASQtZgRfUmihtmkcfmGAN//mYmwxUVvPyiaRlDR2NHSx6aOY3TX1JJ51VYSb7yRhHj95VPDowssFT19fGXl4hHlk0FsYQmxhSAeOYbBOPZrlZiUSPqmibPciq/XU7Q1b9Ln7z22H0vGWqzps8av2PcD2HTZ+HUA3/anWblxYr+VgwOCzDAsvmqIHbP1dAPV+08Oik4JGckkuXyUvbMPJaygqiqaqmIwGLDGOihetQBvXx89Ld0kxQ4JcMGqRow50ZEVgiiihkJ4Hv85oiOeuLyFSAkTm+pMksjakmKONTaPOGaPMxNbPBRmJtls2G0T3NOBum0xjGeGqNROk5GVypu+V/j2VV8lIDfy9ukdXH3Dt6PqZS9dwmK3G2Ps6IuFOzid1Ls6Yo1JaMLE5ow5q65i7xO/HFNgkcxmtFC0+cdgMqCER2pTyntPoh2q1k1/6OGyGhFLbyRKTRjIMSaIiOjRb4IoUNV9hspjtaT7YtC0SA8Dn+iat8G/I75omqZhw0F/h4++Z4fxHQxPwDoco/jHC+6x77HuwzLxPZTdHmIyEii8/ly22JFZ550v7GfO9fpGqaesjo59laTdvBpbSvzY49Ag4Ju6P8xU8F7SKIyGKQks3/72t7nqqqvIycnB7Xbz+OOPs337dl577TUAnnrqKVJSUpg1axbl5eXcc8893HjjjVxxxVCe7TvvvJOsrCzuvfdeAL7//e+zevVqioqKcLlc/OpXv+L48eP85je/uYCXOYN3Gxoa7T19NFbXEOzq1nenkkTRrZ9nddqwhacEnjzdypdfO00GEkluNyk+H1kJl/D3Ow9hjPHzYlonvb05fLznHRJmbSZkzKS3oZc5H7yE+FnJEKGl8rn7aa47RCjoItMbZKcjDUNhAkuTkskvGFp0NFUZNZdPgvX8Q+llWRmftn6S7/9UpwlVDiFOxkFukupoT3ByNnqDO4x7Z1MkSzX64mMQ6Pe50Kz6ohMbG6czxwoChDSsDitzrh45afe2dXHk1Z0YTSbW3nIZ9a8doOdUPUlFWTTX1rKvtoqM3m78ssKu7XUEQjK//c+bEa0xxNz+pcF+JnPvZEXBZDDw1NEyvX5k0ZI6mmDaeyVt3Am+oreCb6/6NnlxeZGSHI43jBSaRFHEFDd2viiHeRrcGJqGoihYJDOnu0+RJ6fpYa2iAaNoRBJ0+n4BIfIJqlHE3dWMxR6LoBh0TdKAPUxRkANhgh7/oJYwHJYJ9/oI9/hB1IUQRAFvlsLGpZcM6zv6U1VVXRgZ+Iw4NKmaxoLCpby++zGWX6KnZohqLwz1A3o+HUFnXqT59WOsu+PqaDbayKMZTL46zrPqfE7A6/UiCQKiwLBxQTAURO1pQ26q1IUnRR5McIoqoykqoOJrbMNoz5vw0bh6+qKcleNKs3CebRtXWGk4XoPP5aF0w+Jx+36/CRzniykJLB0dHXz0ox+lra2NuLg4Fi5cyGuvvcaWLVsAaGtr46tf/SodHR1kZGRw55138t3vRqfSbmxsjHJm7O/v59Of/jTt7e3ExcWxZMkSdu7cycqVU4s3n8H7C2/7whRVVFJaVEDs6vGjM6pbPMRZDHg1uIQEsuNTUDNUuhvrSFCb+Jw7H02CV5TLqO9WgGZ6DBKeM/UYapqolMOs9PRzpdSPIy2EJJlYmmnC1VuL6i2gd89uPCcG1LICQZ+XfqeMf/uxYaMQ8IkSr53Qw5qFcfhJKs728FRPcFjLoU2apzVIvvMggsmCIwBJ5whGoZp+hGDDUIvB1KjDtnkCdNS5KRz3rg0h0NlKuP4EQsnYZpChwU5OYLFPMmeRbDcQsyYTTdVA0fTIEVnD1KbQWN/I3HULUZXIYqSoaKrG2abR1emJGSmsvWXL4PecjXNp/r9P85opm8rM9SxLdiCrCv9T2cmcBAPxnfDYl/6TWz4eHZ3V0+XEduwYqiyjKsrgP02WURQFTVEwKCpzVCUS6TK06/Y0VuN/7j6GnupoDt+j/y48zkp+KyZiMdoGawvDfhwhYx4vtLcidrQP9uAU4/l7eQWKpiGdPkb+CJPeSBS07qVMGCJtOzeoXYj8lrRhv19B0zC6d5KYs444LPQ7WwhrCmFVQVEVZC2i9RjoSQOl1Erf0VcQVB9iSzz2lGhHX2tGCe3lOrfPwMKY6kgmWOcEVRc6lGAY36N/oC05k9yiMcxLA+vBKFpPC1asooXYcfLwjAZJFDGcB9naQaeJMwfO6JdBRPiKfGoK5LYdxGRwEheXoj9k0aD7rQmifh2ChOLvJHnxxNJvfVk9xauHTJMGswl7QRL1rxwAFTRR0/1ONA2TzUZskZ2e1gqWXn3thH1PxlflnwlTeqJ//OPYuUAAvvSlL/GlL31p3Drbt2+P+v6LX/yCX/ziF1MZxgz+CRC3fDnzksa2f4YUlf86UUuhD5al2unr8iIGNaQUMzUBH7MqD5CJiNzlwbcik5yNl3DXsJD5U9t+S3yxRFbWEs729KEBhUmTI6fy9rjoamgnb2m0/8LcSV6b2OVny2Vj0f4Plb/0ei1Lt5wTRryFcaFFkpb1heonORroP7aHuEtvxRQbP+k2E2Gye3ijUcITVHDEmKLapSZkEwgG6G3qInv+OaalSXJrdL35AOk3fZEbqw/T4goR6jdQddbNXThJmd1Ln7OFuFKZVmc7xrcfJWPpJowJGeR1dyLMtSIZJATJgGiQEA0GJElCMBqHPg0GBIMhagPV9UAb1hs/O6nxhYJBzrz8MoqiYDQaaQ2l0dZWyP9sHT2a43Nzxn74jf1OmpQAayegcwBof72F9I23TGqMw9FzooXSBbdNbdc9Fzx91Sg9YeIKo9+Q+Ek0d3d3Y7bGoHg8E1ceA6OZby82SrJTWLl5bJPomb0d9FtiSF06tnlX6fdhzZg42aVkMGCyRmtH0xaXwOKRdWsOHqLu9E/pCRQjHSjEYjNjthrpaOoBhkTsAWG509k74fn/mTCTS2gG7xq6enx0NDkJKCrVvV4WJWuUJtroPuthXkkSC4t0+s2W1hqa9hyksnkTC+bGY+2RqPjVQ5R+7AakNH2Xl54cxiP7KSv7O4IgIIoSctwNGCagywY9bHbamdGmgOnsbgRBQJB09fZkYVBc2NImSSg1SartkKzwzPboPDdeTaU7IVXP/gtIgN/loUgafayzlhRyattRspkaNbmmqrQ/8wPU6jdxxRTR7UzkqEvGaegmc4mNuN79bLnk48R+aC1v/u2bpF56HRbRTPvRbcheJ96OWvLK3gBNQ4xxYNl4A6Jj/KikqYzNVXac7hNldHR20h2fwCW33EJCYhI7duxntuDnsUND923gzoQVlTlpKSzPzxu1X6/bhTVmYubd84IwPROBGgwimqfO4wGgGSVSPvl5CuavnbjymJ28B1qC8W6TpuFvPYUhrZTWugrMZjNhTSI9K9rXSVMCiOapZcGeCIpqpSD/XtYUZONx+fC5/fi9QZaumztyztCgaf8o7Nb/xJgRWGbwruHYoWaKl2ZQlGwn1xnkVFkbXf1hllyaS0qsLmhUnnyToNHOiv/4FRkvvERa93No1jlo+Qqu33yDhK3rQA6A9zi5V99Dbq4+EQYCHsrLH8VgTKC05JoR5FhRUMf3NbhQOJ8ohaNOL/Vvnh2eTHoQ587fCYEUUrY/PWgKMJ6sICctbnSLgtsJbfcPfT9niEeDApm5aRiDLm6+PFqF/3JVLVdmpZBit6FqGooGu8R2XXIZBd5+D85eJ288/AKXf/TaUfPvnAtNVWj+61cQ40tQbQUcKa9GsceRam1ndck80DyEDGsJN+5k2wvPkFRShCNej6TJ2fgBAOoFiLn6bjRVpfvsbo7/8rMs+/c/YbaOdN6ecDyahrPsOD3Hj+m+CaKAtaSE3Ds+Qr4k4XX2c/zAPi658hoWB/pYv3V0GoewIvPMsfIxBZZgMIT5PIjOLiaUYAizZWyfmvGgKTqdwXlhnHf1iVd2jTBzpnkgm/NM2jeejCQILL31G8gBDy0NNXg9LrqPvUj6ndHBJT3ePo7u3DW4cRE0AU3VdJaHga4Q8Ha7ORU6hMEkIklGblj34RGnVBWFo6/tw+d0k1m0BkkSiUuIIS5h/N90l6uXXUcPIwoioigiCnr6B32TJyCJup+ZKIiRv/V6BlGiz+mC9xcz/4zAMoOLA1XTOH6ynWBAnzg0DWISrJgRMIsiKQlWcgrj+FvtKY40NeKIOIwmtOzhw1u/B0DuDdex+7nnWLDpVuLiZmFZug8SMyEuB07eH3U+iyWGJUs+gd/fzenTjyHLAqYxMhvLgX4y45bApL1E3n0kJFm5dctks01H19vb/iJzbpte0reE556n8NIbRj0morsmAPrEJ4BZFFDGCKg4+to+ElISSctO4+jr+1h+9ToAursOU7bvLAaDFUdcNo74Qtz91QTr3iZGzUOadRmtu5/Cu+RTeM++yi13f0OXq85ZuBY4duNtHpn4rrnzJM0H7yck+0lLLGTBl37N0ZcfRhINzN90C7aEsfK46FFm/SfL6Tp4YPCctuJi8j5y56gJ6BwJiaOSI54Lo2TAHwrx6KEj9IdkPrcuOnLE53aSZEmdsB9UFSnknLjeaJimokINBRHjpidMKbJCh6eHrv5eNE1DRR2K9onEDamR6J7jTcc4UVbG1VfchKZaUDUNVYXa9n6OllcOuMXo5Zq+iCMZuX1rNA3Bm+/UUrh56ozOw9HsCVBxsgWTQRzKnh6xtwgRGUwAHHLw/2PvPcPjuM7z79+UrdhF7x0gCIAgCfbeSVGiumT1YlnujmtsJ3EclzhxHNv5J+62bMtFclGx1bvYe++dINF7xy62z87M+2EXfReNpKzkxX1dwO7OnDlTdnbOc55y35iqDpBjaMN18gl0qe8e0TGJB7l59dhK5YPxwu7fj1jW2+Xi0CubWXLnBuxJEzMc52rLKS5MRtU0NE1H1YLh66qhaqGcMlXX0LTQnxoMoukaug6J7eOrjnsvMWWwTOG64MSRRj62vID4uOiuZIPm4MbEGJbPHJjJ13mrOHcwRBjo1nzUJuezY/fXWJe2JDRedYXc7Z3uo9wRoU+LJZk5c0bXD/F0NODrbZvwOfk8Cq9uvsL0nHE+NK5iYnk1DqCr45+IjqM9LjYWDjUCJUFA1UZaLLquM/+GYjyddSi+ZlyGdk6frkPXVfJm5ZGcMoOM9Pl0t1fh6K7AIMWTbrdjX/4ZKva+jlI4hzRLHYbUxKjesOTZKzEnpnPxL/9Dauk84kpXIBlNOHIWcOviDw5pu+zez+L19nJ210toXu9AOW2YREsN+NFFgSvdx9jQVkzRhz86Li+c1+VC7ueDGt0ieHx5yEj5r227RqwTLVaMo9DBe5xurLExIIqoxkl4O3Qdj+MMkwmMqS4fYtYoHstRIPsN0BBLhVwzUJ2DMKR6R0Rk10knF7nMA4sWs6fmDGebO1iXlMmS3hMsL1qC2WoLGQlCyFgWBBARWDB7pJ6P6lP7c8F0LUQUKIgisjz+6qq0DBsr8pPxBVUQhJB5pYf4i3QdNDQOtV3ggr+VL2x8HItRDslcaQqhH75Ik+RhvFOOPkS647Y/9SK3fu5hZMMo1YdRoCkCSfHjy+0bjjqlc1LbXU9MGSxTuC7Iy4mjqtbB/PJRDBbJQOqwGG/unAF36NbarZTHpOFuPMDKOZ8Y0m7vZTOBoAejPIkYsa4hTpSyXdd5/vWLPHJ3GbJxnEmAVxF7/1uE7ceCTRRw+QPEiiJBVcNokPsY7wBQA1566k/TXrcVszmTuPS5xGXOwmCLJzPK9U5Kn05SekiCw+k8BEDxytth5fg8RLasIkru+xKOK6eo3/4nNCWI3Nsasa3FYmfRptGN2ebdvyd79diaUH2QjUY8Dgf7t26mb7jZfuQCLa2dOD0+dlV28+ev3MNzbx/g4VtDHqaFGWk8c+RY/+AkAM2trdw9e2Sy7sGXd6MEXLQ3XCbVlkyCMZWk+HEfHgBdVc+h9TZgjZs1sQ37YNIRxlldNhy6AgtKykifmTxqu0Vz4asvVlLR6yPWlMy3N27i2JnXOHeylpSW4/hXfBLV48FxpRN9zU3ohAyXpERthGRQTJyJrTuqQRjwBHb0+LjvzvHLuMuiQJotslcpoPp5+vJeNmUv4BFb9ApIXZ64V6pvsqHrOo1/+Vfk+ExmpHXRtv1lJNlAqGYJTjb34Ewbm89JqzjJpeebCHgCmO0mstaUY00Zn8H7PnwETRksU7h2CDr8KA0ukATEml7KbxldzVTWRRr2bqbr3O6I6+s6zqHas/Ao9Wxt+TUwkMja6D2PtfOvWIwTnzMqnk6yMsauxhiMt969wqZ1BRGNFa+qYRYFGtvcHD3aghSuggkqkyf4uiqoVxm/j4LVmSk8ffIctteeJWHVerSYGJq6eonv8eG3xCBIMvaUMorXfHVI5c24MUnH0KVLAt/73lyeemouAG17vjO5joBgwD92o0EwGI2sv+Mutr36EqIoovnddLe1kp6awg0FKeSnVfHYfzzDhtJk6i/VIYkC0zFRaJLRgirBYBAtqJLW5aB65346kmtC3gEVlMYGTFoPFXWVxM504E6GpuYbybxylPbnf05acgbjuWhNF/YiFsUjJxbQejhU6Tm8YPuiWkNyUuSKFtHtwHrMiB7lK+1p85NnjRxeDbgCZC8fu1LG41MokBfxiaWldLp7eefyUXrEeDxrbkMJ6sTUn0EMODmhrSahsxrL0QNoOQVU5WxgXtlQiYVVK0aGMr72h2PEb68a8zj6cNnjYzjdWx9+feENNuUsIccWevbomj7AUjAoAV3XApE2HxU25zla3v0lAMlrH8ecVkikdPr0nS9y49qx/TcHOi5Q8sBqdF3HVVlPw46T6LpAb1sv9lQbmqqRvqCIhJKRsjbvRwaXKYNlCpOC+2IbSpd3KAmJCIbCWBBgU1Ia/k4HfqKEKAQwdfpZULIO+/LI/CF9TDw3RVhX8/Zh0opKsCRP3D3eU+PA7xpbC6S1zcWZc+0oqkZBXjxpqQMJbkFV4yuvnSUl3cbF1l7mZ8djavCQkWpDD3OoHe56B/ZfmfDxAZxXWxmemzJedDZLXHo+shEIUHnlMnm5ckQvUzew99230TSVy5cuUTqjDFNTE1mlM5m7aCGZjfV05k8nUFVB8rwFxKzMp/bcfgKKF4C27haogL4h8YyrmoT8tHEdt+BuxH7kpwMkbi0W5tlDFUZhJopBjcOvOvjrrAQqUvG8/DqCIGAKetn67q/78yRAwNGj01CvkFKciiU5VI2jBVWaLtUQlyJgTwx9tya3zsGXnqe38jiFJflIg93wg2lYhlGyJPo8iBYrdbteZJ5Rxi+JnN66GY9H5dFlS7Hb7byz8zIbFmcjyTKyUUaympEMEpIskT4tG2tcLKIUSoYURAF3cxcHfr6du750L8feeYeC4hs41HaC7Lv+jfzp48+G3La7moc++6Wo63Vd5+Kep1ld/Pi4+xyMt3fvoWh13tgNR4HJIJFoDV3rpBg7j8xdB0B18xkONdRhqM7DXJCEYZWL2kAjc0oSqez14FV6gZGaUMORkmFn4wTyWg4fjG7cfHbWPbxSs4+iuBCrcqChl+4XL2NIs2ItT8EyK+RNcgUnZvwCxKTlkb7oU+NoOTH/hyAI2ItysRcNq2TSdc4+vRV3u4PslZP0wL2HmDJYpjBhNJw/S7DBgyk2PID3Dx463sqhfAv9pb3Dfl+6ruNpacGaZGQyxZy6po+r6iTituroVUKNrS6e2XyZdiVIWqYdQRS43NjDlqbucPwd/EENr67zlaUFA30Nk8yqv5DP3aNwb4yGnW/+gp/v3wGMnOkMFy8b/FlAwFqcwm13jqKHdDCO2KQUMqaPnPkOdpqvvjlETHXll09gSIin8qWXkGNjiZtRRs7aNXSdOsXlp15nxgOPEJufH3FXl3f/nltmfHjM842E7YfewbwksoxAMAgPPgg9PTBjBmBtw7jxk8g2C9F8Z2ee2sa0JfOwpoX0WXb/+Q3W3/ogiZkjk3AbduikLdiIIXZ8Hrz8Qe81Taer143RakfpqKI0rKnV1FtJ4bzxG6G2zCRm3DCd1n2XiScbXRXYdOda4hJH/8VUHr9IU0U9RrNMxRWRX724gXu/pmCIwsCsKIGICcXjxbUgJ5MkMWIvF+pP4O04SNtCkQy1kwW2mVzujCGuKIChppCkhPFNWKQopffRYJfHHwK71PM6sTfmkVIyF2nQdnbjdS5TvwYQBIHZj2+k5p0jtB0+T+ri8bJR/W0wZbBMYVxQfD66mhroaW0mY3opsWXRKy3Gi64LEr7OySV26aoGkzVYNH2I6xagu9vDxXPtSD4VtzdIzrQEvrw0D3GUksyfHK29buXRM3NkPlG+blLbvr17z6jrU/OyqDh8JqLBEgmCJJJcWkpy6VCRtcQ5c7CdOIIt972vJnjlFSguhv/8T3jySdhZIaK5fWCLnjMlyUK/sQKAoHF21xFWP3TLiLaiwYQa8DHeNMfTZ58j6AngPXMW+7TF2CxmAlIMsVmDBoBJjOuZq2ZRt/UEeouTzIw4Gqo8GI0mLLbISbDeXg8X9x1h2sYP8r3vwZe+6KforBGDMXSfXrwI3/sePPXUwDb+gBfjMP4iXVXfc8K2SL+kWxY/RlB9hM7eLpLtiUiSxNqgys+eextd9zI9e3zPoYn+SqMZYTXtHVx0uKjurOK0sw5VVREDOh5zCydPP0lhwQI0zYemB3C7L3Oo7g3QNUBF04NDlNqBgc/h50h76xF6zz9FTPGDiOPglBr7RMYXls7ftIizT28nZdGM9zWd/5TBMoUxoWsae559mrTCIiyxsQQDE4/NRuxXVSftJdE0HXGSD1Sf10v70cu4qwcGt8On2rGUmNFkQACpOYAo5k+q/2uB3kDv2I2iwFalU+utAUHAkhFDQnE8hkFU+5bYGLoam+hqbicxYxwP/Cjl4QAps+ZQv20LeRsjBe7AqQ543AYPlpEGzsG4eBG+/++zWf9m5PVXrsCCcHHZ4sWw82UR3TO6C97n8A75HPCrrH8sMr25ZDCiKeNz6R85+RQp8QW0Kp28nTmN/1h7L9/b8yw2g47QdgWxPRReUP2xTCTMp2s6Sq9C5oo55N1kYMefLpJVHM/Rt2ow2wZMqbhkC8WL03F1Odj+9Evc8LGHuOseOHsW7PaxEz/9ig9TmFZA1zQuLV+EYc1MxG6I33g7CffdN+r216sqrQ+yJJEWP3CfGmSJLz46Ni391SDaOX366Hl04AZPKmJ8Em07q0iebqTu1J+wr+ig2XEOc2IBCbmrWFz4EVTBhCBI4T8ZAbHfIOhXau/flY4haTFddc+iHv8hohzd+H7DkcjOo7UR1uhD3ildlxBf+SVaUOXKicOIooTJYGZGVjnmYUnBBleAIy8aEEyhe0syQu7Ma0O4eK0wZbBMYUwIosj6D38Sd083TZcuXJX7eDB0TRu3GN/IbfWQdP0kEJQUEpfmkVOW378sfxjf12tvbp9U39cKNsPESc76YC0WyVuej6ZquOp6ad3bhKpo/UyYuq5j9Fipu/ICLQ02RNGILT6V5Iw5mK2JI/obzTGQunARZ3/3m6jr46Tr4xYvKoITJ+Cee+Do0ZAXSPOObkibY4cOABaDEWdDC3G5GTgqG2naeoYZn9yEIAj0dPho9r5FbEfogS1Zk8gtuCGkFxOGqvh5a9+3mZm7jvz8NeTnQ/3ZPfxg70vk2tN5OJyHoeuhEOTL+98e17lVPXcJOdGMLoBkNeBvcaF6g8g1h+k0pmOymFl0y9r+9tuePo8twcz5fft4aveH+IcnRLq6YNUqOHYsdK3uvXdQ+GwYfMqAh0UQReJ+/WW0ZIn4mPlYbVfHZzIhtB5h547KIYsue/x40kJ6PMLgxKXwkvGiZRzqyqPB7fez+dxFHkq0oilBiis7aD3UgGTNIL20kLTa1Zgy1tKuOKmr+jBNFU+TZFzKjDt/NaH9eAMuek1mcmd9cdR2FsM+Ah6NjYVJiAgkWYxkDqtq6ulu4k/+WJas+CQAy+79DAC9vT38est/86F1nyU5ITpDds3JY1HX/a0wZbBMYdzoaqzHFGMjLnV8SZRjQVfVIQPAROD1aBOirx+yX01DNIxuKLkEnZ8cremj6whtN2i9omrEmgy8Ud3ObQVXHx67HhAlkdiCOGILhsb5dV0nvsiDbsnHnjaDYNCLs6OB2otbUIMhj8gQTRLt8qj7sWZl4bh0kbiS0hHrenw13HBrK/jTKCmBnTvhhhsGBs7BnpbheSmjeabvugueew42bIDSUhBkEW0UD0vjrlPETxt632bapxFod1Fz+hDWrEQybyqn6uX9oGsEjAlU9mTylydn84MnuvB317D36M8QEUPhAiF0HedOu5mcnBX9fd47a9WIfU/UxS4lmcndODKJdZoyncoX9lHb2kbzlQYyikJJn/NuzGbP069xujKfbGsdUp7E2w1pqAokJxupq4PlywfCZ/v2De3XH/BhGjTbTp/9IF5vHVZr/qjH2eXqwuWbvEbQcKzOMJG67sYhyxKOv8ac+aMfx3jwk4jeiNHR2dvL1kuXCagaRkniphklxMeEaBQcJT1s/tUfkY0NXHj3JGJPHbE12/FqdcxZ+CSqp5f4ooGy4++efp0ZsaHJwGCza7i0pigYEcgjshrVAIydftbPTqHa4UXX4XcnG1hvuEJOrNZv2Dm6G5hrH2mo2e3xfOHOb/HagWfITsxjcdnY5dHvF0wZLFMYN3JmlnNmx2bcPTkhPRlBQBBC1M5970Oy8uF1g95HQigkNDkPi8k4eVE0NahitIyenRBjN/Lwwvyo60+2Odlc1UHWKMR4V4OriyOPniyhaX56Oo+Tu+gRBEFAksykZCWQkhVZWbap44lR+yu4cRMX/vhURIPFcWwVSvwh1jz+FLXPPkVsbCxbtw4dOB0OePxxuO22UF7KY4/BRz4C9jDfVaTwkSzDCy8MfD693cMnvpHMn6M4MRJnFnD+md1kLh8YCmTRiLdLxGDNJG1+KA/HHG/HGGejrbWJppM+LAYbWbE2iM2lMG/1qNfhWkGI8vVJBgNZNyxG219DUjh3Q9M03vjxj5iWYOF3795LV48BWQKvX+D8WR9J6SJ+n05RsY/WNoX8QoHNm81U1/WgaSpBVeNSQwU9Bi9q3SUAdDVIrO4DwvllwlDPhg40d7WwrWInyfHJZLvyaWu8HFLk1sMMtnqY0VbXIMxsq+saot+PxS+ApobaaVooz0LXCbq6R5xzUPGOWDYZVHa5oxotWXYT95SEPA0NzR3sOXERtyayX3ZyZ/kszBFConEp8dz39c/1fz6952ly0wqJLx5psALMiE3krvwVEdcNxv6mo0xPilZQHcK7J3djE3zMSLIxIynkib11Wgqnnnseu2UhufM2IhtDBui+wz+L2IcsyXxg5WO8uecZ9lzayqqSodxDge5u3KdOwdzICtt/K0wZLFOYEC7FdfLGiZ+QbkqlylWLogVYmrAwZNXrIe5sfdBf37I+6OECVYCergrW9riw1e0dtIdhSWmOHgz1b+BJ+zDm3m3o1lT09FKSzh2h2ueIoFMy3G08eFkInuorxN47dCY3UcxNjWVuanQ1aoCai7t5qb0xegNBiMoQ53Q08kb7HwauqyBgPHeF2NyMMXMG7E0pdLcMTbyVPHUYs9Lx6M00adtJiZ9F19mfDDTQ4aCnAVtCwQhjqb7rIGnvhozDYFAj2JrA9JgMfH4dsynUtr4xiOv1gwD4gzoXtSBxVokDZy18/gMbWLQgn6X//RrJ5nW8ceYNfvK726g8n8LzLwqULOnGisoP/6xzamcybx9xgEUgqHq5eBG++lWIG6MYRLCaUbt6CfbIyPEjw1CSLGC0DjVSc24vpPq1SsT4gcegbI/l/vuhoyON9JR2zDGj73ciOBb04z/eEDpeopuVJpNG09GGEctramT++Hsb62738NL6Jn75XzV0NJ+lLamRbSdKcDkE/D6w2bwgGGlul/DrHuITvPzupTqmFQls25aC26PT2taJFGZ/zUgoIjZGRQ0naB4+dJwNC0oQRGHY7an333lxplgen/0oXtmDq34bmjoLEMNeTxFJlENMwoIYtnckRFFAufBbzNM/Fp7wSGGOexFBkogvH1nZ5hEmx7A7HD++MXr1y5e2nKfW4aWjrZW5ssL9Ny4fUu0zHui6HtVYASKyQUeC29dCSubCUdsEgkE+tGZkovjMe79Oxcm9NNReIX96yDBvc7ZzbP/LmP0aAVEntXAmqZlFGKTQb2FO3iKqPEMNOdXr5Y0vfoay+aMbTn8LTBksU5gQ7p3/EC3uFjq9nWwyJ3K87Ti3FNwyKY9AVdVWzOZ4LGP8QNW2T2C5dBSt+2bk+TcjZ2ej+n9K8gOTS7xr3rENWR79eE22WN44cJBbliyeHAkasDzpRu5aHf0hNlFcaP4DM+56bFLbuv7835jXPYIZSOTRiG3sB/6HhbkPYbUMpfL+tU/ihvIQ07DX7+OdXXs55uklvdmPtWAO3c3dTNuwgqySfI6/fZgZNy3Bc6GDm5bncPz0mXCuSTl3FpazfTv866c+iNkcwCwZ6OmFKwdTiLFBV2coLHRuVzIlMzTOXUpk+XJQVVi/PuSFGexl6Qshdbar5MWL6LFxOA9cJPHmkeyjl946iWw1cem5nXRUtrPsn+8JJXyLAukLBkJFfdVHL7xg4Ov/7KahZVKXOyIyUqw8OCN70tvH2+CdFPAk7iMz9yHKV65j62s7eeLZz9BQXUKyScGMAbdHwyIrlM6uwmx28shnX+P3T/wD//6vKZSWQmoKLF04MlepD51nmymfvjjq+uE47zxPeu5YQYwQnPUJWDNGkpRFQ+wk89RGg6ZpvNHh4JLLB8DqklTuyE5k34kucrMLJ2ysjAfyOJ4hmn51oqyCIOCuPU7pXV/oXza3RifpprkELDImTaTx4jFaju9HUQPomkp7ZyMphas5dGnHwHFoGmm3Po7DNPqE7G+BKYNlChNGekw66THpaLqG3Wif9I9M1YKIwti3oJSaiZQaSTloctCDKqI0+n43zZtDW08PL+3aRWJCIuvnzrlm+/+bQB57pqqijTBWhsNiMnP3jTfQ7uhk28799Pp7cdS9jnd3C6/OTiHNPI/232/DUB5iPl26poM//Xco16S4GJxOnYoKC2BFFMFgALc79NcHRYFLFyQURUcxhNocPaqzbJaH2s0d/Y6pt/ZYSZMN/PAbTt6qzGbX1iDtLj99Q7Gu66Bp6MEgRetncOaFo1hijZTevQRVCaIpOknzE2nYXkvywjQ0UeDMKSPFxTo9nR6Kihq5Up9Ju7snpH0niIDQ72fQ0fEGVPxBNRzy6AuH9Mn6DQj86bpOW2cd52vOENRUgpqKqqmomjbwXtdHcNJl2pL52j/OpLsbamvB44FbLZ+iyXmSri6ZHRcepDD2EgkpQdzKdOIMnVhyjNS0ekiZcRrHmRncnHgT7Uv28NHP30hW+qBk7mEltbquE1A1lOD1ZGieaG33talA8gY1nmvppCMQyunYmBzLHalD73XBaJp0QcFYz8Du4NgGy7H2c5Qmjs4OPhouH9tOfGbRkDB7omYhNqeg/3Np6lDCwYZtWzm28yi3/9s/jZiY1Z2b0hKawv8hiONQqR0Nmj624RAdV6HTM06OidT4eO5dt46dJ05yvq6estzxzwyB9xm39egHc+LMMxRmRNdFGY6UuCRKS4rYc+Zt2hY4mDGtiuW+CjpNCnEXititBvjpK1fovTiHPe+EPCF7Drpwe0yIooSmCWiaTrQKeSVMROxy6QgCBP0apgQzeTcOJKM6jsP6+yDnhniWpsCBAwbk+rfwvnK0/3wFUQRRRNNFCsrSEGU/dJzE2QE6IroOLcELNAQ/iqTrGDN1th8RcM46gKsjB4+/nYaOw4RaA2jhEB20dLk4WC2wsHR5SMU3HKwTBDGkrySEZfAEEQGRjJZYkmYkIIoysiQhizKSFPqTJUOo3bBB41v/c47iYpg/H373O0hNhcXzTVQ2pfDCqX+krfIzLFxkoNGl8u4LMl6/FZwaPn8cjU3puIO9tL97kNUNDaQl3zWk7+N/+Q5y2gx+3fEKHt3P55LvxSRJFLYdAsavp/R+RbMvwF9buwloOgYB7klLINsSvcxbN5o49ebLNNgmXqHn87Vxes/TANgak7EVDQ1L5vhjOdQzMsw3BM6zZK9/MOrqntrTeHrqOX85BrNzKBOvP6AS64XS3kP4O9sx3vwYBPw0+5JoGcZ6rWka3Z0VJMSbcda3Ical8dq/f49c2UJ8fkl/Ozk9A6bKmqfwfwFuxc2BpgOUJJSM3TgKNFVBFCeuQAqM215R1dAAM9jNq+s6TCDMs3JOOX/ZsoWKmhpEUWBO8XTyxlMp9X5UD4uCM/W7eWjjDye0zdzSGcwtDZX7PHfyPyk6s4WM/aeQ79+EecsOurtTOewp5pVXQqW1ly966HX2JYWM/+IIgoBskjhweOjy4aXNIGCYvR7LxsiD7fB0lPq2WhxeFwG1kaUpBnREjDNf5vmXbqDyH9Yzd6aZRBvMy8vv38bldbPnwlF8ikJ6XD7fvHvZuD2MhuYq0pImFhJqrLewaaXOufNeihcHabwokZXfQ6o9mwT7XAoDO7lwbAWlDz3Jjt3/D2cjzJpbjyUYw03LGkgLZFDydx+nfftLnN/7cn+/OpAw8wYKZi3lC93lVDoqmZe/CYDq3pHJr6Ph/XSbX+j18laHA03XSTDIfCQrGds4QzxBSaL8xlvJSY9e6jse1L51mNSFQ0Nqkfmah+LMgUNUV0f3arhbq5m19L/5SlRn73RgI2p3N8ret9EVP4o1ndisaeStHPCsdDV3cf7piyz/7GO0NTfRvnM7N97+OXobGmk5c5a4zAzyV6zAtWdvtB39zTBlsExhQmh0NVLZU4mma6zOXo1RmnxSnKYHkaRJGiyj4MrLe1EDIbe26vPjaPeSmBPfv777civxc+aPuz9ZFHn4phAxWiAY5OCFixw5fwEBWFFeTnpilHyA95WHZfRhZUbaXLo6K0hLn1zo68G5/8I5n438dXfwwN1+HN6PUVoSJMPk49/+LRQK0l0WJElDVcVwWCdS6unwQs/Q50jcdYNLm9PS4PBh4JGR7SLh2MUDKOdfxRKXQYI1kdMv/D2G4o2knvs1+/66Bnv8SJbRf3zmGVocXn714QewmifBkxM+VafHT3NDNR2tjQRUHVVRMIkKsuImYArNaJ1VAq/mxdIRl8wLz54mV9zJ8XNLybR0c/6ZbsQr6aw8V8GyIonHj97Gle9/g9zsVtJlP/9Z9Dtyk3pIsK8l9cuh5HJjbhHmtZGHzekJ05meMH1gwbD7ti95Xick8qdpWqgiSNPQdBVV9Yz7EngOViFeHkj2dgW92CRLf1hKqa/GunQ1gsmCYLYiOUcPS+i6zq62Gna0VqKbCpkdG8cX8lLHlTMyHH6fD1PyNfAoTOJ372lpICvzIRLzoucONXa8Qm/DFQRJRJAMGGLsGGPiR7STEhKQ1oRC6LOBy+/WULOrgfw1Ye0jr4u41FCV2dHdO7ntoUfx+vxsa/YhiPEsuUbEoNcDUwbLFMZEUAvy5wt/pjCuEJvRxursa1PeqWlqVA+L4mnF87ulBJKKCGavI23p3yMarAMNojwUVI8XR6ODBZ+9Nep+j79tRDVMXPodwCjLrJ4dEglTVZUdJ0+x99QpYmNiWDt/PsZBMXBd/RupNUfE6E9RizmBisYDkzZY+vD6wXzKNoY4P3753Sb++FSAaTNg724fPp+MgAbhUMzISi6doRkcg9ZGOPzBpc19pc9Riq5GYH7JUqps8UzLnoGmBrnkqSRTvUTsxzcjRKFE//6DD/LMnlcmZ6wA53tEvG+/gsFgpqwwh4JFK9DUAOaYWDj9F7j4Dqz7GqQUcyimgTu7vMQVneBbu9ZzrvERHL5YLjWrxM1VMRRbsa6ZT/2zl3jppxJKk4OW6Qm4ew24XR+n7dxpsj40qBJOAN/ObUOO58iRQ+TMSh1xyR09bg6+9PzQgxdC/wSEQTQGQijcZhw/F4uWX4btlr8D4N2ad7nUdYmZSTMpTyknxZqC5nSgdrag+zxoXhfuppFDlKKpvFx/niZfiA16YUIq5bE2FqQkkB8zeg7WaAiqKibD1U+gAsEgHY1txKUmYDAY0HUdr9dLMBgM/QUUFJ9CoNdLV10b0+aV0l13kPwlHxi139TS9XhdDWiqihYIUnn+FVLKP0pGonXU7XKXZbLjxyfIWpSGwWogvTAXxafwl1/8GSHGzNNPvkWdaORLD69i/5bDiMlX52G6npgyWKYQFcEuH8F2DwgCJR05GBwCGm6OXdlLn9rGcCG+wYg8Vx6Ao8aLUL+FNktkNlRf3kd5q15Gd7Zzt+cpREtK/8NVb2yD5/8ypH2PA6xyHAU3jj7omuMlqi7+BWN16PZvdnu51JWEJMZiEI4yLy0Nk2QYIE4bsrWOqSMXWYgHYLoAuhiDs8XDW0/8ARUdn99L5s134L9cQ22MHRQdXH003CPLsHt9nXgFN6IYymHo568RBURJ6n/f3lBL4ratxPirkQ1GBElCF6QQW7AQytUQRJkuSaDTaA71J4iIokSgpwr7+ZcQJQOCKCNIJoTwe10U2dO0H4NsIbHjHJIoIQkSIiKiKOJ1d+Bw1CGKMmKYZlwUJURRRhCl0DJRAl3lSoXKgvkix50elHIHjoBMfO27oC4GTUTTonnkht9Dev+rJA0trw3N+CGg6Dz8kEBPj05JiY6qhCqKxgNBEJiWHQpnKd4GMmUXyMk4T/0cPehDNFhQVQ3F7yOQMQ/BnADIxEg+/rr7ZbKSF6DpeuhP09F0Bj7roWMcvu6SO4a/u3t4uCpsHJXfD7MHKPCXLM7mmz87QEJiLg985TyVZpFmg5lHO58gy5oIzQU0/G4GUno8seum0f16FTPmpiMaJTRNQ725BINxIBQSybuS6pbJv/nqScPOH55IcubAF1nVU8X8tPk4/A4aXY2kWFMQY+MQYwdq2IMtIR6WnoCXv9adxa0qiOjcmjmd++0DvEFPVtSRarq6GnRnTzcG09UbLOfbqlnUkUnllSbUsHfKYrIgyzKyKCEbZCwmI/FJKaRmptHd3ElLoIOCMXICDfZYDPaB8uw3fT3ENDVhqDVjkkU2zEyPWNFoijWSWZyAq9VDQphEMqdsGjll09B1nQNn20g5tYWjL/+BQMIa2i92kdh2BPHaVJRfU0wZLFOICM0XxLm1FtO0eEzT4lhavP6a76NWTCVtZg5me/QZQmQqM2DNSH2Tg1vOMGtj1C36IVtUCqY/iCUm9ONN3/IFsnq2UCcsYLui4wh4+NL9X4q4rRpUaL+wnfTZi8NVKIQqUVSdmcHl6IqKqqgIOmg33wUauA80E/+BogGhs/5nduhN3eajFK1fjqZqYXe7GnpV1ZDbPex+T8nOQ1ACOM8cIW3pR0FTQA2G9q9rITIuVaX69K/ILf94qJ/wcvMtH0G0mtA1BU0NomkBdFUB1U8wEKAofwOSyUaTqwmN0D41XUNFJb/lAm22fei6Cn2EYJoKuoquq+iainLlAq6GTmLdu9jxQgJ1r/wPp7sfQFdn0dBdTNp95/G8k0tNY8g4FQUNTRcYj/88My1AbqZCrF3j6Fsd/Ubktn0xxBlNfP2rDl5+O4bGajOeSRCvmmz5mNb898ACTQVBpGH3H7HFmNHFDHQpFl1XWDJtNh6/ii4ZEQUBURRCr0JIxTtkJIIoCEhhT4QkhpJxFWdHP02/ruuoOvhVjYCq4dc0PIqGJxDEo6h4FJWFNxVy8dx+FmXFsBidjkA3itSKFMynO/EombdaMZl7aT7VgGL24Hj5GIkpA9wZkSjXdva4scSHvIuO5m4uvbmdgNfLpltuwGadnNdxQhhkeP7d3L8btWlXcw3nmio4cslGjCRzb04ZCabI3i2/s4c3T55DFKVByuUDuNxVgS03Wv5QqKUzRmHbzmcRB08q9HBvw27TxMQ0ls+LrJ+VlJ1I5px8xictCga7TE9F9DLzaMiz26nz1PHIrPXUt7v44+FaPrQ0VBF0qraLC61OrJUeimNMSAYRe+ZIg04QBJbPTqOzVSTQ2o274mc40taya9tZYksTWRNWGn+/YMpgmcII+Ksd6JpOwr3FKI0uRPN1uk10Jk3NHwm+3gA1p2sRxLAnQwiFEkLu64F23U0usosGPidu+CG2ngpM5/7Kghn3kZw8CqeErvU/vARBAAmQJIRBE7PhV8t/2YFkiH4NJVnGZB19dth55HUCp18nqARJueffkBJTo7aNay4gOy/6OTg7W2isPElsQhpZ05cDMFox5dn2aqbPfmjIMl3X2feDvydrxmzQJbIWfRj7g/Mw7jvI819NZ0fHd0kw1ZApNXFGK8X7Sjoz5rTjcGt094iYDQF8igltiPE2LAwEGIywdoORVauM7NkDC28Z8MZtPQ233gfzNsYhpkLdDyE2fpQTGS/C+laiAPEL778GHYbQbTXx02N1/Z8lAWRBwCAKGCQRs0HEapAxGySsRonpdhNpaQrzS1eCIHDm1B+p83homx2LTy3kEnVYjC5UVWHdxi/gqD9Le82bTFsV3RBI3VrF0vVhfaDw65Ejp2jt7MFmvTaSG6NilARlXdepO3uA5ooTAFiS0vjI459Elsf2eqQLGnfPLUeKUv33m5dOk9mijFjucfm495boJJK6rtPWeJnemit0dzSEqRgkgu11MG/MwxoBRfGBIGAYJIWw8+LbOMyJmJytFNqSkSLoq7V7e9jfeg4Q0dFwBTyUJ03jkTCHVU6KjVluP2+faEATBGam2nlwcT4/aTiPaA5NDKp31Q3p83LXFUoyTKHvxJiNkJ1NSveznHOd4OYvf4oKX/XET/A6Y8pgmcIQaN4gvsvd2JZlIogCxpzrI14X2pk+aT2gSNClZmRTUphtN5TPoKk6uhaeJfUlPfZcptqZQllMeVhCQMSUWErhqm+MYycw0aw64SrrKFy1Zwi6esj66K/HvUdNVVEc3Xg0P5d2vRo24AR0XcNgtZE9YxGV+94ma/rYT91IzLqCIOCOz6VJClUfNFW1oVS8Qdnc+ezam4EaDLL9s7+lZf4qTPJJvvujMnoabNhivDicMdjiXIh+HZfTjNGgEwwK/cZLamqAoiITMVozFU3p1NfD8eMjj2tkldD40NFQhbfhNIKughZE0FQEPcTPoQa8SMaQ3EKg7QqaGryK0vuhSLOZuGVWNsYJEJOdMpnBGPJAdrbW01z8ez5SksWOfa9hTGtBR+9Peo3LmYXP2UTLqbdJn3Nz5A41nWBARR4cLrKY8Xl9/Z/7KPW1cM6FHlRR1SBaMIgaDKKpA581VaXX0UBL3RE0TUXXguhaELO/FZPFCFoQXVNAU9BVBX/bUTyv/TrsFdRB1dCVILqmccZZReqqB1jygU9PmNtJ1/SoxgpAWdxMlq8emWj/7Gtv8vauQazQ4Tiwt9dJevtFsJtIyMgndloxWYvWYDHFoOs65/7707S8+8uI+zJFEVo/e/YPeH29BALdxMcVMWPG/YiiSDNlPDqtkNOdF/lp/SmK7Amsz5yLdZChtre9FkVTuTd/CaIY+X5ckJ8E+cOuyzQbt83JHbLM1ePkaKuPRl8zy81eOj0N3Lz226FrvmY1fTSeFY1TBssU3ucQLTL2tTkE2zz4LnZhzI/FkDJ6UtdkoYf5LCKhvf0SVVVvY7WOPwFMtJ4hu2Rs9tsLvnl0qyIvV+9FCnt4xtJ/7VuvqhrZWioTSUvz+z3UvH0YQRJJX1CCIT4mxLIaaT+BkCO//nefxpi/EAQRXQ2QuOyBCewRjr75ezCbUL0eFt7+EQzGkYmkNcd3jbu/vlDGYNjtRlItrlA+ifMEanoerV17aO0SOLVjB/HTRLItbVwRy9j8hp9Hf/0W+pk5mC6m0tmSgBj0IQlGbKYAy+a0kDijkAs7qmgnh7lz4cguE2tWqzz9x8iPqeECiOOF78oushfdgSAZQDKAKIf+rkq/aWyYZBmPokzIYBmcH2bTOpim/IEtp71YTF3kBmcQZ0hAl810Xfg1uqYgaRptXWdo2vw78vK/QFLxUJe+lB6Dr82DLXtgIiIKcVTsuIDnUjMATZeP4+5qIyEznZTctFAelSghyRKiJCNKEqIoht7LMulZ60PUAZIR0WBBEGW857ZiX/1BEGUE2YggGkE0YS26Dykoh2gFwnpkGAwIgkDcwZ9QNOv6hCCiTRkeuiNycn5LexvNLwqU3LwYa3ry0JUBH9PKyrHc9KmI2wbe/AE9VSfCekpavzxJsKWS6XlzMRim0d1dyd6Xb2NG6VcRVDtnumuZnlDCvNQ5eANOtjYcwqdqzIjPZFZSEXfnzqHF3crzVfuxyBLosChlOlm26J5WYMQ9ffj5N3HWN1LT4aYnKxvX8dPkLV7Gfz7xUb726d+N3tf7AFMGyxRGwH+lB4SQ8SLZrl/mla7pEcUPO70+nql2cqm+iF/cG9kAuXjs2RHllLHm8cWB3RqsSJ5GnGXihpgvEGT/5fYJbdPta6X4A2vx9fTSfqYS1R3o4x5DJ5QvBNC6/Wk0xQuiTMo9/4YlJXfUfqMh8WIz/pQS5m18dMIz1dbKM1w5sRNJB9FgRAsGcbcfoHjhJ4e4sQEWbNyIs/YVBMGIteR2rOnL+tfNnh0iwNpx4Cnaz19md2U+H5iXjUfyUpch8omZT7K99wMcOCbw5A86kIxWjBkQ6EnmgTtaObdLY1bMFYJa9AFsuAAiQN2Wsc9RNNnRRBnJ/N5Sj5sMBjyKQrwlchVSZAx8fwtv/hGuM7/FVbmDhLU/QjTYEUUjSAYE0Rj+k0kWJQLNFfQeOkrAF4OxfMCLJskCwWFMtvY4K5mLS1k0LyO8JKTpU3H4DG3VTSy8bQ3mmOjH3FRbQ/WVK6hqsL9MK9FjJScaR1OEVBld1yN68q4Wuq5z+vQfcDk9XDjeNGpbRfFQNv9OZIOJ9JRUUj+xidNPbmbOJ24a8jvSfW4EOXq+T5q/Eo++OpzwbghrKgkUFt+F0aiAIJJsTSU+dRWXqut4pSvAmabDnDencndOPB8rXsvt+aH7/kT7JV6s2oMoCMSZbDw4bVX/sbxZe4AKRx3rsqJLm5y80sAznZ0UpiewdEYeRosJT0sbCbHx7G61MU8vI3jaTGr2Gp4//By3z7kNa5Q8ofcDpgyWKYyAqTCOQF0viDqBOicAaq+CKT8WOfnaqRPreuSQ0BNnz5Nq0wj2uvjZs7+mKNXKpg1D9W9U1cPMxR+d1H5toog0yYfjKE6hqDCFDSNzvJ3sVXMjtlEc7QTbL5P1wH9M6rgGIz4+jYxbHx+zXWx6Dodf/lU4Li+CIKAGFVbc97kh7bxvCMhKEIY9pD3th0ic/jhSTHR/U5xJ5F8+em//Z/cmN3fc0cVHjjzCzGIFNejB3X0BT/V5JMGMYDDy838GdOg6domCz5YDyVH7H4FxfDmCZEBTVa69YszoMMsy9R29BHwiAVVFCWooioaiaihBPfRZ1UICk6qGroOlrRf6IhmyCdu8T2OT0+DSLlj+maj7MmaWkHR3Cb1//AtiXBJSTjaCKCIZJFRlaCmV2STj948srypePJuCOSUcf3sfmhpk9obF2OJHqlBePHWCVTfdjGQwIIbzL5p2T8yo9yue68LJpGkBXK4K1t/2VQyG0Qfi9pO/on3n80jigPcpOaUXz8s/Rhz8nNJUDAuihNwAU3I+pmmj66P1wXGxkccXlyMFikjphI8V5w1ZPy+lhHkpIcOvobeR/3dsMyuEDmKNEvGayFZ/Dia1keW5WSP6ru1xsCzfzsPzZ7HnTBWf/uXb/OJTNzP3jhv41TsVbDrQzJWs6Vx0OLgvaQbnt2/mJ1X/xuz5q4m1xpMflz+uc3gvMWWwTGEERLOMuXgon0Htny8g9vhBHDQm9M06wsUeQniZIIY+iKKAwdWBpHjCzYSBjUUBb3UbVZlNTJ++EQC3u4O2tjNYuvbQpVi4Sd7B4vjZGBUfDBPsU/yTl51XFY1dl7uIMRuRJQFZEELKtaKAQQpVdRhEAVnqWxZ6lSWRoBJE9Sj4nf6Bcxl2HSCU5KsLIIkiOgKKPxBi2xX6roMwZNbmOrsF8fzLBHo+hzEu9arCE5prfEReM5ZF56oZAtGArgVH2AIKAYLOmlENFoNhqIfu9Onnee21O4iJGWyEZMHckVpRvvxjqMIEuWzGkS4kSDJacGQC5vVGckDgcrMDso3IkohRFjGbJGJlAwY59NkkS+FXEUkSadsWwQs4+x5oOAJbvwXrvzkqa7N58Uz8Bw9itq5GSknHoGioMUMf+2azjKJEvs4Gk5Eld60jqKic3HwAURKZv2n5kDapGVlse/1VrDExKAGForJZTNT08AdcyMbJlyUHg8GIyyXJRHz8HLq6GkhLGz1uaDDJJKy8GdmSMunjGAve3m5MFjviIL6mO9JD+yuwufjO8RpyY0w8Mj1tRIlytj2L+QkKOUlLyQ0bjrO8Pp4+V0GVIzSxFBBwB4OYJIkun5/4ixfYUtfFhW4/37w/5LV5/rkLZCWaiClLoae1jYJUGbWtnump2cyYfy+ZxROIr77HmDJYpjAupNxeSFu1E3RQAir2JAvJWTH97Jf9L1ofG2boteaNSxTftTScCBtuGM6utAuH8OulnD79bGgARyArazkfXZLPxe7jHOo+wj03fz/i8bh7FA69ujP8SR82mPaJuWkYzBZyZ00jNtmOwWhCEEUyXBop02IQjEZUXQ/NajUdVdNQVB2vooVF6fT+v1A7HY9HwXe+i9OqgDCY5yy0w1DlU/jj5qZuNhSnEEhM5tCZc4CARiiePTgRVwd0qQhf2aPEvPAfrEg0k508EJuuv3yKqrz7QB7bu6XrUKHHc8vuJwYt7P835PqMB3U99XguS5QEfoPBMnRA0dFp9T+NK+00CBH8FYKAt+kUl7sH1sUFTVS+/BXiY3JC8X3RgGiJQTBbBh1jmPXUG6Du1EwMkpGODg1TQd7IfQzfZTeMFUgTRAlNfe8NlqbKNlaunEFc/Phd7sPv7H5kLwJbGmz+Gtz0n1ENXEPJTHS/H8+WvdgfvhdJEFDDl1nRQr0LBghE8LAMhmyQWHjrStpqm9nz/DvEJMVgjjehaipKQCEmrL9jslhIy8qiq3ncpwiAy+tgS80ZNvvfGnTyQ63P4XxPwiDeko5RGHGLi+/g3PkXxjRYPKKBUyd+gySHzkUITzxMooHUpFLS0+ZgsMSP84xA8/VSW1+Ls7OV/JK51Jw7iKe1ErprsBYuxe/3YUwcOKayRBtliTbOd7j4lyNV/OOcXJLMQw1+gyShDCKkjLOY+fzC8qjHcKi6B6FKZ2mrzO/OPkMwJoVWPYZN6UYWWH2curSP4g/dij2piLTCoqtSi34vMGWwTGFcsMaayJ8zMPNwtHupvdBFSq6d2KToA6lokJBskddLNjPTclYiWkauXxpfwNKCe6L2m5A1nbL5a8c8bm+vi9qzVdSevoIaDKBpGm3VncxcuQCzbeK8E45eP0d9OouWji2EuO+ozuK542NjuHRuG+qcFZSVDmURrrt0nEDiatbMWhJly5HoPugle+md424fDSdO/oHpZQ9Tn9BB/Ow52BMmziLa/vr3SFk9lDNH7b6JwMmdIbK5oI/A6QPEfvEnUXoI4/ndlNxSMOb+6rZUjtlGkGQ0NfKM/HrCaJEmZKwAoaTroIIQqbQ3PhcWfyLkabnhW1GNFmP5fII1TTQePslFEqitdNPV3kWCUcanaFgMInnG8dELpOZlkJqXweGdp9i//xR33b8Rg8lM3CTujcEwqBZumnYXBbOWj904Ap7ZcSrqOlE0II8j3NRolJg//xPYzQP0/KqmElD9NLec4K0Tv6eurYvVcbNDBrqmhowmITT9EMIGVs1lFwXaCyiSmYzMPAwJCVx87b/BlkbBkjtIzw6Vk/9ix2U+OCd/xHGUJdv4dkIhT55vxKuGxD/XZcYzJ8mGWZJ4t6aBW0WRvISR4bnhWPLAWk5vPsyszy/A9q1O4m8vxu7pBF1Hjs+g5KGvI5onklP1t8WUwTKFSSEuxUJcioWzuxqYtSa6oJu320XrwbOkLZ01Yp0gy+iKAhEMlmsFi91G6bKhM5Ajb1UzWaEfXb/2xSTVZ96i6/RrLH7oF0OWV108hbulitlr742yZWTI8tBB0e3uRFF6iY3NQBRNeL2dKIofuz0j6oyqvuEokmggJWUWDZd2o04yhKIa40cskxKSsawbOCff+XMRtw043TQfvIAW1PH2jC/M5e120n78OKCH9G76PHsatPrcmGw6WtNZTrepCPF9fQpDcxQQBkX5QqnR/d7BMIst6MiqF5MQ2oeqqiF2Wy00+9WHeQcAGhpaWc7I0trRIFpiUNwujHFRDILEghBD7q7vw9p/jtikouky1bkWtI5Wbl9fHpEN9fWD9VGPYec7BzCEpSz6rlJsQgwf+cyjnNl6FASdvOkFxBcMeAXVxjYCO18Jf9Lx0QixoXvI6+nC123GZEyi0xskGJ+B4u4hY8bSUa/FaNC06B4ij8eDyTT25CSg+jAO82JKooRFtJKftYw/X6nha3d8IXT9NK2P5GlEP7u0cu5YO5TZKLtk5Pd+oKoTp09FFuHRpXmh8LQoYjXKGGWRT8/OCR+XxvaGbn7S1ICug5cYXrlSz8OlAS63XWZm5ky6Xd14FA+n608TZ4rDp/qYlzOP/du+RS75/PV3hzie0U3MmaM8fOPDFGVH98q8nzEhg+WJJ57giSeeoKamBoCZM2fyzW9+k5tvDiUgtba28pWvfIXNmzfT09PD6tWr+elPf8r06dNH6RVefPFFvvGNb1BZWcm0adP4zne+w9133z25M5rCe4amy92kFYxu5c/91C1cfG43aRGeRaLdRtOh3yEMUbYLPQBUtx9DZlFUYjlfbTd1nbUDC3RwuzrolZwRWg8VCeg4XcOVjtxBNNxDwyVHzx8kccMybCd6ifFqdKfW4g00IEh+fB4f8eUfYuzAw/hhy55HnDWNo4eeZ8myAYK2pouHWHnXJ6JuF/T5ubD3OK6OLnRdJ+jzIRmMKC3nOW1s6z8vg9GOQY6ltu4AAjoGQxwGg4mamp0AaFoQszkVg8GCx9NEUPWTnFRGeXnoWASBEPX/NYau63S//luMJeXowSCCLHP8rafpqa5g8WNfpvNgNbbMJKzpieSsHZ83LP+G1ag+fziXKlw2K4YMkIO7m1g/Nxu9aA7JugmEcNRhEAOx3m+chN9rhKQSBlgI+3V03jxwlvtXzUQURSRJCrHahl8jGQUHtZNcPleLwSBjDEoYNBk9GGJJ1tQQJ4mm6iENqvCyQIuEuXM3Wswwz8ww3Qu1O5nONx4iJm/p0BUIHO/SseYt54650YX1RoPRYGL5hqEDbtulRk69e4iUnHSyZuVTffYKdZtryCktICE3hYbkBAJSE0k5y+htq8CnmTHGFKNrKk3t21i48Z8wmu1sf3EzD6+NTtw2XpxV4E9nLgDhVLIwm3Dfq9WayPmafaP2sceRxFJh5H2m6zrf3f0sK3JnDXyvoxFejmNGE1BUFuUn8vkNxVxsdrLtYhvBcGjaEwiyufIAMzNSaOt18ZsH7mNTXhKb8pLYWXmJsy2NVLUcYLdQSnlmOVvPbiU1NhWrwcrq4tUYjUZsBht7Lu/Bk6zwa38+T93/KA9IMq/Un+U/647xAdHGLRkFQ1l9/xdgQgZLdnY23/ve9ygqCtGEPv3009x5552cOHGCsrIy7rrrLgwGA6+++iqxsbH84Ac/4IYbbuD8+fPExEROqDpw4AAPPPAA3/72t7n77rt5+eWXuf/++9m7dy9LlozfDT6F9x4ZRfFcOdZGfLp1iG7JcET7TaTPuA9mjFzuOX6Z3uPnSL3pVgQp8sYZESYIl96sYfGt60Y9Zl3Xuaz8hfwbF2GMjVzW6t/cyJXKA3hMRgx5W8gQssg02bBbivAFvHSJXaPuY6JIScjAYkvkjZO/Iniks/84Pccq2e99PdyqrwiafrpwQTYwbdk8Zq5fOsRDUPG8j+LyiTG0ulwtKIqX/PyVIwm4roFXSde0EcbnqVNP4YvTEZQAnf/6UW745hP0nDuJlp7Czie/RX7W3STPyseSPLbruw+mxOgVRbK1l9j4CVQcjQFRAJtt/CGeBctn0tLQgaqqNFyspHT+LAQ5pB8lGgQEWUSUBESDGHovCojS2Hk7EJKMMF7IJmn2phHrpKr9XOrtxBlwEWuMfLzWd9+i6kqUMGdTK5c6Lg8pO3Z395ImJ2B29NB99iIGp5/4gnlUbb+My/QK9pJU8mZuJODsJGCqxOnopDBxLaIgkjVtLYYwOV9KUhyvvbkdt8fHjWsXk5Qyue8nMzmJR2ePdq0iPGiG4YJ7y4h7X9M0/mvvX3h0zibyEsan5DwemsiXTzZy6+xQGXlpRiylGQPPon1b/oSa28IXNn6QHdXn+P6Od4m1mECHrHg7n1q2mqfOVXHP7FDIfHpmZIfAxpkb+XdHA79YcU8/+eFdObO4I6uMLQ37ebfqDEuTMkmIXzSu83o/YEIGy+233z7k83e+8x2eeOIJDh48iMFg4ODBg5w9e5aZM0O04L/4xS9ITU3l2Wef5WMf+1jEPn/0ox+xceNGvvrVrwLw1a9+lV27dvGjH/2IZ599djLnNIX3CIIgkJYfS0+Lh5TckYy4PVUt+Nq7CbjGX9Gj6zpdfz1B6mfXRTVWrgZC/ww5epvyGx+iHGg9fx6vYwmWpFjSikP3tLPLQe/BE9f8uH5+/hUMpXcyN3sepXGhvJc9Ff+P5Q/dPsaW1wY2W/RKH12PJm85Ng7hxLDn23R62ihIKEbVVQRBwGJOpKHnCnev/Q4Amw8fYMs3P47a2Yl8/ARiZjpihufaht+u8WzSNMHYv8FoIKcwNEh5GtuJzR+/ITYWJNkQSmIeBE3TeKv+GC3eHj5duo4YQ/TQq3lhPoW3RtbGKRzH/tuefI3SG/PIJY8Lx7vY7XaSqvSSnpRFzd7TqPps5sTnIQ9TQ964NjQpPXmplra2jkkbLOMzE0aHzTD0GaZpGv+5+zken3cT2XHjM1YANEcLu3ZWR1UOFwSobdZ5YFHk622p3MnaBQv59+dvJqAHSTDY+PQ9L/cb/P6gH5HxeTxjbDYOtOxGByQhJFXrDXpYkLGSdNtKAoEOWlvfJDFxJQbDtbsfrxcmncOiqip//etfcbvdLFu2DL/fD4B50I9YkiSMRiN79+6NarAcOHCAL37xi0OW3XTTTfzoRz8adf9+v79/nwBOZ6RQwBSuJ7yuAB0NLgrnRi4DrN91luyl0ym8ecG4+xQEgbhbSgk0tmHMuj7lhSFH+diDV1pZ2YhluqYx3vyXnP3b2dc2iB9B13HW1hGbn9cfXsgvKyErN4evzHkAv6rwmf1P8LNlf8e2lvOUFJVTW3mSvGlzx3diYfj9vrEbTRCTrR7oMlr48Kp/GrHc5ahnbvFAKfON//Jz2hovc+nEdpKTspFMZi784Pckr1nANeNZjjaCvD+6uy5o8fWSarHR5feOarBcLYyW0FAScLrJTVtCzSsH+FHls+jJVj7gfpdqczL/9U+fJzPNzC23fKg/WVUIC0cKTe00eYLESEbcJgtOszUkDxC+xhohGS8tHLILa46G1+k4/FefRK2j82zNSURA9fvZduYkyzNWcbTKx3GhMRTyEwREESRRQNQUYh0XkUwx6GpILFTTdNKCzaxZ++Co+9r61Ft0uwPYzTLyMNbrmDkf4LXmU3z51t8SY01FkIdWCgX1IKoePWfH6Xbx/F+2kJYbT7LLzYbbP9DPj6OoKoZBXiSjMZnU1Fvo6t6H0ZCI3T7ymfd+woQNljNnzrBs2TJ8Ph82m42XX36ZsrIyFEUhLy+Pr371q/zqV78iJiaGH/zgB7S0tNDcHL3GraWlhbS0oaJbaWlptLS0jHoc3/3ud/m3f/u3iR7+FK4xas910lbjJKcskaxh3C2pM7Oo3XWOuZ+6JeK2V155kYCrT153YEAU2gJYZ5TT+fbh0AKDSN4NYxMx+XvHJ9Xrk+xcevUIskFmaCnt8NLfkSOS0+fmJekiBw+7hyzPfPlNYmIzQ6XOAIJAav50VkQQVgslgYYUmHe88Ao1Zy/0rytp1fj9W39PfY4AxYsxHT6EJ/F0hLOILiZQ19jA6TMXo5z9xNHR5sLReBjLsOToSFds+NF527rZGvjVyOMUwKd4uWJ3Yx0cpskVgEYAuh6ci3nnGRLtNRGPa7QZ7IhKbqCj1sWrSl/eUyi/IS4hgTXLJ6FiNwHUHb2MyzX0fonGG3ItIYoiHytZj6ap7Gs+zq7mU9xTsAyLfG2rQtSgQlvnZQqBkz97Ha9f4M4YA+WbbuX8C4dw649QIu0h/0Qj07/1XaRed5gOQUfTdVR0Ug1gTIjH1+3k5LmDJG+8CZGQ6nU4DQlBCHEmiYLY7yzrayMmX/05fXLaIjr9blR0fnOuha+svhdJMKGFaQ00TUfTQdN1gqqOqsmolVUkTptLWk4poighShLzF45ekdRSc5H1ZRk8d6QeTdfwBzVUVeeBRTnkJsVQsuwW7IfBFhu5mMEoGqmpbeb753/BjOTSkEK4CD6fgsVioqWxi4UriplXPJOzB3f2GyvAEGOlD4IgkJS4EmfvWTo6dpCYuCqqXtHfGhM+qpKSEk6ePElPTw8vvvgiH/rQh9i1axdlZWW8+OKLfPSjHyUxMRFJkrjhhhv6E3JHw/DZWyTdkuH46le/ype+9KX+z06nk5ycsUtNp3DtYLIamL4gFa9LQfGp1J7txHv5CnpXJ2I4tu/rdkfdPuByUfboh0bdR8DppvL5vTQfOEfKvCJkc/TkS7NtfMRTijGGGfevGDXvJhpauzvYVJfImjlDs4jbs4rxe3qHJG3W7t+C39mDwWBCkGWQ5f6QFJKEIElseGig5FcLqmT+tRN5cQ45d4dLum+Y8CFSsWcPj8y+duRPW7U4ygsTSbRPvAw89rduZtwUmaBO13XObvkLutNE+cq7Rqw/IuwkJSGD/OwoFO8TxPCUU13Xee3N7ZPub7xOJ5fLRdna62MU1XW42VHdQZpRJlYIIrVtxuk8Ga4GqyUpaT3p6bexJKWIuO5aqnqqmJkc2XPocnbidTvweXvxu534Pb34vL0EvR4IKAi6PqT6SRAEdE1DU4PUlCWzFFj8LyHPQu27R6g9WI81O4uzXaV86LOfo2JTJaf2HCIpK43yTasxmIZ6DvqEARo7W1iXN/4QDMAe3+SJJPtglGQyrKGwSILRSXHqOI4h/xOc3PwHpk2AduBCZTVr129i3aAb6HB1Jy+daEAJ6izMT8TvN/CLQ28gCSI3588kyRrP5cYmmprbQYS54hLuezBySGkIJuAFjLXPQrX6aG9/l7S0cZJKvseYsMFiNBr7k24XLlzIkSNH+PGPf8yvfvUrFixYwMmTJ3E4HAQCAVJSUliyZAkLF0afHaenp4/wprS1tY3wugyHyWQaV6naFK4fRFEgu3RAv0fXdZwpMzE2X0FpacW6cAHyA6tH6WFsGGNjmPHxm3DUNlP9ykFiyzJIKy+O3HicI0jIIJ7c8QSDwYiqsClZRSOW+T29nD70OlowCKoKqobidbPywYEQaMfRC/ScqcCcmkTvxUp6UuJY9tBdkzu46wRV0zFMUlVbHCUpVRAEZt/4ALuf/HeIYLCIkoSmjk5odjW4WpKs0UJCuh5SCddUDTWoorqVsGdtgDhRjr96r8AzZxpYmhHPRW+A2o46FnUeJr9nFWl5qUjE0VL1FjVn/sDxzizkxCwOdS+nfFpN2N814CPrbtmG7WAXRqsdk9WOxRpLQnoaZlscZosd0WyOWrEHcOidl3ghzIGj64CQCCmhZ0NybshQL5ldRMnsIhxdDvY8+RwLH72b2PiRuW/G0Spw3iO4xiDS64cgIFkT8LpdWIZXco262dB7b3FBEosLklBVjXfOtWIXiqiuacVZfZ7k+S5sMQLeCrjrw/fhVwLUtTWOaz+9jZW0X5GITyvH29NCb8dF4lJmYcueNqKtpnjQPO0YjSkoihOD4b3V2hoPrtrvo+v6kFwSgLi4kJV6+fJljh49yre//e2o2y9btowtW7YMyWPZvHkzy5dPjkBoCn87CIJAXJoN0uZiAdwHDuA9eRLb6tXDSpcnjri8DOLyMug6V0v1WwcRBREdaKm5TExKAkazFUti/Lj6CukBTW6wCmoqsjS+n830uWtHLDv8yq/631f+4U1s+ZkUfvA2vO09ZN+6ksOv7pjUcV1PaKo+Is4+bng7cT3/0yGLGlUPUski4guKcXW04PY4Im4qSBL6dTRYANTedl7aeWxS21oUN7t27RqyzFPVRV5BPhBO8BYFzLIJz8m2sGctJE/hv9xD0iNjV65EgscfRBN03jjTzF35Kex++VWSzRbmd1Ui2E1Uq7to7tiIUc2nyaiS79Jp8E2ny5oImkJ2t8o9G4cOWE9o65m7OHLoNupxBAK8e/k4dT3tyHEG7l02chCMhLjEONZ+6mF2PvFnVn7sAYwTEoOMjGudnh9jGr/3tXjRDZzd/TILbnxkzLaO7k7MZguvvrGdlJQkli+Z07/O7w9gNBrovXiMOaVFGGqb8cQbuOfGUMXfG8e3cPSt6n6nyZFT1SPCsAIQaHWTmmUHXSe/6A5iE0V6mk9gsMSROfcOHI0nqT/xOk1Bkd5WJ8nf+wGx6VbiPzUP0/HXkVd/BMPSyZXAX29MyGD5l3/5F26++WZycnLo7e3lueeeY+fOnbzzzjsA/PWvfyUlJYXc3FzOnDnDF77wBe666y5uvHEgjv/YY4+RlZXFd7/7XQC+8IUvsHr1ar7//e9z55138uqrr7J161b27t17DU9zCn8LqIUFVHznP7A21YdYTYehvWLieRaJM/NInDlQvtj1VgtFq1dhsY2cqUWHzjiT7EdA1YLIEc5lomg5fgXV4SBtdcj1GpMxMRf4ewlV05EnWbFlyYrFtvEDQ5Y5zz4DPXUETnRiSUzlxs9Gll8QRKGfiO16IT0+huVrx58UPhbO6yfGFf7RXAqapkXka4mGll4vHV1e3qnuwKWo3JqXTNPJnRR4KnE21tMu2clKXUSBw06b2YqjWyRGLCBtdSGfspk4e66RJ6ud3HXfnLF3NgYCSpAvv/VjHp9zI/NSZ2IQDDR21PeHRHW0/vBRZmI2hmGJo6Iss+LjD7H3N8+x+pMPh/PJQphMLvO1zn+eyN1uMluJiUuhq7WBxLToJJoAR7a+gUNOI6AESU2ehqPXTazNyrYd+2nv7MFsNGC1mqm4WMk999yMdVARS0quzMJxsD3Xbq4l78ahJd4piWv738dnz+PNxgRm2q38SW3B9fCnyOp5mceT55P7wU9izJicIf1eYEIGS2trKx/84Adpbm4mLi6O8vJy3nnnHTZuDInXNTc386UvfYnW1lYyMjJ47LHH+MY3vjGkj7q6uiE/0uXLl/Pcc8/x9a9/nW984xtMmzaN559/foqD5f8ANF0n49OfJqs0cub5tfhZaGpwRKnkWNC1yc/Igqo65iBzpb4Gp8tNXU89SlBBlCR0VSMjMRUcLi797FniZxQw/bMPRdj6/UfkpOs60mQ9LBGwaNbDbN33PRZtiMzM2r9fVUMyvz+T/6JivKVDsgiKBqbRr6uqqnTVtdP4h5McyLGROCuHeck2NswKlb5vf9FB6fwSBPM8rJn5qF4fnZecZBFPc6rAnFUzScsKGcPZhWk0m4+HRDgnCZ/i4njDWzQ7a7mzIB+j5qOn1x/W3emjCxAQCCXGdvW24fR0MTt/ZFqAyWxkyWP3sOepFymYW0r+oqs3pP5WKFl0A+ff/m9iZi8OGWuEGY/RwuXmOrqukWdoZvpdH2LfwZOcvXAFc1Ud3d0Olq9YxA1ZI9Mgelo6uXTwNAgCHmfvNTnWt042smFaCnF2A4uPvY1s1lj9yI/IyhsZ1n6/YUJPg9/+9rejrv/85z/P5z//+VHb7Ny5c8Sye++9l3vvnRj9+BTe3/C5XLTX15CYOfqM42qhBoPIhomFmxRfcNKcHEFVjehh0TSNP+58kcONh1mdv5IF02ezsWA1MeZQUa6u69S1NBGMLydhfiGJsyO7zyfPeHIdoV17OYI5+Rs4dvZZFsyKZLSFd6sGESPkC11rjCfJf9wYZz+iSULzqYimoY9gNaji8/tw1nXiquvCfaETOclM4UcXc7azhQfmDJ05x9x4I1nzM4cwlvY6zlG6diazh+9TFMlLieNMVSOzC7OGrhyHoVXTeZID9W+woeiDLC8YHzFhXXsVJ69sp7PXAYKE3WSio+cCXb2trJ33capbzrPu4w9w9uAZdv/6WebdN7lkz97gNQ4dTvB+EESRjhQTeWYjCBKCDoIgAeGqJkKMu/60UJ7PiqVzx9Vv5bELzL95OYZrkK9ZUdXFhW43MzNiSYoz8tuf/pDb77ybrGmjM9G/n/C/bPoyhf8taKupQhQlbAmJYze+CkRiUB0LssXPxRNvDBmkWnUzrcLYlTW1jk5K0lQyfQ4sooyu6ry4721MBiMHGg7wpfWfpSgzf4QXRhAE8jKy4M6sKD0PPad+w2WQdo1fUVE1EIMB5D6SMF3rp5QHQNPwOp04HM5+RlwARVcJGIU+YW0Gm0Z9xHAhd/7Amj6Xfkevg8augZBV33WL9EwfetoCvT6Vnt7Ovh3195tgyuNw8xbakpvRLeIgQr+BP0d3J3bJhtfVi4gGwUBYJkAIK/WG8kEQRQTE0KsAIA60EUAQ5aj3iChKKIqC8SpzrCYKwSQR7PTiv9KDYBAxz0qiavtZBFHEZDIiWQxMv2kuDCoE0WubeP54w5B+ers8JG+pxTDoywi0Kezfdjzifq3AtmMVHH31JAGHGznWTtzsYnqVkdw9QU1HDidbO72t7Kl5hYfnfQNpAiHRnOQCshIfQdeD6LpKp8uN0RjPsplZXGk8iiwZ2XH6dbCCvtjK7jd/RnxsDzvOhAbovryMSDhW78CQHQq/qT6FnxytjdguIkGBppG/8y2SZk2PSBBQ1OvnwPlIdAJRoOskJsvYUqPnXtZceJvMaSOZiEeDx+VDnuC9KdAnJ3CZObFWJDFU55+dbuPOwlAlbTAYRHN0k543dojp/QRBj6TS9b8QTqeTuLg4HA4HsVEo16dw/VHp8XHW5cUsCDgP7EL1ebFkjD1IQ+ihUueoxOerY2bC+H5InpZ2rOnRCea6nWcpH1bGGVT8zFv38SEGy6s1+7gzf8WY+/MGFZ6qPsHLrV3EyxJOn4rb2ctKCVaH2WI7e6rwuZrZmDrIDR7+lVVfrsGaMyvqBK63/Twx8TFDrIG+43ynNkBSXAJKTT13zR5mCIpifyJxtyihJST39yEAdSfexn/7bf2f+57OQjiZRxD6tg659fv2LiCwvaaOB1JWhE+jz+gYeexDiVZDDSTFRZJ1MA+TQHtjgCLFyO7jl0jITcZYHjdQDh420HRdRw0qxHqMCLqAXLeT3MIZISNM1wbp/+iAFl5O//vBxlGws5bsB/8j4vU+tW8POdOLSUwdvSpxvDi/4zhl68YWOPTVOOjdVkfcrYU0b63AKXsouGE2tuToz65D288yf2UpBuPk5pmdpy7Tunk/cnISqesXE5udTOfR8zT86RX+vCoNLU8iOyaF6bFZHGi/RIo5nmZ3G4nmeM43vMjdMz6OGEFTStPh7oKxfzvjPs7TPyap/Atjttu5YzNr101Oh8jvcnNiywGW3j0J3oAoaNj1BNlr/i7q+vqKffypvY0C41AdsrS//pXcmSUD93Tfb1/X8XkULGE+lpMN22HlOgRRGmHIDfk5dvtISLHS7vIj9h6mKGcRg822vl96j7OXVGc7M2aEhWmHP5MEEYx2SCsD4/goIyaL8Y7fUx6WKVxTdASCHHG4+ea0TIx33DmJHlbxTNVhBKOJW7KvPqa9u+IJyotH53qZCOo93WxrbyFWErg3M4v7c4c63i9eepX0JBPzZkXOz9CU31Bw62iqtNHXdT35Z8wpsax+7OOj5tFEUlRROs+wuGByeWH1vgDLiyfLOpwGDA1/neo5hbndQ15JIYYYM1eCLVxy1BKPzApXGrZgKCfJGQhQVTabaa5KEg1eUlaOzh4aDS3v/jLqOovNhsfVe80MlvHA51f40c4rnJZV0k7VkJTsZ1lxNrNHMVYADEaZgF+ZlMHScfQCvZfrKP7cg0O4jFKWzCJlySyadx3gliXLcAdV3qg/yrfm3odxcDVcefTf8q+P72C35xDhjI0waZ/eJ249WFtyyJgsCmDSPMw0h0t0wys9vRcZTwr61UTx/IqK0XD9w42DsV8MsKqwgJUZc4cs39veybQIBJPDkdK1kBOv/47VH/rquPe593Atc+dP5jkMaCr4nTiOv8S5LqDkZpYWJA1TNn9vMWWwTOGa4rzbx5I42xAX9UTxcOFiXq09ypOXtvGR6Wsn5IKeLAxyHK8MUnMVgCsuF1+eNZSc6ZXGCqZbZUpj0/uNlR5nAyfPP49BMqFpKquWjD07nAymG/xMu3XlpLb9W+bGXOx0s7m6HQCjLCEqQarTzey50MjM3GLizYWsSC/hhzvPUtfey5qSPAKaTkKSlVtLith1tILSrI14t28PR4EGzkXXVOS8QgxF0RMGA0oLp/c8HXFdd0c7OTPWXruTjXDf+2ubMWSn9ufjOFwKd3T+nLvUBr4jfZ7VC0sZj6O7z2CJsU+cYr/uJ79h5o+/NSrxIkCMLPHABA3b3kAus4sHPH4hb13oOoiiGFZPDq8j/EHXUXXYs+1N7OuHkova8yc5wE4AalC7ponkY6HZ3UWGNW6EsQIgjDPIIesi0gS4XmDy9A0AiBJYErAvehjr7pcQe6s5WiuyuOD6hvlHw5TBMoVrhh/XtBLUdT6cdfWKuHfmLaTG1cOTFdv5VOnGa3B0o+OW7Fkjlr06yID54YXtHOjpxaXCHLuN+3Jn0dh6hoqqd7CZ4lmz6O8RxpEg+r9MzR2AVofKz47Wkh9vYVpSDClWI5IOvzheR4xBIhgmlhscYtN0nYCqYZJFDH43yb09mEwmuns9iPkFnLh8gYeDFcgNodwJ3Qk/2vVnTtkTubzmAayX2hFtxby9by85pzXac2wkzM8nLi9j6MFpGq6/vIhaXzvg9dY1jPMWgeolcPYCNiWd3FWRvWxN7RfYcfxVzvSMj4hrLHS3djA9MAuDMeQl6nljF66tu0n+uw9hmp5D56Um2ptb0Of8Hek5Nm5RBJLNJlblj83SbTTK+H2BSR2XaLNhiL1mqkxDYJBlEmwJYzeMgBhbIpI1dfI717ThiVPjQlBREOX3bvhzBP0c6WpldWaEleN4KLg9Do688gTLHx+9sm6yqDy9F1FT6W5vRJaNKGoQWTL0Tw68Hg+VKtw/K/667H+8mDJYpnDN8Pm8VM64vGzrdOJVNVYm2Ig3TP4WSzNb6fKPTx8oKoITLwV0OE4iy7F4PFU4A3OxG6x8ccZ6Du1+kn/IMDI/ex0HDv+QjLgC1i39hwlZIZqmE3D5cNW14qhsBnRMyXbM6UkIFjOKL4DiD+Ls6MTZ0dU/P9LR0WrbGB8110hczUwrsbOLdUk+Gmv9HDnnxxUIogsCm7ITiJUN4eMDkzmGvBkjOU28AYXn393HAxuX8uru47gbapmfkEAwJ4aGthZ83R24HDEoMQuRpR7kU41IF53MKEpBFAS6LLUo9RKueAXJ4MWSkoVkCHsKRBHbg/ehazpC2FWtqyr+fbsRrHZMy1biPBP9HjRZrZSUTmdh3rWZ1R+N2UflTfeQcPsHMKQlY5peQNKnHuXMn5/DIevEJNhJTE0KaUnlzOehWeOXHTCYQh6WiULTNDi2B9WnIMa8t2GQwdi5pwZFGcqrozRO/vctSjJqMIBknDjxnKooSBOkQ7ga7Gs5y8cKx85tioT6xgucfuNpFj34BTyKB5/qQxIkREEc8jq80k1V/IiKZ8z+dV2nq/oMuYtvI3/O6oEnhSBQ2+nmUksvdrOBhwsS/6bhIJgyWKZwDSEIAuX20Cyuxa9Q7Q0w7yoMFp8auPpwkDySUE5VFVTVja6rhPgRBl51XaOu/nd43JUsTLmFA63n6VV8CMCHC+aQHaxi14Fvccuyf8Vgmbgce8UFBYf3CNZLGnJpBhhEnCe66UivQU4xYTDJyCaZ1Lw0SpfNGlLdUtU79sPneuCG2CtkF32Q7P5khAFSML0vCRaoObY5osFiMRpYvWAWv35pK4miTIE9Dl3R+eMhC9986EPIkoRRhNder+WOjQVUX9hH/II4UrOyAYGckpWYLPH4e9sIdPfQdeZIiAFXEElduAqg31iBEEOuefW6QUcQ3eVulm0o6rVTt7a4eqieH0PJFz80ZABZ9O9DFatVn4/Kt94iqWT8Boski2jqxEJ7XeeqaX1jO/LtDyJbh4aDHC31XNz9CrokUmlKAJZNqO+JQlE0Nq4vHLLMv/3UpPuTRRElGESaRIFXMBBEmmTycnRE/m5cSoAKj0KcNXKelBJzjIZdldG3d3WSdeNsGru2oRFWhdZ1NF2lqfEyunURWiRyKV1ntt9G0+4/9C9S/R7MadNIKR/wWgc1HWtCKmkZA16+s40Omh0+chOt3DgzfXyn/x5gymCZwnVBusnAzi4n8ybphtY0jb2tFaSY46/qOPRgL9XVPx+yzB9ow2otREBA0xRcrvMYjEl0du7G728lNXUTKSk3YrXmcFP6oiHbuq40kDvrkUkZKwBlc4vJ3RgaZF2NvRhtBoxx72/CJlEUiUsYO8wXmLWK0ztfDH3QgpSvf6B/XWFmMqoOumJl5Y2h6qnY9BR+8futJAYyyS1LYt26XBLSYkhIu5FTe7eTkmXEHj+Q7GuOTcMcmwZ5oUG+8+wxfM7W0LJREX1WaJKsBK/SYNE0ja1f/wjWklIEo4lN//3MmLwuoslEd2srdZcrUAIBFCWAGgyiaRq6qqJpKmg6giQiiBKCKNLT7kL3WQj2upAkGVESEWUJUZSQ5JBSsCiLSJJM7S9/QfDoEeSNa7AuLCSptITa6pM4uprxtDSi9bqwpGYw/55PYZAMHKk4EPXcuhx+trf28PN91dxVnkmnO0CazcTnFobSuwMOP1u2V43YVtd0Vq/M5ciJZnzeIFcaHAwP7gYaW1Ge/8nEL7ooEmx18rzTjGmQivjgId/dFSTeHj/ynHTwtzRSUnWSbVv2kDEtFM4a/I11BbowJE4sV8gWF1no1SrJrElK4U+Xd3BX3lJsxqH9qrnzyC6YWLlzH057nqW8fPwcZoq3l+Ydv6GppxlV1chZ9ziyKODq6aCh6gLZhTPocgdweBU2lr13iejjxZTBMoXrgm4liKYP5XIYL6rrunn58HMUxWUxJyaRY+3DZRr0cFnf0H4FnxNX5hUQB1y9AdVPQcHQ2W1d3e+orf0F2VmPYTKn4+w9TUzMdIqLv05T018pLflO1CqcGi2N7mMHibNU9+11yHENLh/Uw0fY9xDVdHjOmcn8wVwardGuwkAwKPPgLrJiE9B9/miNx8TVJd2O7/tLzykiPSdkfJ169cfs+9Xf05RzOysXLyAjOZ7P3n8T7+ysobnZRUaGjTlz8pkzJ599L17G77uCs66Zi60yJfNWMHv5Gs7s286MJQtoaXkFu302CQkh41FRemlqeg5nVSVx9YsRZQPGhOgGpDbKdRNFA7oenMC1GApHewP7vvZ3UJjDgvs/g8UyPokIQRBwu7pR/H4MJiPWGCuywRhKUpVCRkifNEHIgNFIy1TRgyGFZDWooqkKWtBPUFXRVDW8TEXXNJ5JPI7nBg9fvnERoiTTeukUttgkchMLsc9YjTwsebPvt3Sutpa2jk46uruQr7iInTkHtVfB6VPY/uGldPuCJJhlDjQ7+NruyySZDbS7fGy8s3zEOXa2u9m+q5asbDurluWOMFYAFEMeiQ/cHGFNdOjhsvWsXbuYU5JLbGakxBDYv+04yzdEIWjUC9n62zZWP3w7JuvIROQ3t/2RWzd8cELHtevCf0VcLooit+Quwh/0s7nxOC5FIcuWxqq04qsmLBQilJmPBoPFTu4tId2+Ps9Lc90VDCYLjsZLZBfOIMFqoNcXpNnhJSNu4gne1xNTBssUrgsSDDL3pCfwRnsPy+NtpJrGjhdXtbtoudxFXFoMX7o3Op9BNLSf2UP8tA9hMEQfvHRdp7v7IEsWv01zy0ug6xQV/TNmUyZ2+wySEkevwpEsCWTN20Bh+tgkc8OhaRq7zzbyQPnE2H/3tqRQOI6yx1FxlUVCtYffAkkma9ZqZJOZ7gt7aKqronDuSixJOTBMKyZn9hrUGStZPn0+L+8+jhoMIrrNKIqJjIyhg+WKe6ZzZNdOZi37OI7Odo7vfJf45CTa6nqwZz9PdtZDnD33OXp6lqCj0dryGvn5nyVr5UxiY8rRNR3DOA2F4QixkU5er+josz/FsnwJyx/8IibzxLgq0jOymTZrOB/ttUFG90weXvEx0hLDHEhZeVC7H9ougTsZyu6CcNlyY1sN5nOn+UuTn6yUZKYXFrDYMoMO5Qx5q0J8SIe3VyOJIsnW0Pe8MiuBlVkhz0Qk7wpAUkoMt9w0hvdwEjRggiCAICBbLAT9kzPivS4/yTnpVNeZ+N734KmnJtXNUGhm/F5XyHAMK3VfPnEC06C8oQIAHdpqT/DbowcREUmxXsCbvhSLJT5q17quoyg+jEYLTmcLlVXvUFpyN1fzw27v7KTp7adIzChg/k2P9S8XBIFNs9LZcbENWRRJsV89y+61wpTBMoXrBpMocldaAkccbk70elibaMc0zHOhaRqnz7fhcSsk200sX54bpbexoeouZHn0sj9BEIiPD83U83I/NuF9yJJEMDjxxEdgQkJ31xpXk3SrBRWcjiamL91E7ZE30RQFa2YxZTc8Ss3JXQQrToGmomtBlEAAk8WKrkNyfhmCIPCBNQvQdZ29W46x9OaZnDp8EfewfJyOtos0N10hI7OIBes20dvTQXZxCSZTLLquEx+/EB0doyGRZcu2Xu3l6MdVU/LH2endvoPqmYsoXXTT2O3fA2iaxlvNm7lXGeQhEGXoqoSln4Fd34eEAsheQK/bwc49L/Gxe740op+O9+Jgr+L6yyYTQV/kcJ6rw4nYNHCP6XpI3UcK76/2dAWZxQV0T95pOQKtB3Ko9p9BkkIq3aIIiVk2Ckojl4mvD7/u2bKXk6d+jap6KSl5CAGJ5OQBz1B7ewX19XswmWJR1QBGo52ZZfdz+vQzKMr4DJZgMEhjYyN+v7//nj9rnk92/nRcokzdpTbsZgNFqTbiLKHJ5brSVLZdaGXDjPdPaGjKYJnCdYWu6xRZTVx26xxzeFieEDIoXO4AJ863onlVZpankRw/edejt9eDOcbCM6dbiGt9mRX+GIyt3YhWmfyHBjRPurr243AcJxDoRNO8k9qXJBrwBa8i+XUyM8rJ7+2adCJIErEpmex77Wk2fPhrQ9YVLFjf/77twgEaLh5Dkg2Ubnh4aB+CQEtbI4d3CZTNKSIhZbgXbD7nzr+A21NNUdFG7PHJQ7YtLAhx2zQ2Po/DeYq42BCp4GAdIE3TaGw8SmxsNnFxQ8MEuq7T46hCEq3Exg4rjY6CC0fepbepFoMlhrZzx1BOnSF50230XDpL/My5pKTkoe89wrr/+RP25Mh96prGqV8/gTEmBl3TMNrtqF4viBJq4BqOlmGcrTrK26deIV630e5oISctnORqTYTS26B2L8y8Gz19Ntv2vUhHeyOJ8eMoK75eND6CgBZUESchyBgyWIZew8OHD+N2uwmc7OByaRn791aSZTXxSuslDH47H+yKYdbaZD7xuQRMiVnMiKLAOpkQqr04mdL5E09clkQraalLMRptnDv3FPFxJdQ37AuVFYsSvc56li378pBtAoEAHk8xLpeLy5cv9y8XBAGTyYSqqiiK0v/7EEWR7OxsTIM0iaZPH6oh5PAoXGlz0esbmJCVZb6/WOOnDJYpXFfs63FxqMdNriST2+DhoLEHjyNAbJKZWJOBOYvG5p8YCye3Haa1sRmXyYFQ48Dhiydjmp3cW+4Z0q6jcyeybCeoughO0uiQZRnVN/kQwt8MVzHgHG33UhDnYe39nx61XeqMZaTOiP7ATstNYMXqkVVEfZhZdi+nTv0JTdOieqOysh6gqurHdHbsAkGnrrYFSbawauU3OX7iSbKzVtDYeJi6eoWyGXfjctVSU7MPHRFbTB7NLdtYtfJbAASDXmrrnqCt5xKbz/0X3c5zWEwpxMbkY9x+iZy1HySmJJHejiaWPPJFassPMGvdPUiihKOjiYu7X6Vs4/14nnkBX5iDxzitkOaWRjQ5JHynqyr2zEym3XE3AJ6WFoxJSWh+P8dffZH9LzxD+YZNmGNsXNy3C5/HzcJb70LXdV7ccoia5m5uXTmLGdNyaGjpQJQkMpLi0HSNHoeLpMT4/mujqSpffPfz/PDGn/CP0yJIEaSUQEoJXY423nz5B2xYcS+ZK+4Z2S4SRjF4r8ZLJVtUfC//AGEsAVO/C+PGjyElDsz2ZbMZn9PZ//nKlSucOHECWQ2Sk5tGXPMFur1BKjSFFQkCVc7tHK1L5fiTN7J8YzHf/z48+STs2zdyd1dFuDZBuLp7iJ1WRmJmKtnZQ0ufOzoqEYXQvaWqKg0NDfh8PgwGA8uXL0cexiWjaRp+vx9JkjAYDBP6buKsBhbkTY5P573ClMEyheuKlQl2VibY8Zxqw7IkG+E6sEsuu2stAEtOv0XarA2AIeKAVzz9Xzh1+pN4PNUYDJP7YRpEGVWbXEhoMrhWUl+eYOQKhvHAEWelwyAgxVz/h1nANJ2fvvUKty6Yx7T0/IgP3MLCkLdF04K43S8TF5vPiRO/IdY+jfT0WaSnz8LpbOH8+RcwGlOYNesRensbuXLlbUpLHu3vp6trD5Jo5bY5/4HZlIJfcaFoAWymRJoqnyBzxuIh+43fMGBcxyVnsuQDQ/OsNE3Df/Ys/rpq5jweOQfLmh4uETUYWPrIh+jt7ODyoX14nA4kg5FDDW4uvbEHQRRZu6CUjKRW3tx7hpOX6tE0ldR4G987coWi9Hh63H7iTCIbFpWy7VwV+7qOsTj1IYpzo+fFePwu3tz8NA/e9QUuXLhIxZFPIgVno7ryWfvobaN/OVEw3ntUd3UTvHAcJAO6FpLbNClVGDZ+FDF+dPbU3hM7ufLXpyGthL7kdl+vk+T8Ac2xoqIiioqKaGtq5NyxozhbzpAQKKBsZjIBbwB763Tmbijj7X0zWBx2LixeHNlguVb2irPdgae3h/TCUEWVz+1FDfpprW7D2dbBnI3LkKu8dCd00XghRH5Ysnw25lhrSE9LtSHLs6moqEAURbKysrBYonujRVEcdf3/dkwZLFO47tA1HT2oozoCyIkTJ3kaLxStB1EcPUEsNeUmLl76Bm1tb5GT89iobSNBlmRUdfJVJROFT9Ojyhwc+cF/4Xe5QNeIz5+Gu1MgJTWFSE9bxSPy8v63hzhaFDXAA6vGJkzLN+Vz59LrT5f+gyOnSDXHUieInGzp5uDlsywvmUNh2mh5TTq5uYvIzR1afh4bm87s2QPaQ5JkRhBFUlJCSaC6ruJwHGX69H/pb2My2Bi4eyZuKIqiiKW8HMPpE+Pexp6UzLxNt/d/bntzO3fcuqr/c2ZaEisWDBXv3LhyXv/72jYHL20+QGu3m6/fcR9ffmM/7qCGMUKOe3t7I6++/EvyEo5y4K2dBAUHuuBHDhRhUmxcfmUfxkHJ8b6OiZMujoZgcwNIBqS80lDuiiBCUfmoxori84CmoMRYiJk7C1vBwlAllTDArNzV1YXRaMJmi6G518Upj0JFTAIxy1dzxq9i0S+wInU2n92vo9TUUFS0mBMn4J574OjR8H4Cfno72nF1daIFg7R3NLGvcR86OpIgkWRJIseeg0WObgx0HD/KwS6lX0hUByyxMZitdmpObQ/lYJktSAYTiRmJ5JXP4NArOxCdbdgT5jN9fhn+VhcX3zyOsSgOKc5EamoqxcXF1/Bb+N+NKYNlCtcdR88doquuAYM/hm5/PWsUiVhjEgGHhx77yqGJd0LfxwGl4SHjrxBy13qcHRiMwf6HliAIeF0+Lgl/CqsNhyWHhZCWiT/gosNZi2Q4h832ddrbzbS3vzws52/YQK8GyNfqkAa5XbVggJ4WgbNtThClEEeGJNFjtoLBjCiG2SdFGVkMvUqSjCTKeHWJc14/zzV14tM1ApqOoukEBs1QB4qZQ/AGFDaFvVKq18vFvzyLEH5gJxUWUXjXBwDwuQOc3LKPwrsGE6YNoJBbAOhq6+HcicuYY0zUCnX963+y7SfYTXZsppFJy7UttRH7nChGm4krikJLQzNyl4eF5Xkc2lvB6vQkelq/j3fDP2JJzL+qfdvtqfj9Pezd9y1MprPExy8gKWntVfUZDe9lOCEvNY4vPjrA4fHc48n8w89/xOfsb2GcfTcnL7uISc0M8bwoCvc+8AWqf/MsJpuV7LIl9G49h55s45LYwvQPT05ccs7s1P5KoZqWXvLT7QRVnRvW5GMwDuSmCLIR3Z6AmDR+Kv7aN39ATNYMdMBlzMHZ1BSu9KtEk9I5U9uBTwnSZjJiLy1Ekw2UJcYxa85cAAqBK50Se1z7+UH8X4hVZ+DUKvjtwc+wYolEYb4Pr1ek5UozscmpZJXORJJlHp87ELpUNIVuXzdnO87iDXqxylYWpC0Y4f1LnJXE0hvWExmRk2UW3rKCBpeZOKsJ78Uu5EQz5Q+uuPpk8P+jmDJYpnBdcaTlCLu73Ny3+hZyk6zsP/IzEuZ9Ekk20L31JdJXhMsu9XCiW1jhFX3oANenANu3qPrtCyzeuDokCqtr4XUlYV01vf+P8Ku718mF/S+w6PZ/IDNzPgaDZWj/EQbT5guHMcTNwpZd1tcIuxZktaKg6xqaGkTXNDRPF7H1r2HMvh9VU9G0IEE1iKb5Qp/1IKoSZF97O58sWUOiScYiiZhFEZMgYhKjVxC5e12cOdJG8/69tJw8wYyHH8UcPzI0Y7IaEMfxkKu8WE92fgaJyQlUH6rhucPPISCQaE2k1lHL11YOTaqt63XR0LJ7zH7HA3dXL+d3HAchpFDSJ/qmAZIo8W8rV+Jqa6PlldMUzthJVtIc1GABhtjIA5yqqYgT4KFYvuwfOX78JebP/9Y4Wl/NgPG3E5pMionlG5vW4wuUYElMYIbnEimajCZIYLLgPvoW6VlpSF0i+ANYynM447axICOWnreqsK/MQoqdWBlraoqNjeuHGronjzfT1e0lLW3QctEA6ti5Y2owSM2Fo+jBAEHJTMbSUJ5NJvCr0xcJdL/NykQ7O2oCGFNE/n7TA3z+cCWPl+VQGIFTZV3SamA1zP8KAAnA2/25+H1JpdGJEQ2igVRrKqlhzaNObyfv1LzDqqxV2IyDzm8CRoYaDFJ/9hRqQCH7pnJMqRMTNfz/K6YMlilcN7gVN5qm8uU1G/B5u9ly4OdYZMsA3b4gIJsmR70vm2SkcSaVObq6OLzlXe78xGcwGAeS+wZvG6kfR+UR0jd9gkGNECQDBmmov92Pg1iLjdj40flVKrR9LEiY2INJ0YK0XTrL9PKZZC1eGtFYiXb8kbBo9WzOHrtCZ1sV999yR9R2Z1va2NvUxjSbhYyM8VXVjIW8+EzK1o2up2JJsZEysxB3xzw6q/aRM+9jiHJkDh9NDYZ5VCaC6z9z/duZKyGIIsQmzyEzdxp5+ZE9br4d2zCHv4sXvruLn9S2s2xFFvlvV7As0U7G+lzOnG/D3+4N9xn9ujl8Cu/UdFLV5UYDPMFL2L0eypwm7LUDvzefo4VFWfmjmAYhtDbV0tvdRt6MhZwIJnBi56n+apffX3SQlbyaQwEnd8wS2HpC4+c7rvCfy/Oxm98bbaAkSxKb8jexrW4bxQnF5MaGQpbjqSxS/D7qz50BIGdWOQbj+4fj5H8DpgyWKVw3PLXv5xjcVzhz4jcEeup5ItjEamE1uZsfI/uLv76qviWDSDCgYRjD4Dl18ABtdTVMmzNviLEyHogxSUjjeKAIoowkjS5BcKm7Gr+qTmj/ACoC1rvvJWn2SCbRkYj+wNQ0jbrKJhprW9FUjbTMlIjtzra0c6ytgySziU/NDylYv3h88novQ44uMP7qqpjkPAxWO20XtpNeHpnfRNMURPE6DVLXKNn5bwFBlMadCFvf0svKslS62z1c7vJjnZ5A9ZXX0b73MgfzVhOcNg8xXAF15PB5lICDHGM89eSCGDK+Kzpc3FWazu2L8gnqCn+qquLTpSPp4ts7KujsvDCmwSIKEJOQTkJKJutThpani2nNmGSR1BgTe+q6uHumlUW5Ce+ZsdIHQRC4Ie8GLnVdYmf9ToySEa/fPaTMHkDx+ehuacLd3RXKh5EM5JXPGxJmnsL4MXXVpnBNoesqxw7/np3792Cps1OVvoFb0jqJeyvAipg47HThOXqS2oNrsXz+n8buMAoko4jiV8c0WAqKizm/dwf1508Tn5RMQmoqssGIJI09M88oWUDD0XfJXjg6IZggGNC10Y2RFxqr+HTRwjH3ORwBX5Cq59/l1HEnVV4HydMkRFFEB5KSkpmxcBHuni4qDu7H0TGURCsYUHC0O4ix2dmz/RAFxfksWzcPcVilll9ReLGiGlXTCGoaH54zNMlT73Wy9923Q+c6zuMWmlTiC4Z6nIxBCef2uiHLOt27iMnIi9pPa9M5GpRaTMaRfBCqFqS5SaatbTdtDT1kpof3N8pY7ewCxiOaKwgjBp//LZAkiaA2hnEoQGfdISpObKayMQ9FVZiXP49L9S2kxMcz97Efsujof+ORExAQ+r0HVZ5qHPZVLEnXWJI28ntzK0Ga3e0Rr51RNuN0t+FxtfYdAoKuE9SU8GsQVVNwO2tQGclWva/2ImnGIAgCfi8sShY4UtPEikmqIF8LlCSWUJJYgqIqZJTFU3PyWP9564DBaCI+PYPU/MLRO5rCuDBlsExhwggGgzQ1NeEP02L7fE3Y7E3ILd20PvkrOrOLKYi5m54UCxZ/CxWJeSSucbC4+l2yvrslVNosSrRue2nSxyAbRPxeBWvs6F6T2MQk1j/wKBeOHqax8jJv/e6XLLvtbmYsXDyirRoM8uYzf8RijSPR1YnN9zYdvjS8tZdInLGIpLLIHCOhGe3oBouZAHtbL1ESn0dx3PiZIwWDSv6NCfxBdxJjzuHfV4QqRDRN4+f/+W1aL57BFp9A6Yo1xNe1s+e5d8mZUYApJobLh09gCoLNkUaq3Uhby69o7bFRVvZBEhIGjIm6bgcZNivr8iKHtAwirLxpYnovtW8fJm/t3DHbuU8nklq+Our6GPds6hv2UFoSOXw1N8QfF9KNWT/2wHX2oHPMNgCSaEJVPcjy6HT7J/eforWlCxhwyvS6LZx5e39/G3fzeW5M9yOPYSQL6OQ52hngQJ0cBCGkQTQagi3dJK3dQF7dIXLi20jKvZfn//wqn7zrDqS4ZJRXP8789V+AsqHXPbf+DKLBTHba9Ij9xhhMPDBtA/9z7k1iDTE8Nm0V5rA3wW7PxGCwcrFqCzo6OgK6IPCXxh08nLsRWTQgiTIeXeNiUGew+IUnEGR79WFumb48nFQPoHPz7AxOtB8hy5ZFUcLfTkTUIBkoyC+D/L/ZIfz/AlMGyxQmhNbWVpxOJzk5OZjNoRJlTZvGqVNPM2/pp8lc/EmeOPQltp/RSJa95NkbiWvdwfIVH+FQyhFOvv0p4tJmM7/sAa4mnyCjqIDTW3ez5M41mG2jh2PScnJJycrmJ9/4LLGzS3nl2F/Y03iAtLT8/jana6zIgoGuJpXZiorBFs9mfz69GT70lgPc0BtkRdtgqm8I1rdgXT0LTVPQx6Dr/9LMTWianx+ef5ePlmwkwTg+FeuAFkCRO8mzlZEbM+Bl6GprpWz2LFbffnd/wq4tIZGCOSVcPnKe7pZaVj98G827z+FzODmgbsGUtwFXUOFcxVmM5l4kITQL7FUUPjizZMh+fYqKK6DS6PRyrKKRO1dxXdDraqP9zPMIfYKR4VG/n71W12mob6O0JGoXE8M4Iz2iyUbQ14NsG91g6ep0smbTMszW6OX6x9+tIvvGj44rKbNt5wvjO8BRoCMijnGicnpCSEdr5ef7l61ZsYozB07gcJzgA1lZ0HllxHYWQeKdSxXM1mKZmxnZ8J4Vn8as+Nto8zr5ZcVmcmNS+UDeQkRJZu7sR0a0P6G7mVc2oOwdVDX2H3qDJw69Oeic4LG5N5IXnx5hj9M43nqcht4Gsu0T0+mawv8uTBksUxgXQqWE3XR0dDBz5swh60RRxB/oBELVHkuybsDrf4G8+HJmJ99Dw/nn+On5/6HYXsCDa76PoikcP/8XOrtruYu7J3U8SVkZrLg/mSNv7MZqtzHnhsh6HYOP8YP/9K/84vtfIC4nm7KMIlYuvhWAoBrkgnsHMSYNa3IRra/XktfVwHJ7Fe4kiSyxlDShGE+zgGA0gADBzl7k2BQC9Y3oAQ9ur0Ls3Oj7FwQBSTKTYbYRbxg/sZOOldicR/h8wYD7vbu9jaN793DDXXdHrC6avmggpJOxOvRd7Tls4MHC+aPqGbmVIL882QCajtUkYZElUmwm5qZGzncZDepYIYm+du5iZi5ZhCRF95R1dmzH7XYTEzMxccFICOgiJ9svIAkSgiAgCyJiuAxeFkVEBAQE/AkxOI8dJzYviCQKiIi4Ayr+gIqmh4TtVE2nq9tFT0c36bnRE5O1oH/cFSSVHj87jl5dGbngcHNDsodopbQAYnwivp3bkVISkXMyCTa1UKh2kl8Yh2i6CePKyCKgJgRuTonljw3NZMfHkmyNfi8nmmKwSgaOd1bygbzxh0NlSeTzy6MnhEfC/LT57G3cO2Ww/B/HlMEyhXHh0KFDTJs2jbKyofkNHk8n5y+8QEnxgGbPotzbaemt4faZnwPg4N7nWZ/1CLIgc+jkmyH3hB6LqcpA3ZarE7LLskFXewuX3/wT0299dNS2SXFprLz1Ac6c2E1z20AuhSzJ/POGjf2f/av97Nr/CgZPF6U591B42/JR+9V1nZ63nhjX8doM5gnlRai6NqL9ga2b2XjP/chRqmciYUFmBj/cc5Tk5CySTUbW5SZiNUrU9np54UILoiAgCvCx8izihilrv3p24p6wsXJ6+mCU40Y1VgBWrVrF9u3buemm6LlEAe/49tck5jJdChkpKjqarhPUNFRdR1ODaLoeep8+DUwCbd4Amg4aOq/W9HJ/kok4k4wkisiyyKKFxaRmRecV0XUdozW6evhw5KfbuWt+9Jye8SGPU8dfG7WFcW4otOj//dfwuz+AlJqEZUP5mIaVqgSQjWY+t2A2/3X4JP+8ZB6iKBJQg/yl5hBd/l40QeYDuQt4tmoPDxeuIuc9YEhWVAXD9UrAnsL7BlMGyxTGRJ+bPikpacTgefLUT1my+BtDklgrK7fgDqhs3fZbAn4P6+bfS37xyBmWq/Wn2DbecNXHlwtc/MsP6LmwH3NKDubk6PpEHp+L4vnLWDUvek6GyWDixjUP0NO8hNqqk2PuXxgIqo+JidaeBAIKenAos27utCIaq6vILynF19WK4/hr6GoQ0ZpA4pK7kcOVTT1OF0++tIu8tAR0INYWy8bcJNp8/1975x0fx3Ee7Gd3r9/h0DtAgARIEAB770UkJVFdsizJVbYcFymOHSf2F8uJ7TiOLCdxohIncpFtWbZiyepdIkWxF7F39N47cDhc353vj0MlOkhKFL3P70cebnd2dnZ2bufdd94S5KmzdYQ0gSzB3y7OQBkjZcJU7E6VSQhT42E0GklOTqauro7U1NQRy5isE3RvlgxkR6aMeb39XLD6UK7WkTkjjgT7xFxR//h/rxDSBKvTgxAKhCO7KmM/cqUP2SnanBUFy0fP73Qhqibwt9YQlb2UL+TN5MEdL5KcYkeRZG7LWEa6PQZP0M8r1Uf5ZOaKD0VYgXAIBbvx4jVwOlc2usCiMy61tbUkJSWNuJyQEL+WPXv/gWWzvkhH8U6QZNq6ypkTuYbZyzdhcER8KG3MvunLuKoKKHvrKezxySN6pQbUIG0tZ/CrMRwz2Vm35MYx6/QrCpX7zuKpGTr5xtSXE2Mdus3TfZp68b8DG/picwNudwD3zPBbc5PbwAvtpwYVGhtfdzv5bUeoqxuwF3AEfCgFp2isyEexOolb91lUbw8tr/8Ed0wyUfnrAWjtdLNm7nRWXhDaPSXCwoL4SdyXXiPOsZaTpkqVkDl4piB8mhH6o9J1jJkmI2pARWvWsNfYRyzn6gqyagLuP5oQUxLAAEyKjF8de6nr+WdeQDKa0RpasClm5l+7kiO/ewnPyScoqojirkfvHecsH7JX0iTlo7isBZyv28/B17+LP34u981ZQk7yUAMjm9HMp7NWX8JGjk+kOZKzbWc/1HPqfPjoAovOuLhcLmbNmjWiq2LzyT3MiJtGa+HbpK/7JrLByERXkbW2WoSmIV2CidBgiyAmdxkxucO9f4aUO/ce3Tv/gz0t0znXZ9TXd00XSDmq0LjlK19lWvRQG453X9pJzh1DA3KNZeVx5pVXWLToNmBiHrWD6a4rwh+/gri8sa1eVVcLssmKr7aAxtqwANDR1k2bEsXp7oJJnhUGZjKJprJqXn1dRTGMfZ+EULHL1SREGBCtBmDsewFgdzr57NzRR8z/FNRwV+6WUff38fbuveOWCTdy9KjC42FUZPzq6DN8IBSiNEUj94MWEuJjcaZE03OigjortLUasUW6OPmPf0uby8vShRkYM3Mwzl6MISVzSu25lPQU/h8hTyOSJIOAjs4jREctHVZuR1sj2/1t5Gd/EgmJHZ3V7OisHqFG6Djdht2gkJE8drBEpz+Jt/eMcf/CuQ4RQnDD+pE9yiRJwhfyjbhP5+pBF1h0RqW8vJxQKISmaezevZu4uDgWLFgwpEyEYREZG6aWGM9++/10//YhrKuuw5g3/uR2KWjrhMQN/8w35ozsonylITQVSR5/ucMUN43keDts/Fr/tpH8KaaCW9nB0uVrxw2897udb7Ju2d1E2x00Gt6no/hkr71Sb0oFLezMKjSNgkAsBtmKu2XsUO0+1UeLz028ZexJz9fazeHXDw0otgbkrbDOQg6b07rqvLBy9CXDsQhK5fzhVDFJ1pFDn2lC4/4VNxC1MdzW2roq6krL2HpOIWHpQioKy/AmL6GqsIB4RzZ5WbkEjr+Pb3c3IuhHMlswtdTDoskZnF4UEnSffZJQ61mi1j/S/0LSWv44tmn3YTAM7ffbgayWc9R3FbEu41psxjHuSy6crOyguLKTG5an4bBe3DLhv/z2faqMuyhqbmNuagKyBLIkkCUJSRK0+9yca3iOb664e/zKdD6W6AKLzogEg0Ha29tZsiRsezJ37mgp66e+5q4kZ+L8q+/T/fS/I8cloyRMbSKZDPnzlnJy5/O015ex8NqxjXSvCLRQ2PZhPE7/GdKGvxFfEgblcBq9iKChs4loe3gCi1+0kmBPVzidgSyHr0EKZ7ZURRBf42k2ZW5Emje6d01IDdET9BFnHt82wRjZyrLNNwxrUzifVDjflABq9u4bt67RiLFH8In51zAvemLjNC01g7TUDA53lJB3y0riblmJEIJFXS7e/82TRGdmkn7TfUOOaX9r25TbNxhvR9Ugw9vwzXNEpZI1I/x71oIeuk/9D5rrJMaUTxC94dEhx0+b9kUqK58gO/s7w+qeF5/P7JjZ7Kx8hwRbNAuTRzdKX5AZTV5aJG9+UEtClIXV+RNPfHghi1IzuWnVDEKqil9V0TQRNojWeg2lBbi8QXYWNrNx9tTPo3PlogssOsNoa2ujqalpmEdQH63FxVQeOYrZbsMScfE2KqZZeahdXR+KwILQUKr3YZniMTwAAHSpSURBVFvz5ct/rkuBEBPSsFB7FCyREJEESaMJl1Mj2ifx/u4qFEVGUWQypkczLc2JcZDhakuLh5ykAe8WxWxFMQ+4vAoh8IS82I02AoEu2lx7eK3OCqLXEwqIs9hYmTgfo2KgpvYcv2s8zn2zb6KgpZa88cbGCKYfkiQNWsIMt9XtU3nueO2YVQkgpAluzE0gepCBrUlWCEzQ+2lYhYPaZI6KZOvf/314lxCIUAihahAIgstNo6s7PAFrAq3Xk0nr+97rxSQQ/RN2nzCm9WmwBJB1G1569yMQmsB75jfE+c5jNEeiBVzI9gQib3pmxCYbDBFERi2ivv5FUlI+MWy/SVG4LutGijqreLPkeZamrCfBPrKQYDLI3L56Gmdru3ju/QquX55KpH1yaTKGtE1RRg3ClxBhxSArnK3rYk7qxL2zdD4e6AKLTj+hUIjq6moCgQCJiYnYbCMHN+tpbSV79SqiMjMvyXllexRaZ/MlqWs8gr4eDCY73o7G/m0hVeOFN0upM2osyIxmfnoUcY6RPUGEEIjg2EHihjN1Q0qhhWAiAssN/x5efjn5DJx7BaKnw4JPhzPhXSQzrBKzl2UimY0E/CGqSjvYvauSQEhDSGFRoLClFNs0eKVyH8OuV2hoAiyKke5QEJOkkhSzjA2ZQw0zGz1tnHr0b3EcPoHfCDlaDG/eH0lyXDK7yk+DNDDzS4S1NX2qH0+Dh5smcC3ZPli5aHwrq9qySnYc3UlszIDQ1R704gkUcaBcGVOvKEIhfE0OlJSwkBWh2mn/09tDC/WtXUnhSMkYFCRZQa7v4lxDE5IkIcsSMqD0LmeFv/d+SiAjI8mEY8dIEpJBQpbksIs6IMnh7eHvEmeYibnTTyBQggEFbImIoy+Es4mHVKZPX0FSUlZ/E+PjNlFS8pMx+yknKoOZznR21+yipF2wKu2aUd3256RFMjs5gjc+qCXWaWHtnMlqQSamzc2Ms7Or6MN5nuh8uExKYHniiSd44oknqKysBCA/P58f/OAHbN0adhF1u91897vf5ZVXXqGtrY3MzEy+8Y1vcP/9949a51NPPcUXv/jFYdu9Xm9/JFWdD4ejR4+Sn59PxDhaE03VkC5h8i4pPgPt7AF6ejooKdxD2oylxDrjOXXyLZDAXt9ARtZCTLnL8b75BAT9oIaQYtIwr79r4ka7QlBX+QruaSmcNQj2HnqN6M5ETN4oUhLsLEy20SUJ3jjVQKPLy5a8RBZnxFxw8WEvkaA/QEPBOVJT41Hix54AvcHAVLol3GRNg4nGl5AkWPhZKNsJ516CtmLY8i9TPvdAveEw6hJgMhuYmR/PzPywmbGrqYNTe46xMfQG3b65rM386oSqfLVy/7BtSbZYkv7+5wC0ulopKzjPl5euHTNTcB+vtb4/ofNO1ODW7ndzbVo2zqwLw71fP+6xoqebwOnTmJf1CmSTMM+K2hPFsqzpKIapZTG/kMLCQsrKyoiIiGB61iLmzJkz0M5BRvRCCEpKtlNdfRyTyYzX1w2iHEluZYaqjpt7a7rXT037OX5b5WZL9gqmJY0cBdegyNy2ahoFdV08+34F1y1LIXqUl4MLcbsCvLW9nBu2jJ2Xp6MngGkcA3GdjyeTmnXS0tL46U9/SnZ2+Ef8+9//nltvvZUTJ06Qn5/Pt771LXbu3Mkf//hHMjMz2bZtGw888AApKSnceuvohplOp5OioqIh23Rh5cNn+fLlnD9/nqysLE6UNbAiL3PEt6W6gETZW3uxO4cnpOuL2dJT38jyz9+BMz5mWBnPm79HSAaqq87RnrEBKeAnQmqk59AzLN7wAMf2/IoaswNHyhxmZi5gf91bpJ9+h1B8FoQCKDMWYZq3jlDVebwv/gfICsZ5mzHOXDDqtakhP0UnfkNE3Gzyl21muc/HW7v2sGTuNDJSkzlT0ILQYFl2LMumxwLwyPZi9hS3Eh9h5rMrMthT3MwH5e3YWz1U//p1cuKaSWix4m+qwPrpH4y6dGM1Tl39LQV7kEwTX3bzNNTTtX8vUvY9SGjwwSEkCQL46Xa09L+j9mfz7XOQ6g+Nf8F3wNhUxyyxDhkIBAI0lNXibupCqBq2SDurb7+GVt9KnjpXzKWK4B/njGNmop2ndr3KHcs3E2Uf2+j2UidX1oIhjI6pGYkKTZuY3dEImCwWAj0+rJGXJqZIKBRi4cKFpKSkDNs3+LctSRKzZl0LQDDooaOjnvj4T9PZWcbpM3/Eaolm9uwBY2AhBLVlO+hqKwMgOXMDy5JWEvvGq7xV/Bazs2ezfu2KUbUtuamRzEoKa1siI8xsmDt+fq17PpnLG++Wjbpf1QRHKtvxBlU2zJp8dGadK59JCSw333zzkO8PPfQQTzzxBIcOHSI/P5+DBw9y7733smHDBgC+8pWv8Mtf/pKjR4+OKbBIkkRS0qXyadCZKpIkkZeXR3FxMbsOn6euqRVZDmetVVWBoshIkoQ3KLjt83dgtwx9M/IE/Pzm8H4kCaLq/FhHyfEjGc10/fHXBB/4MqtXXDts/4qNX0NVQyi9QbaEYoDoNLTK4xhy1xI88z6meeswZORhyMhDaCqBD96i8I1HCSzJISXnFuLi8/DUH6e8ahdCkpBlEwnT1uBR4nh9xy4Ug8R1G1bjsIQnBpNJwecfap/wrS2zAPjHl8/w+I4S2nr8LJoWzYq8FURE2ik9/i6WjXeittbj+c3fg8+NO28t9qU34XDG9tcjhEZIDWFQDP1J6SRJwuV1ETlOFFShmJCU8SdOoWk0HzmCq66J9Ov+CslkGWRwKnj/yEkWZ83HqBj7F2wGPqUhn31u3lLvtiMtx/DsPILVYsGgGEialsK0NZlIg95i3y6v5m8XX1rbmbmZi8lNm8ez+1/nhsXXEuMYS2iZuMQykZgyWiiEPFVBU1OnLrBYTfh7/BctsBw4cIBQKERXV9eIwspINLu6OVBexQ1zcklICL+URkdnEx2dTXNzMSdO/I74qFQ6msqRJJnE1FWkLx8I/Hj+D08x65P3kGexUNvcynPbdrJ5wVziEkcWHhRF5tZV0zhV08k/bC/krlmJFLa4UeSRIu2EaTAKHjtdQ1Gnh8WxEayPj6C63dO7RAgL06OIsk39BUHnymbKen1VVXn++efp6elh5cqwi+iaNWt47bXXuO+++0hJSWHXrl0UFxfz2GOPjVmX2+0mIyMDVVVZsGABP/7xj1m4cOGYx/j9/v5swRCOFaIzdaraeihpcmMzKVisCeTMt3P7wtRJhZFv93gQwNdXbWRv2WG6jm/DUleNdf3NKIkZ+Ha/TKiuEiEg4We/p7n22Kh1KYMigkpCYLn2S/hP7UG01WK9/e+GlJVkBfPKm3E3N7Jg9RcpPfk09aXv8liVwrc33UNuQjg66uniQlpb67jpmvXDrstkVOh2j7x089DtI0/EorcOJS4F6yf+geDpXZwXpbRte4Jli2+h6PxeQgrIUTbOHXkeWZZRhdovGJgNZnoCPUSYIzApJrr93TgtTrbO20rQF6DmUAnBzh6SZ/QKbn4/aCqSNSwIhspKCFZW4/XAieMSCz45nZl3jJxTyR4didWaSKRtuFZsXGKLycycRVzEyO68AJsz0vjf42f5dN5MEsZJGDgZDAYjn157C7/e8QafWr0Zp200oWXi43Qiy0JqKIRsnOLjUWhTCw8MmG0W/J7R44l0dtbS3lEbTiOgqWha36eGqgbRhIbQNGrrKpidk0xkpEqEc/T70eZ2s6e4HL+mEmmzs35WFi8cPYFiMBBSQ8xKTibWZmHnyRosrSoblsUzd4SXDADZaOrv27SEOO6+diPvHjiCo7KKNcuHRrr2BAI8XdeGS4BJlvjm6uk0tnj41KLU8YVJIdje6uJsVQdmg8LGnIRJPad0Pr5M+hd55swZVq5cic/nw+Fw8PLLL/d7kzz++ON8+ctfJi0tDYPBgCzLPPnkk6wZJZEWwOzZs3nqqaeYO3cuLpeLxx57jNWrV3Pq1Clmzhw5hTnAww8/zI9+9KPJNl9nEEIIylrcVLV5iLKZ2JyXiDeg4g+pLJo2dkjtP586TEFjKxFWAwn2GCLMRhRZUNneya6yAmwRUexr2suttz+Ed9uzqJ2tCL8P533fG6hkDIFlJMzzRw4a1UeCL4bje/dhiZuPGt9IVbfMA386STIfEPCGWJth55ufGjm6rcmkEAxObl1h8CNSjknGvOFTGI/8N7es+hLF5/ez9prPY7GOv5zT7e0mqAWJscfw+/2/Z/u57XDew8abtmKw5uPbswvvjvf67YZESEWSQSgydSIbyQIb/zENeQy7hxBBTPLU3jwjaxqp+6CY9ojhy3uD2So0Dpw/S3zCgDFlwNfNUQqxDwroJxBYAyW8XXCmf+lpNEqL3FyTtJRZkpM9e5pAbh7I6MyAXsVX457StY2Kqk5IszUSIqgiQuOXGwmz3YKrpROAUChAMOgJu+0GQyBrnDmzndzc9ciyAUUxIEnhT0UxIssKimJEkhTm57ajhXooLn0Xd2MlZoMBhApCJej3U1pRwntBB3PSpnP9vDysg2zSPr1iQLg4WFFNdUcXX9y8kfcKUtje0MWsU++RmpNFxpzpQ9oumYxoHg9yb7weSZK4fvUyKmvree6d99m4dCGny6vwuN0YJAmDgFw0bt4YXkhMyRjQ2HZ2uYiKHFm43tHmYmW0g+vidS+gvzQmLbDk5ORw8uRJOjs7efHFF7n33nvZvXs3eXl5PP744xw6dIjXXnuNjIwM9uzZwwMPPEBycjKbN4+cM2bFihWsWLGi//vq1atZtGgR//3f/83jjz8+ajsefPBB/u7vBt60XS4X6ekfglvsx5DGLh8lzd2o2sDk0LfmnxXvYFPuwPqx1aRgNY1v8Hfj7PnsLn2Nf9pyB+3eLrp8PkIarJk+iyirDbLz2Hf4cSSjCduNnx+llkv7VuTARv6KNXxqx1nMcgJzG2q5LSUSf2OAzFVLyF6TOeqxZrNCIDhJl1WhogX9yMaBB62EhMlsY87C8aOz9hExSKj53MrP0drdSnVnEQZr+MFvWbdhxOO2/8dRFt/mJGbm+PlaggEV8ziB30bD4rSTuHAFccljGzsC5Fzw3e9149zpZvGwaLUjv6VfyMsdbzNnxYZxyx1+tZxDr7wfjtR6AQOjTNBc0T6h86ruDhTz1AQWSRJIlqkZzZpsZgLesOb4yJHniXDGIUsSZ/b/DnOkj/lLv0tc3Pj3oeHYj7AlriLJHoWnvQmPJIOkgCxjMBhZuPYWqk7uxEwrVsPsUetZOX1a/9/X5udSXNfJf3vq+WtXJ/uee5fcVQuoKSgld/Ui1FAIzTi8zzLTUkhPSWLfwaMsn51FROzAcmlpRTXPbdvN5jmzaDFaKDlfQEVbJ0JofPMTw/2+9nd0k2Yx4bxERsk6Hy8mLbCYTKZ+o9slS5Zw5MgRHnvsMR599FG+973v8fLLL3PjjeG32Hnz5nHy5El+9rOfjSqwXIgsyyxdupSSkpIxy5nNZszmiVmX/6WiaYJt55tIibKwckYsBkUeMbz+VPjNkX18d9NmFFkh3h5D/AVa56C/G8UwtuF0h99HeVMVFkUiITIRg/Ei76cAm0nhtRsWoKoqijIQSK3irYoxVc1mo0IwMDmBZebS6zlzaDvz1w56sF6k8acsyyREJlAjFY9bduXnc6ne3zAhgaWv7im1STGiqVNTGRjNNtTA5Q+ZvuzWiQmI+18+xPnjbwzbPvgXIQBvqB5z6a/Dv5VBUXNH/PsC/L4uqhozMfm8E2t8/3kFaIKazibOHiqmvauGL678DABR1ghKzz9F2emHKDnpJTHhJiz2RHIW3DNiXabILCJnfmrUcwWDAUJBL9lJYy+9X8j2inY+MT2e2bPiUUMhCvefYcaiebz73Fs8E5vK/754kNjPD3/WK7LM+tXD3aWyp08jKzOd94+eIkULctPqZTy/6wB3bR7QpqpCcLrbS70/wMIIGykW3UblL5WL9k0VQuD3+wkGgwSDwWEPRUVR+g0NJ1rfyZMnx4isqjNRXjxeS3aCA4Ms4wtpOHqNZseioqCcw0eKWbwij6bqRlZtWjrsmO3F50hyRpAeNfpEeb74dfJmjO0CunTeZrrbqvCpGueqTjB/8dRC/A+mr60XumE6kmxUvFFOxMxo4nKGt9tskgmFJj5OAc7teYGUnAtsRj7EpXRHoh0xwfO5A91TPo9sMExZYLkcCRMvhshkH3mLJhKxZeo0dRViTSlnQdroS+Fj0bcg83ZBQ/+2lOkrSZkejpTbUneWlvoPqCr/LXXVL5Cafjs5Cz9zQS1jDwyj0cRdq27nlUOvcbTMwJ3LbhizfF2Hhx1lbURbjVR2hgUxxWAgf31Y4HklLZeOQAAlOUjL4VPEL5s/4euVJIlr5uehulz4Kyv5lTtEXJsLQVgmlIG5EVYWOkc24tf5y2FSAsv3vvc9tm7dSnp6Ot3d3Tz77LPs2rWLd955B6fTyfr16/nOd76D1WolIyOD3bt38/TTT/Nf//Vf/XV8/vOfJzU1lYcffhiAH/3oR6xYsYKZM2ficrl4/PHHOXnyJP/zP/9zaa/0L5BPLEqjqduHLEkcrWzHqMiszh7ZcNLr9vDKn3eQkRZHfISF6vNlCMXI9hd3EFRBVmQ0NHbX7mXBjBw+dVP4za69toyGouP0dIdV7QKBJCTc1UfIuyEfoqaNeD4Auz0Guz1sF3Gqo27Y/r//4HdkOdMwOtoxvvLLca+3oamCW9k64r74RYnEL4L6fXV0yhB1gVbCYJAJjZHYbiRsikpKVv6kjhmPyQj3+4qaqe1wU3awZpiGABgyZzW2Tj2Pi6wY0EJTNMq4whCT6N+pElB9GJXLo/2VJImEtLkkpM1l9qIv0FJ3hvi08Mtdl7+H9+uPEWuy4QwGiR2nrs7uVoo8fuxGjW9v+zMrYmO4bcEGDIMM3g+eKKO82485MorPjmEQO79HcLS4kf+0nCCzS+ULC3JRRliCFIEAnqNHw8EX++uSkIwGlMhI5IgIXr1hLXbTxeUd0rk6mZTA0tTUxOc+9zkaGhqIjIxk3rx5vPPOO2zZElbHPvvsszz44IN85jOfob29nYyMDB566CG+9rWBhGzV1dVDBn1nZydf+cpXaGxsJDIykoULF7Jnzx6WLftwkuFdzciyRHKklfP1LmRJYvn04UaTQggqS2pRPT2oIY3Cwlru+8YngfDk2dHYSmzKgBHl1tAGKiqOs/+Fx5GRscYnEZWZTX7WJ4fW6/0s7j//HOPMib1p+dzNg3KfhFljMHB77hbIndj17jz87rhlUtakUvF62TCBZSqagKB5eH+qwWr2FD8x6jHFzX6CxqHG5OVdJcxMsiGCrTjefJvAtERmibW0vfMSpukzME4f2gGuYICfdWncOmcx99y3YEJtfdx/kpf2PAWAxoDR6lhISAgEakU16xaMbKz8cUPTLv/ylD/kxSBd/glXMRhIyliIN6SyveoIiAA3TltOV8DPoRYXC8Y5Pioijn+4Jvy7DYWClFSfYfuZPZTVV+FQBfOSo0koOMasrLXEzh85TQeEnxPXzXYTE3qc5Uk3YDSkjSiseE+dItTRgX3lSuQxlvP1BR+d0ZiUwPKb3/xmzP1JSUn87ne/G7PMrl27hnx/5JFHeOSRRybTDJ1J0tTtY2NOAkIItFCIrnYX508W09HhRpIgY1oCis3K3PlZzJw7MJnKsjxEWIHw8kDWzGVkzRxboHS/9EusG2+bcBuXr/urYduUQ2O7w1+Ir9PD+V0ner+NqHMAoKupk/ptHaDI/aUEUN3QyUu7OvC3+YhwjJ6Urw9DgyBq+3tDtsUGzOSvGj2ys+p9lY3zh07+/7H7Tb4y70Zauys5Y7OjhMC4v5HQwtW0vfsLZn3x60PKS91tfPbUAUq9zTx3tAGL0ciGnJlEWkafBOJtKdyx9OZR949Fq+0oYpIeVIMRFxHVbTwvoskS8EicPzzyc6ypvY3g9FkoJjP0x6YR/eKd1N8eqd+EpTdOLAAhFGwGM+2us9SHjJzxWYmhlRijjEEyYFBMyJISPl5SkPr/lvEQQQgDSFJv/h9o8g1fxnuxfC+KLCOEhk8NYpKNyKhsTJxJlD3svh9vNWMfJzLthaidTZhO7SdHMRKlLeTR/4niC9tz8E1bSccH76KqGgjRH4FXCEHTiXKkgI/ComeISVBZFrmMaHsa8YtuG1a/e+8+TOlpWOdPfKlIR+dC9FxCVzkiEEA6doR3ztrCoSFkmQiHhbxFs4mOi7os53Q/818o8SkYpl3oM3J5CThl8lZMwIhww8ib+zLbHNhxnFWbxvfEgOFlzh+f/Bu8wzhgsXymyEsaTm764r/w5wf+k5QVt+I/9B5zVwwYMkqygtMoccfCeQC4/QHeLyohMGjZRvQmvUuJimTV9IGkhFNBNhoJenumfPzoYcAu77EjIXzR5C0bvmy4/VwBx4/v4tY5S5idNn6uoQvRNI3/rKzn/sRoQnHz8GgS3SE/zxSfZprFwnRHNOl2J2H9loqqBgAVhEATKm+21rE4Iac3WF/YbqPLPJ9XK/fT6QmS1N5KTto0FEnhtszRsyNPFuF303TodbrbWolImU7i8hs5teM0Tf56Ovc/jSFxGVEL11Lzwy/jjVuOMWMOQY8fJIjPSULYbCza+LdETEsg0NWEKXJ4xFrPkSOYpqVjyri4caijowssVzGBykp8xcWs/+S1SCO4G14Kzj38EIYIB4rd0ZuMDuwtBUhxNlzv/gKp9+1TbWwkOjKakd0rJAy5KzHmXNwy4MW8yX8YHCs5iN0y1J3qv3eU8E5DIx2Ru9EwEUhZi9TSQvGx/fgXLWRndirzy97F11bF0hu/1HuU1N+vAA6ziVvmjWxLU9raxgsnTlNZWw9LF0+p3UFFob6imp6ouHAuJS38ti31fiIEQlXp6vSiCBCaQGha/78zDRUUHt/Rn0lYiHAWYoHAEOxhtrFxSCqA8B/hv5rqu9ixXRCyRiDLMpIko6FiMpjCSf1kGYOioBhkFKOMIisosowshf+WZan3M1yux+sf8Rq35OfS2dLMng8OMTvtzkn3kSzLGGUDDpMdsFNW18DOhoN84EtgUXwMcxPySLCNbqReEjjAlqSheYs29n4/39xKd0SArvZjVHeZebHjVG+JXgPzwiaSZ+UiAFdxB4WzIrB4HSi7tqFpgsb6epZOGxpw78/lRlZn2nirpIk10wVbb/kb7rpLZc/RKnwdecxbVssXv/9pfr7kISLmlJHxz7/E+38/JCjJyFvv5MDuk5SX1VFabuLZl7P51j3buW5ONNJCM94zFajtbhAC2SphTHboworOJUEXWK5CNE2wu7gF0679SJGR8MKAbYe92k36tAsCLl3orjkONQVncMyIRwDO+QtIv+FC+4b7hh1T8Mffk3LbvaPW6X35EUIFB4c0JBAMwAqobWzEGeHAbDJiVIxU1ddz+ORZPEEPBmHks7ffRENbMwGvir/HSzAYQlVDaKqGFtJQVRVNVRFCYJAVFMWAQTFgtJiobdmPz9+Gz9fG0qVfH7V9E2Ws7qturebahQMeKt989gSeQIio6k6mzZtPV4fEkuQYUiOcNJzoJOo6M1mnzqMUncU+axY7fvIP9HR1s3HTBoLWieVKyY6LJTsuln2tDVN2aXfFxlETHY1TMSAZJJBlhCQhZCkcgl6WEcALtTX83fIZ4SzBioIkhwWKTMMyZEVGkkCWJCQkFElCkiUKd/yROVu+0tt3vcsw/akBJOZm13Cu6n2WzLmWkKaiaYKfH/85X839KqqqoWohQqpKMKiihjRUTUXVwp/BUDgCrCbC3zVNUCUKgPUjXmfJB/sJhoLsOJ7FpkWTc/cFKOvo4j3VR1OPhwS7jXuSMsmt38vm5PWYzWNHGN5bHyDT2kp+XAxGZag9ld1k5NXyGj6RtYpvzB9uSnvedYK8JWGt0GFXkG8syQQyqaht5Hcvv8PNmzeQnTs0yFumepL1Gxawve4Qj/57Dt/+Vjmb1zlY+/n3efORuzh3Jg6RXcWBlvn8+oercD5by88euQvv2Z007T7KxuvXYLJaKCyEN19vZ97WLXzuG160rh4cchzPHgz3n/tAObZFE9FW6uiMjy6wXEWEVI2Chm5qOzysmxWPffZQV0chBEd3VBKzefooNUwM19uxZG5dhrurFoTMucO/RNNCzJr/OczW0R7MY0+U1tu/NWzbiX97hP1PPIcsyQhZIyragSpU7HYLN16zjsaGNo6fLeDld3dQW9FKbK1Mra0CxaAgK4bwm7Yi979dI8loQsWr+sOTnD9ATdVhojLDb3+hQJDKU6V4a9ouondGv87VuRs4VLgjHFgMuC1PwtZZSHzXy2j75mGPd2Iob0bJiKQz00lPi8byJTns9QaJinQw/bp0at4/gnHVTWgnyyfXLCGmLLBYTSaiU1PImjn6xNPg9qNGuohNHj18/4h1R8TR3dZCdPxwm6Gaug8oqdrFhuV/h6wYMPQ+riLtEUQ6xskormmUHd6GJ+QlIiaBrLzwgl/VCFmi+0ibk4qYPg23zcOrlfv7bVQGy/Ka0FCR8IaCOAzG/jgtNoOJrKYWcmasYU5CPEkRdiCTxMR8jp/4FcuX/c2Y7b1NNBMK+Hn+fDGqEBys3877pHFztMTC+OlIkR6eKC7mkfiVIxw9cE872gZiv0xPS+KfvvZZnnx1F0tzR/7N11QpfHBYw+PKpOScBtyLEBKhUICS8mxK7t6A93wyEV011Pz3D/nX4//Gm3sWc889UFcHDXUBcmY7ePBBUOxWPJqV08XwhS/Ak4/6MWUmjHheHZ2poAssH3OOVbbj8oVAAoMsMTMhgrlpI4es9gdCyKapxcVoanZTUtqO1xukoaaNp598E6PYz4LYFqa1WCg5fBz/P+RTWlPEXRu/jCzLdJQU0XDwAJIso7ZNLMLoYNZkLibn7tHD8Wdn2cjOGohuXPpuFVkrJqd6Tp/5d5QeL0IIwb5XdrJ4wzJMnZcn3kNCVCKbFtxywdZbqHfmkbJgFao7QPvzxTjnxyPvLCduZhQNPhmbPRl3Qxt/OvYmMyxxKMYpxEWRpCkHDLQYDQSDY5/viePV/Ov60VNpjIYw2ZENIy9XllTu5JrV3x223Wa08avTv+r/HmuKZmaTjKetqT/SraaGsCQkk5G9EFdLPW9+60tw0wbUUHBYfe1NRdQWH2JVaiIt5UeZt+5e7M7JTbTuQA+OxrdIj3TS0NnAc4ffQO5tS3t3B20FT8Agg90L6QpK3JOeypLe4bxJsvJFWwsvvPACh1LOo6TP5YOAk+df2sEt163GbB85KGNUnJUD75SycF0GqghSVtOMwyDY+fqr1LZ7qG51o2oyLzx7M/cVBAkG5iNEWCwzKBLBkAwIRMBEW5PEf/1gDlGWLtI3zefcjBW0nY/iuReCzJplZN2iJv7+hwnUNUiEQuEV4czMgbaonT6MiZcur5SOji6wfEzp6AlwsLyNQ+Vt/Mutc8Yt33B2D5XHdpElL8J/rIl+VwShAQI0kOwWTPMWjXj8tveOUePuwWSWiUiIwNrpxtpkxdzaxftNiwglL6Zg/7O0ChfdvypgtWMhlsgocj/3BSRJouWJX1zaDgC851qx5MQMyho8eRsWc6SN/I1D1f8ddF1Eqybfhv5gdw4TEevT8ZxsZuNtuch915UTNmQc7ONTXHKGNt9AYDEBdHR0EJGYjDSCi3ZjSwv73nkLWZaJ7rBhj7ROuH2+YBA5YaxMyeA0GzBMwTVcCwUxjmBfFVSD+C+oT9M0XO0NfGrGJzFYLGiaxtH3nqF979uk/fUPiUkaLqy2FZ7Hc6aU3GtuYcam4YEJ9736z2hBA0uuv5+ioy9Rfvw4sxbfNGmBxWGyY+mNX3Kw9CC3LboNsyHstTURzdaOc69TtvNsf3l/k5vYpAi+NO8eFIsRBHzdBMmbMjmz9xwn6tzYZ0QSH+kgNhRe7gwcO8J8uvGFvNT8ppjTgULytt7EjCgLy1et56UdR/nHe1fx7LOCxhqNYBA0daCPB2TScFtlWeOOr5bzp1/MYPs2QUzMj8lKCvHAt3yobgWfNx5VBYsSRJUMCCFRVweWXllKcweRM/UpRufSoY+mjyFCCPaXtXLj3GQKGiaWpTp5zjqa29shNh5j8vTw65Ak936G7RKCp07h27kDACUpBWPuQPyPu29fQcEfzpJ+QxbbX9/LXTevw2hazUs/eYSg/wTG1Z/kWGArP9+0kpSki1cDC1UFeeSHfH1xAW3vl2Hz24irnUHkdZkAqL4QvtZukCXk3muSZEAOaxckWQ67X/TaUQDDNA9CCISqEQoEw0KdJtCEAE0LG/Vq4b/D8cfCxqWo4X1CE/hdbjo7q8PfRThWp+gTCgkvKdC/PfzZ1daEqbIJoYUNWJWsIO6Gkt5lnLDhKkIj6NEIuGVUVWVmQiq5110DQGNdHUe3v4XV5iAnawbJ08bWMpXvPEvGxvGF3D4CQY3us42j7vcFQngnm4epF7XTReCVX6NZ7Bhnr8CUvwBJkjAqRiQtRHX1GeqP7g0XFmCNicff04UIhhBCI2f59YTK3CMKKz3Hi6l9/X2cS5YgIVH51gdIkjRkiSfFcD0Np/fRlH+YuJRs1t4zm6C/h+aa08iKEcVgRFZMKAYjimLu/R7+vFAIOeY5T8nhAN6QF5MyEE1kIpqtqJQoslaNfE8Ki1upqXVxvrKTPLUJrxpBpS/IQxsXUNvczitFbeRtf52mg366k6y0NdcQOyOZHE8XudnpSHmzADjd0E3r64f5f/fPwes2E2EN0OMxoqoyFy5lSpLAZJKIt8RgsniYs6SHTt9hTp/NQ3ii6XH3xaAFn2oABIqskRXXQ7PHjquqB1PGFDKD6+iMgS6wfAzZUdDMhimkVJ+/7jZO732NoMlM6swFw/abV6/t/7v0f3dirLWF1/CFAEkiLjeJmPgo7r5v4F3/+vu/zJnfPseGW9fzN1NMrjcSIhRCGiGWRMHenZSfOEpMahoxtnQsuQPB21q7arEXuXsnfvo/++w3EECvoEHfxyDPoq79+0hftBRrCCpeqw27gfcKdJIsg9T3VeqN0in1yn1Sv8u4u6iD1rQSpF6PlgFD0r5JIRx3Iyw0hbebE3IIBAKovk68jUfpVMrIyf8ckiQjy0aQwgarJcWvM3v+p1AMBlIjB1JXxCcmEhkbj9luJyl99MjC/Uxy3BgNEv6AijcY1vsL6J/4BYI2X5AWb5DTle1Y++6ZFu5bTRWoARVZkhC9fSf1+u5KskRVpYn8r/wdkt9D8Mwu3P+3M3zfhSA3CH6plmU3/VV/BuCRaOrsROvpQciG8LFy+Eb5S+vJ//YXUWy2EX8rdXtO46tvJSIqm6iYXEKqDy3kQ1MDBANuNDWIGgqGP9VgryF3EC0URFPDAlrpqQqSF83BbDGgiAgkJGwGGy8cfaHfa62n512SkvryWoW3dTR5sJoGgrFl1EdTva2K0vZSIqcNjadzsiWIPx6MOVBCF1ghNRq+/9QTzEmYS4wSojoYCUugsaAT35abCQmNur1+mj44xZwID8Ezb3JrdC7vPFOM8M7HgMDjN6BqI4+FsIwuc3CfwKQY8bf0UNC0kKKzkb1LSIPHR4hgyIBAoyfoR4TAEG1GidBDwOlcWnSB5QrGF1Sp7/SSEWtHGaRtUGQJhzl860yGyanhM/JXUXPyvREFliGkupEIJ6D09/hJXZSDfQTXxITMZLKWLqP05YMX7Blqrii0WCbm1xJGBEcWWHLXbiR37cYRjzFFW0hbvWASZxlKQWsh0beHhbap6oi63NVkZV0zYWGy8+TrdJx4HW3GamRZkFr47yRGJ+Hc9K/DyppsTiKSh/eiYjCw9ubbqCkp5n+++VW+8h+PYzKPnXhyPFzdZ2loeBGzOYmMaV+hubCDdywK0gVCXp+uanOsE8/eBrzxVuRke69sJiErEjXHWshakThEcOwTJu2aPRxl2OrAtOwmTIM828dehBrAkJRE+7PPEqxVsczP6xdEzTNTMNhHt6FoO1OJJd5J3OJsohMzh+3XNI3jb+0nFJSxRsQw95qlwyIit9e+hSk4Hb87SC4zEF6w2EzMXpCBzRFedjt9Osi83KEG8AXeN8hdNDwezM49B7lm1dCEhqM5o7fm5XLk+A623jBQ93nnXm5alsrRs7uZvcaA23eenmAMlVlpFJZv5/XSfyQlxkOPaqexRQERtlmR5F7xU5MxWgJoQSPBoMahD6IxGs14RCaFhUaEAEUWyJIgqPbZC0m9/aXgCjiQjQZsTj20vs6lRxdYPmJUTdDpCeC0Goe4M1a09lDe4iYr3sHrp+q5bWFq/76Lif55/v0/suKOb4xbLvvWAS1KW0ExYgRjxT4ybx4/kFXRc3sm1sBeVH8A6UNOIX+porhMRvNlzNmCOPgHopbcCggM/ho8Nug48K+YojOx5362v6zfPXb23/SZs1hy421UFxeRPXf0iKITiVfjjJiD0AJ4vbWAxuLkSKbNTxn7oEWpI27WKt3MnTlyZpuCQ6OPq4kS+8Uv0vLEs0TduQxr/sRdaOf99S1Uv3uM9mOVuIs78aohfL1OTgGvDyE05qxfSkxKPB2NbRx4YTtGs4nByyeeth42fOqC1AmdPRQcr8TvC4IQlHhUrNNqSbXaMCgWDLKZgN9DKBTEcIHBsVMzsP/IzwEwaBopSQtpaDlLUJLYLadTrhqIMchENf0fmcHF0BMYcnzBmdN0aoIo13EyU7OIscRSXudmgTOLlBff5IWuHsymCmz+btoNywkEw1F9xaAUS2pQwWHpxmEK8Ptbvs7Xz/wn5aVxmISEbAyiCYnQINuX/Bm1nC1PByTsdjOOiCsr4aXO1YMusHxEBEIab59tINpmIspm5J1zjWzJTSTBaUHTBIUNLrb22qgM9vrxh1RUbXA9E7cdCAUDGE0Wzux+CSRwNVWy9Ka/wmyPGvO4oK+T5rYqjN6GfrsLEKiaSndXPJJkHBTwa5A9CAOrD53FZxFvuQcqFYIerRNJDvZ/F/3HCTw1frpsGZTt3RcW0ER/MYQkRvS16GpqYumwrRPnUsRU7XIHObDj+Kj7E5LjyM4bWLb53N4j3Jy4goZdrzMr0o5ot9FR1sM7lQ5+8JnpQ/LBWCLG914KBgNjCisAgc6xBZ8+IiMXERk5shH2pcKZnTaCMDugmTNFWJh+w/CAgmpDJVpP2Djaf3wvkk9BaqnAt6uiv4xkd2BeunzYsYNJ27QQdd0c2otdGCq6iIkwkX7N8GW16KRY1tx13bDtu54pRNO0IZoXZ5SdxevCQsyLe6tYPudGuoPN7HW3EdSC9IQ8nPXZmBNS8bS09F+rJMG8TiNZ6/8aJIl9P32E0+5XmL32WgyahlOxMENOxa9V47F8kdvWLeKVp5/ijd//ltikJAJeL9fm5bJgzWr+dD6BBXNnI4Tgk+Un+VwdTL/jn0n3uXnv1CySzHXMSG2g3ptITEo7raUJ+LwymqYgKYKgLURsdBH4ZR7+zgf820+zafOnQZdGdXM4AJ4iaahC5nxlGjabRmKSkdLSMbtbR+ei0AWWj4DTtZ2Ut/RwXX4SVpNCSVM3M+IcxDnM7CluIahqrM8Jq/5jHSaOV3XiMBto6PJR2+Hhuvyk/rqMk8gZYjCaWHLLQCLKM3te4rfvP4JTquczN/161OPMjhKmpSxGiUgDwgG/QKKo6BVmz1+JyRRWfQ/NutJLn23roqxhEsHrx9/khiW3DgQKG2TzIRDIsqF3e9gwts9NdDQNxos8NZFuuKzEGxPJ2TT6JH9gx/EhAstL164F1vLTD07y7RY/8aUSX18lsS49wNzcFUOO7W71c/i1XWOaoNQWV3LQfmL0AgA9nolcyodC6rp5Y+4fTTPnfvFXmBeHXd7NC1bhuGt4n1f83+u0dFcM2z4Y7Xw7ik8jKi0Cg91I6rrJheW3R5tHTZy5/Xg9y3LjSI+zwwW5kx09DTy24wifS7EPLLEJQfSMgfNHT5vOmk8PxCf6OlBY0cFDpzsxaTI/27aXebYImtvbcMYlkLfhWhRZptsbjjME4d+KM72aV9oVvhph5/5/tlL1/wK01xtZk2+kqbOZ/3iwmISIOhrTskFSKDzUSFtHJ6nBSuqZzdyW90ha08a5V9MIuqwE1PAzx+nUiI+H0lJ9GtH5cNBH2odMSNU4X+/i7qXp/ROvyxfCF1LZdr6J1dmxRFgG1MQJERbWzYqjqs1DWrSVBelRl6Qd55rL+FbFa8xWOogTnbS3lxITkz1iWS3kxhaVimQesCrw+z14fU1ERI4c82U4ww3wDAYTVstELRXG59JmnZkafv/UFpa+u3wB4t2nuO7uhczLmAFICOEjGJKQRDhZnjNxFvkrRo7S2sfiG0aPW9NHzXvVk25fUPXS09WJqobD62uqQA0GCYX8hILBfgPVUCiAGgqhhoIILYTQoK6wlUXXpaMok3/ceGrOUf6LV7GkZ/WmfugViqdJRK68fvT2hlRcST6WXTNOkMRrpvPnbWXcdW3WpNs2Fv6QRpvL3yusDOfGucnY/MeIX7h2+E41RFXB2zREnKf6yaMIITClzmPzDXdjrXLz1OaFYJF5/g+vsnbTVrxmA28fOEntB6eJj45CE4Iyz4Aa9n+X3MA1e17leHQ0WwJOvvnEAbbOugGroc+1PROAvsQBuelRdLf7qC9NxVRdRmJONo/nVfHZEg8EnMzNk+jpgaee+nCXbHV0dIHlMvM/O0tZPyueOanhib3DE8RiVHi/sJlNueH4GoszRs8xAmAzGchNvrQugvkJWfxnxs3ET8tFNhhxRozhXaL6kYxDH7yhUJBQyDtMHT4ZGtpLKK94P5xbRurNMwOEjf9CCDWI0IIcrXyPWWmrkAxWJARS36QlRPg7AklAl3uS0V8vA+YREiarLj+yw4QkS1htlmFLRge695GRmkx2jJ8W7RQ7yk/St+zW2eHBXp/O9JRoIuNikUdx9R5gfLFtKgHkAvb3aWrIDzvgyBKSLGjveI/EhLsx240oBjOKIQKDwRT+ZzQjK2aEEPR0PMmhl3YS8vtZdts1WB0TD8xnWJ5NxrJ7UcxDj2k78/iYx53a9SJzV26Z0Dkm2h1/er6AiMjwDW4LhDjm6mFjQiSNh2qGlAv29FB76jzzsu3sf6tk9AqLz9BmjaGnuRbV4wK0sEEyEu83lPHJe/4fkRFhL7jH/u8tfNvKaStuJ1cNB4p0Rqewu6wGfzDEfbdsHGKYX3hqQCi1KEYObLyTP1ef4amuTv4h69pBwsrIRMRYyFmWTs6yH/Zv27NpYv2ko3O50AWWy8wNc5M5XdtJk8vHptxEDpS1cuuClClHHR3O1E1FZy7dQkXpEQpq3mNRlZHIqJjhhQT4e6p63XgHsNsjKTMu4f92nSA74Oc6yxgPwD6V95BrllgRiMRiigjHTKHX40QCSYAkG0AxIclG7k5fg+x397rUSgipN5cNEkKSQAKBTOSpCorf3E3Q7yNlXj7R2ZPPunup6dpWidYdxJwViW1BAgtX5g0r03KoBY/Xy6fWfXXYvuqGepoiWsnPG7p0ogUCBMrLMaalE6yrRYmOxhAXN2LQOIDGmkIaqo9isUYhrEEaTp+b1HUkpi4lJmuohZBacZbkaWPHcwn4XDjjo8hbvoWgP8ixt/ciVI2opHhmr5o34u8g4PPRWF5LY0kNWNzDhJUw2gjbwpSVFJIQn4DZPvaLAPQGdRu3VG+73AFmzosjMT2SKJuJZW1u/nSugfxIK5/MSewX3He+9Bq3/O1t4wbSq2ypBkkiZdEGDM74Ib+PTFXlpbd/zZ03fY1Xzx9i2oJIbsqbwX8b1EFao8ml2Lhr2lxi21zYTZdOq6mj82GiCyyXmUCglfM1xTgtsOOsICvewDsnSobYZUgSKFI4zocsyeEJXOpNEDeonCyFY3hIQhDymBAGC/WtLk6U1jJ/RsqkNR02u5PItFnMinQyI3Py5qqfzMrjhs4q4rKmlu7et6sNS+oEz+sYnrb+QtJScjFtXI+3w8Xp594guii1Px/MYCRfPUZbz7DjPeXncD/XF+U2HMRtpNfvzg43fkvS0I2ShBCCtuogg5PrOTdNQ/OGUBxDl8RqWuo5WHQMg6wQUkNMix1ZuNKCEAqMMDkHg9Q98giW7GycK1fi3rePiPXrMWePvKyHUEmbvpz4lMmHz78YfJ5OTL0Zqo1mIytuCwe7ayit44NXdw4RWDRNQ5IkDEYTselJLL5pPecO/GGUmkcWM/zBEK6ygyy8/osTap/XE8Rb5aJ0W+W49S+Pc+A0GjjxSjGrb5tFbqyDf1k3k4I2N9/bVczm+EisJQ04HI5RhRUtFKL77bcJVFcTOH+OmM9/aZjQpmkauw+c4FRJLU2HXuWlktfY8bnfTOh6+ijx+PldQX1vZuxwvEOfqrEgLQrlkr0s6eh8uOgCy2XGKR3jwZvvAMIPIiHC3jUCgSY0hNb72et10xchVRMCIVRUTVBbcoDO1loEvfYDmiAhbSXFhQV8askK9p2vJjMxhugJeJFciBCgBTvw9Yd5712UEX0RWmHgbVbrd4kVaGCBrsYyTPahbp0jn2e4JsigXipH4l56n8PWaCfLv/bpUYsFdr2CacOnhm3PHB4WY0Ra33qSrBuGZ6QG6Hj90NAmKfIwYQWgqLacLfPWEe0c2wbIYJKRTcMnGNlux33dJrrOnMVbVkLJGy8zv7KSlB//eMR6ZMVIKBgYcd/lxO91YbYOv8bk7FSSs0d2g+5jLPdrf/s5Os7/mui8Lw/ZfnrXSyxYe9u47frNH0+SmuAgENK45e5cIiMmHrem+FQT5WWdBL1BAt4QXk+QLV7BtA8q8XaWIvtr2VW+k1X3PogBCd/583iOHkMEAyDJODZuJPLmm3E99VsAqhvbKCqpxNPZAUAgEGTlysUsWvo9Kjua+fKSgWzofYEcx9PQ/mTxdAKqhoyENxjiSEUHcQ4ra2LGThqpo3MlowsslxmTOYFgsAujMbJfA6KM49nj7qyj7PQ2JCmcNTU+eSZLlt0+rJynuY35WSkU1rZgt0wtqmRIFXR3n6G1rXWQd0/v22E4fGvvnwPLNiDR7O/heHsTdDnQjhRwXXrSuBqeC0Pg90idXNr3/Qm+OU4gDslU0TSBq80V7iWZ/ii1EhKSDHKvtqyjpwVPoBuTT0ZSlF4NmhzWqNGreev91IICVdUIBFW6PMGwrY8miFt9I8ebWum0OIj9m+8SyJ5LZXVXeL8YEG4R0NPlI8Y5tfD5I1+niibGj6Hic7uoOreHjqaySZ9D1QIYjCM/olLW/4q2M48N2VZUVEBaUiLGCSwFmRwm3N4gd946vrB9IbOWpqCpGvbUCMwWA2/sKGP2zBiaCw5wMq0ENVTBxoJGDt72DonzV5Kw/lpiPvdZZFv4hcLf7aJq724OnjzN2bj3iY9xsjh3BtGxi4YJIvOTM4edfyLLyU6TgYYuL2frXNjNCjfPTR5i46Kj83FEF1guMzHRq2lr24XZnEhExHD7hQtxtddQdORVFm95YFwBoMfrZecbr7FwwUpe3D/UJqGwrp2o+GSMBmVUK5fK+hZyonpYn7+WtNThsS7GorSpDDmijrpAHZU+AzdnJ5LgmHhm1lAoRMkj99NS/ieQDMTPXDKp8/dUGDFOywh7qIRUhCoQjgQ81fVooRCBVg++1t7lHWlo1BZj/QlSNg4XAC8FM5dkU32mol9oAPq1ZgjwHjxE/LwFzNacVPl3Uim0Xo2ahqezhXOWNiIzZ4W1aQiEBimubLYf3M/x6jbWTV8SnrCksPATt/S23rD3Es1t3v40Af2fvUuKLllBk7xMIHD/hGhufpOoCcRomTZ7NdNmr57SOdp7Gnnj3CPIzSfJT1gwvIAQiFAATYT7or3sCPVZ11NU1IwAzAaZ5dNjh0zUu/ZUEgiqxFiNpCZOzpbD5wvy1Avn+Kt75vHq28VYDAqKUeZUeTsHzlWzPsHM3XOXU7C7C2N+JjF5KajWCGobaml86Xn6oj+bLFbic2bj3HwLt9x0zST7ZHwhsaMnwAcVbaRF29iSN/5Sqo7OxwVdYLnMSJJEXNxGPJ5KWlt3AhAZuQCjcehbYGdLGeWn38Notk1IWAG47rY72P3WG8xMjWNW2tCQ7S/sOc2NK7KwmoaHyK5p7uC1D4rJjTdx4zwnmuab9HWtTcxibWIWZ/x/JnfJPAyGyYWCDwSClKz6d3JW5HNmz0vEr7tzUsc3lf0fsjcFg9mEYjOBIoEiYWjtQTIYsKXGkLg0Z8S30cZ3Rw/sdrHEpMYTkzp6EoLSupNk3zayzU9T0Uky/Z3MnrdhxP0VB3axZuXkDYlrWysxefz0+C/dkpCm+bDZJmf0OVncGmSl30N5ZzH17hosphgiTU7afC3MMMRQ3PAqlqbDJFs+AUC128KdM+P7BZQef4idhc3gCzFNUjhT04nPG+Qzd88d67SjYrEY6fGF+PEvD/M398wjLjasMbl+c9gl+sWX3yVuxXWsXTFcGG5vLqKufAeKbCZAN3XeI9BVxPsnu0fRmAiiW0qRDJkYTx2nK3YJGEworYJ3X2oatY1dRhtJOTO4Lj/pEhr26+hcGegCy4eEzZaJzZaJEBou10kCweM47LOQJIWDLz+NxRrF8lu+Mq6gUrX9KCI0YIQZ1WPh/K5woLDurm7iE+MJBAK0VjQjr8gfsY7y+haykqO5fsksqqsPEPB5cXe1hg165XBgOFkKL1VIkoIsh+OAhP8NfQjOmL6ZkyefYvHir07qAdnj82O1mJAVeUoPVjnJQ+bWsaOYjkZ1azqB7TsY1cOqrzmj7G5sUnojV0ye1oIOTNuOYLCYMFiMGGxmLIlxWOOcBN3dKFGja6n8U4hi7/eF2HfySWZl3kRu2sIptno4quZHUcZ2jb1YPCEv0eYIViffBUB9dy2Hq19DQ+GcKZqM9G9gMpnIzg7beKhFRUO0KXazgc15iQR9IUoO12Pu8JMWZ0MEVSTj+DFEzhU0U13bjccbpCsQIinSytzp0dhtxn5hZTBeIXPopef6v2uqihAaqbPzEcY6MmbdjDMmvX+/Jf7nzJh+66jndx1/BOeiT9Bx8hjTU8B6zY2sHKO9/rIyunv8xM2aTNYuHZ2PD7rA8iEjSXJ/uPOGxlfQVB9r7/w7Dr/yAp2N9eEMvYqCLMvIigHJoCArBmRZRjEoCL9Kxo3LRnYHdfkIoWJxWGmSqmEUo9ZzdZ08cGN4CUjzp9JWWY0UqAwvq/TZP2ha2PBX6zW+FSJsaIvgtR4T+Vlh/xuBIOicTeHZwr4rBKC8xMO1EQPanQu9ddzuIKaksBt1qKeN80d3IssGgr4eQp5OVMnAkk2T07pMmIhYpm1ZMX65UWh8ddeUj1UXLiNmbhYhrx/VGyDg8dN9pBBft4+WThdRm0bx8gEy3DIfvFdGyowY0meMb6cB0NLQTVTFamyOAhzZU7/mC9E0P7I8eSPvydAT9BNrHhDgUiLSuC3/AVp93ZxsPMSJssPE2ZOY2dtlcXFxFBUVIcsDQrDNZiM2Npa8ddPIWzcNLaDir+5GBFQUpxlT6sjLQn944RzNXV7mz4jlE7fMnlB7DRY7K24YGvtFVX2c3/8G9VU7WH3LYlyus7S17QYEfl/9sDpUbyv+lpOgBdH8nQDYV68DW9y45w9UVRN3zciJQXV0rgZ0geUjJCpyKZXHz+OpO0ZEbByNpcUIoaGpGpqmoWkqQg3/C3/XMPvNSO8cAUBTNabfNDAJmZyW/niygl6jzws4VFjDrOQBr41QQCJt5mxSp0/8rezs8VpuzRx7aeK5YC0rFo1epqKqk9YuPwCLtn4Jd1cLmqphUiQsUUmc/mAHrqYqnInDM0QDeHomlg/ncnAxySeNNiOO5BHi3QBaRdmIWp3iilOU1xRgKG5i+bfWUXSqkUPvlfd6XEtExNuYkRuL5QID1arSNmpKO0lPqSIhbnI2QuMhhNqfOuFy4VH9pBuGJ02Ms0RQXGaiqj6dL95yU//22NhYYmMHymuahtfrpbGxEZfLxcyZM7FYLFiyogAItXrpOdVMs78Dg9EQ1vbJMrJBpqyygSSnGWuU4FRZHRaTgelJsZhGMQLucnv7w+EP5tS+n2N3zGT24nuwO5Mor3gWNdRDbNxGpk//+vBrPvY4xpk3g2TAMS8cl0dta8E0fcG4/SWN0jYdnasFfYR/iGj+EAiQLQbc7W00lFXjiE4iPS+8pt7Z1obd6cRonFhq9sq3D4+6L6Rpw5xm9p2twOvzs2XJwBtjMBDCGX3ph4HVYqTL5SfSOULoV6Cly88rFS0cDIxkP1ONMGRjfudNls9JQ5YGZvG+bEX1suDtJ3/N7FmzWbt4EU77xA1+Lz6G/+WxDfAGvViNw5dZTpzYjTMimpyssGYuZ/5ADBghBM11Lk7vrkZIICSJWYuTqTzVBLLE4vUplO4pIzJjYnFJJkoo1AUIQiE3muYb4oKsaQJN6zMa7v271xVXiLDiL4ipVxNCrzfU4JhDYU1kncdLXvTI3m9f27iWP5+K4Q/vbGPjkkVsnj1rWBlZlrHb7dhsNs6ePYvBMHScG+KsyDFmGg6UkpuRg0T4JUBTNR64Mx8tqNIlCQJCpa6pi+rGNrYsDRvOu90ent9+GLvFRGePjyi7mbuvG67BslijyVk8sOyTnHQbtXV/Ijpq5OVMYYvGkjg0NlGopQlL9MALRWlRFa62LqyywKzIWCIdxKYnj1ifjs7VhC6wfAgIIfCeakGJMoMkofUEqT99hlpfO6ZkK1U1tQghiHBE4PF6UFW1/0E++IVbq68jzjjwALe6oul4ae+gE9E/lwYaQ2xvrcQgSwSCQXa5evDbHayYm8YfzxSEy7g1kiu6SJ2eMKnrmdB07fNx6EgR6TE2Zs+fMcw2xxtQuW/9DLKjxlhWWPLAqLsWLIIbgLP1DXxwcD/5M2YgywqKQUFRDEiKgqIoKAZD/5KabDCEl9Uu0qv5YsSVMc11NFCUgX7at/81zhcdwWqPYOuWz1H5+gcj1CeRmBZJYm9Gby2gcnBbOflr0omKChtCp838FKX7HiFn43en3O6jR/8Xs3lAM6SJJM6dfxVJMiNJJqQ+V3hEv+ARtoUa8FTqSzfw/NEuNixI7xVeRH82bq3PFbvXq6q6A16RvUx3SvQdbZQklkfZef7wcVKiIrnr03fh9XopLCwcFi5A6g3mJ4Rg5syZwwQWCAs1yanJ2KIcmEfIq9AnGlY3tvLqruOoXi8GCY4U1vCVT24iNmrsuCYXDjVVDWBQbFRW/g+SpAASwVAns2b+46CDhgYsNOUupvGvNlG79kv4DQ4SMlPJTInHL8Af0HC1dVH4/kGW5X30kZ11dC4nusDyIaC5g8gOE+bMgaWYWXkb8Ow8jEUxM2vN3Al5BZ154QXy7pyYXceNg/5++d33+eEtW3Fah3ryvH6whq2fHtkwdywGP4RDmoosyQhNwxcIcLC+iTq3B4PRwNp5GZw4fI7svAxM5qHX1+jys9o5Oc+ikdjf2MbK+ARcbjdC01BDKpqq9i+n9f2t9S6rCU0jEHJwaPsZAAKHD5OYPXY0mMbKbuzz8vvjt3S3uzk8ih3LvpajZM4a3d6gpLOV4I6hWoPughqcioPYael0Oqo5WlmIN/QcInUZs7pNxMfEcu7wb5BDAhjb0Fg2Kay+aeB6XNVF1Ox/Dot7OmV1T2HJjUU2KoxsUTy6NKV0xTJ3091jnnui3CDVU1rfzh1rxg7r332yjvUpsUSbBzSOPlVjZ30LSmcba5csAKCiooI5c8auayx8Pt+IwspgFFcXM9pqiVYEGhIbo2y07j9OK9Dc0YIcEz5e0zSEx4yltz4pom1IPREROURE5AzZ1t5+gMbG10hKugWhmBAhL5JxQJA3LFxPzXXXM/fGW7BGjBxo0O/qpqO+CT3ovs7VjC6wXGJ8JR0IbWh+EtlmxDw9En9FF6b0CCRDePJesHEZ3s4eTr5zCHu0E7PTislkwhZhJyophvLDhfg8fUsmgs4aiVO/fJtZt6/AHBeJFhLheBwyyCMEo/MGAvzxnZ1snJ01TFi5GMqDbRxsaKHB102D18s0m4OKqgKSEzeyOCGGjRlp7H/qKWrj4nAGBHt/+hTORTks2roaxRBup9VmGDfXynh8UF1HnNXMvNzJT1aapnGi8gQ9VR3k3D12huPgU9uZszVz0JbR3Xm3v3yCO9Z9YdT9zx95nlVLL4hfsmkR1afKcLV04BBOhObEyFYCrnpcplZmL/4u5869gGqcvJuQc1oOc+75CbJRoePlEkQ1oArMWVHYF05cs9bR64l2KZg3I4WzVc3jllMkCesFY8SiyFyXlkgoaRMVFRVomsasWcOXgyZKSUkJaWnjayZkTCy/8QbiMoemZGitbMTWnU763BkAtLW1U1/aztzlYUvgkweqaaw5H9b+aUGMqg9JVnoDCoY1LGYpmta2d3Eym5DPgxZwowwSWKqrSonM2ziqsALg73IhT3ApWUfn44ousFxi1E4/tkWJqN1+Qi1ehCZQPUHU0g6MiXb85V1YZg14eFij7Cy6YRX+Li8Bt4+AP0BLeQP1hdXIskTehgX9ZasDMUTNNFF/qJCA24fRFF7ecDW6mHHdQppPloOm4sxO4wNXA3aDgU9fsxq7Y+T3romsjGz71Z+JTAxPbH1C2EL7GaY5P8PihChMvUsYp11VzM2ZjiTJ1Bw5wqxly0iaN4+2c2dx2RWUjFTeePxpNn3xEziip555uifo5d3Ct+gWeeTFRvOJ3MnHyj1VcYqC6gLia+pwJo1sADtZOtxdPL/vdW7Iv3ZKx0+bn9X/d1NhLSgJHC97kEjnQnbv/gfy8r6Mp330hH9jIfe68EbfHu6rnlPN+Mu6JiWwfBRcPyeJQ+VthHpfAGLtZuakOsP5hgwGZs68+DjJkiRhn4D9U8gXxOYcXq66sIKFg2xXujs9RAxa5pw+ezN+rxuhQUtBDQZXE7F56QjRl+ZCQwiVKG0BnqZCRGUHIt0F9oF7EyEH6LSMrTvJ3bKWQz/+L1I/MbqbtI7Oxx1dYLnEWOfH4y/vRHGaMM+IQlIGdC3n3F5KfB6sp700BmogcJhOTeWuiOwha9aD5YuGUzX0Gae4LQGmTb8D5/ShBnbNRwrxt3aQsWk+fjzs3fsmVZnTSI+04pV92EdRFNs6/VRvrxr1WpqrC0mdnU3+uqEagWNv70Iu+4BTLg/nu71MS41EajjDB7WnMSUtw326jFSbTF31HvYcPo5z3QZKSt8gLiqBHec6kAxdnCyGl34BTz01sX4913qeOlcpJsVCoreJO5Z9YmIHDqLH28MbR94gMzmTe9bfQ13JScoOvjPmMZ7mDszRY+f70TSNp3f/mb++/j4M46RdmAiJs8Nv/FtnPj1ke8WJwwQLzzMgOvZ+9hqzhsdQ778Lv/eWdx9px5AYTdQtWUyGrm4XLfVNF6RoCNesAt0GeUgEXrk3unDfpyRLA8a1gCug0tzjR+5N8mmUJSwGGcMgGx6jIrN25oCxaX2nlw8q2lkxY7jn0FRJTU2lpqaGjIyRvdH6CPgDGAelvxBCcHb3MTKypw8JMdDd2UNq2sDvMzJmIF9SYnoOhc/uIjpvw6jn6fEk4t1/DmNcVf9tMwdDtKgZtNdWDD+g127N4A6SefeXh+/X0bmK0AWWS4xsUrDMHBojw69pHOrswa7I3Dav7wGWAiznzcp9RKQsxmEaPwhX5/E3RtyesHQ2mqZSeOI1TOYobrz1PiRJQtU0dtQdobuxAIc5mvVJuVgUhX1FzXT7gnRIKpu3DI/70VNfjbumHItBZebi4ekEHOoGkudtILInSM+ROpJMmXz5x8uINHQROy2TB79n4kcPq6z7+j9x9/f+g9+VH2FN4nqWxA5MCgd6Wujqgi98YWyhRQiN508/wry0G7h2xi0AnPQ387uDv8OuDLzxCgSBUIAYs4Mts6/BZA8LGW1Nnbz50g5MUQpKRpDbV92OyRCeeFJnLqD67EF2/eqfybn2LpIzh1+rv7MHa+TY9g3bTu3mzsW3XBJhZSxMyhkk6/peW5o+fynoM2ZFaCCJ3l1i0HbRu10QuUIieO49JO1eYOL5p2bMykJt9/dWJxBS7zkEHGzuxjk9EqNBDhvMMmBAG07yGa6jb58QAmtyHG9VtPYa3mpoGtR2+/iXtaNrTYoau5mfHjW5ThsHq9VKZ1kLPeVtI+5vaWwhPikeVdMwOwZ+oye2f8DM/BwiUof+1ntcHpwxo2tsxjPYlhwxKDNjsSwY+F1aYMyAcQCeMy3Y5uoB43SubnSB5RJQ5wtQ5vGjDnI/EYM+DZLEskg7VmW4zcbmtCW8XHUIBYlPTF87IePbwXh7Oikv2IUQghm5m7E5BrwWFFnm2vSwkWZHTz2vVuxhZmQq3T47W+en0lRXhvD5CJWcASHTKVpBseGtbiFuyTIONh6l9OgRNCmsku/x+rhm6dL+h65JEnRUdFJd3krZeYXcTCN73utkxZKjvPbWUo4Xf46fWCq48TtdpLUZ+MkTPnweme4uCS3dSgIMEVoKC+GnPx0qwGwvfxWvr5bZsbm01FUiyTJu3Ny1+DPYTcM9NF57//vUnZIJhQLUVQtKSz04p0VysLWav7/lc/3CSh8rb78fgLd/9g2Sv/34sPqqtp/EcNMK3j1Uhc2oIEtw18LUIW/Vx+tP4A8GSE26blL3brJIFiOGjNEDy02EwKHtSCYT/md+hOWLD034uMSc0e08gqdq2JyZijTC+J4oQggePTJc2+cLqhyv6qDbH2JBehQx9qkl+RyLuSvm4y/vQok0Y0x1II2TJLD2VDkZs2cME1Yg7NJtGCWKrur1I8YRWRSblWCza+KNB1SXH0PM5Y06rKNzJTApgeWJJ57giSeeoLKyEoD8/Hx+8IMfsHXrVgDcbjff/e53eeWVV2hrayMzM5NvfOMb3H///WPW++KLL/L973+fsrIysrKyeOihh7j99suTnO5S805LF6kWIyujHBgnmA3VE/JzvuUUQS1EQBNEGhSqPB5afR0k2Cam7va4uykv2I7R6CBnwc0YDGO/3UfbU7gt2cL+cy+RGLEESMXqa8DzznnMSxYjyRAqf5OEhf+ANMuAbFIw5B7khuw1aEJgUGQ0VeW9Eycw2Z1MDwo+eadg7+7ZdAeNqKpER0Ekmqrxhz/E4XdHE+qyUXHIyi8PzmP3Ei8V52QsNo3uDiOm8xK+Drix150pFOrGHZCpbRHc+RmF//21j1hLJErVt8lM/gO//tMLhAoNZM/pxJT+Lj8vf4OM6HsIdTRi7CjDmZqEVbaRodkwBTvpaaxkZsWfcW78CTvrorkhOouH/vAIKy0KMyUHaiiEOTkBSZKISsokNmtkb6kej+DkuXq2Lp3BjHgH9Z1enj5Sg9kwMDlnJnySo8ED1BVs79/W5GvnRwuHe9VcTNA5cZH+2MHTh5C2fQ/j9w9f0jwzsbKCKib/9tMSCHLS5UGRJDRNEIHE7uIWYOBazQaFhdOisZoun/ZKthmxzolDdQXwlXSE3zJUDXNWFLJl+FW1Nbcyf/6MSZ/nzO93kveZsQ28JZsFzds6qXqDTR7MM8ZettTRuRqY1DMmLS2Nn/70p2Rnh9/yfv/733Prrbdy4sQJ8vPz+da3vsXOnTv54x//SGZmJtu2beOBBx4gJSWFW28d2Rjs4MGD3H333fz4xz/m9ttv5+WXX+auu+5i3759LF8+tVwxHyarox0c7HTTHAgB4FU1FAm2xkeNeszTpXvZmr4Uk2zCKBuwGmTs4ywnaKpGMKDSWl9FdfXz2G155C66GUWZmGdA07n3kFBYv/DzKL2xXCwxrZg23NZfxinW0VHyOEgSkdNuprTKy/+4qtEIq/dDmiAzOp3CwiJ23voyB/ZtISRAEgpCKPj9CqBw6NhShICyYiMgEQoYaCy24+5U8Hs0hCYRgUZ3UHDiRAi/18+S9QGyZrqRiMHtb+FE3SFaKp5iZ/ED3G4LMivZTkHLM3R45yC9nMjf/PBfsdniaN33e3o8PSjBFGSLA+fclTgSM4l0t7MzMZE/nW1h6bRuZiT6+G7DNFLv/BSFr72IbBBkX/NJEIIjL/4vHXUV7P2rO1j+/Ucw9dozBEMhdqeqqN46ZsTPAyAlysq9y0bKeTwgnAgh+Nv3X+OJw28NKyW1F3H69J8GvvfGCrnw75G+23zlE7rXo2GYNZ+AYwbBn14HG/8fphWbL6q+PpzBTk6dPDxpr6+WiHS2zByU3yj+o510FacJqzNshC1CGr6yTghpGJMdGGLCXnY1p8uJS528sbKmapgjrZgixk5noDitCI9/UnWLgHpR2i0dnY8LkxJYbr755iHfH3roIZ544gkOHTpEfn4+Bw8e5N5772XDhg0AfOUrX+GXv/wlR48eHVVgefTRR9myZQsPPvggAA8++CC7d+/m0Ucf5U9/+tOIx1xJRBgUro0LP2gPd7oxSBIrx0hgB5BssZJhn/zDWZJDeDy1JE7LwOctoL6hlbTUz03obVkL+Umef+OYZaqD0GPJwh/oRjvyMNN8rTRERJPsiOGOvJXIssze4moSjIf59+ZrsZjdxGaE6GiIoL3LjqrKaKLPyFMQUsPClBASLS1hgSwYCD9Y2zpsgERrqxFFguxkB+c+iMbv9zBnTpAkT5A5cx5lXsDDgWJYWFVO3vJ/5+e/cPKdRX+PrTe3Styaexkc9aSu7jhlp/YBGjeu+zJ5s2uIsNpIiEygvuV/MTjszPn054dc9+rPfgeAUGcn3e++S+erryJbLJTOzCUxwk5VZxeqqg4LTDYah+u72Jq1muszh8dj2XkqyLx5U/PkcIUendJxansjIiQwJCSjbP4mWmf7JRNWABb4ajEt2IRkGzuI2jBK37tkbbjUSAYZa04MQghCLV68he0EQyFOF5xh481D8wUJIeju7sbr9dLa1EFdUQdmuxFHlBmz3RCO3qvIyBPQwEoWC1pgYu7rWkDFV9SBedok+11H52PKlG1YVFXl+eefp6enh5UrwyZha9as4bXXXuO+++4jJSWFXbt2UVxczGOPPTZqPQcPHuRb3/rWkG3XXXcdjz766Jjn9/v9+P0DbyIu1+TWfS81IU3wh/o2smxmTrh6xiwb213C+xXd/d/FoP+Tm4+TaHMM2dMnAKRYAW8NeMCCgqeriOK9X8CesmJQWfqPEX4PJmM7htgEtKYuArsCg+qDYFkRGjv6jzhSWEhkRjKRDR3EpOZiiNYo6HmfdjWJ+958kfnOZUiuBj4fbMZsNeN0RuBr78Fq8BMMOQfVPd7ShYTojXwqVBVVUomMLOJf/qWa//jZJmJispg/P4sjzx5FjXGyPqYLZ3EPZTteJFAyG+Pf5o5ac3PzKRYuHAhDn5WUOei0Y08Yhqgoou++m6Mnz/Lzc6XcVVPLlz7/qXGuZTi13V7mJY4mkF6esP6jIYJ+fH/+F5SUWQQTZmJMzUUrOADcNO6xEz8JMJUX/IuMOPxhIEkSxgQbxgQbVuD63Juor6+nrq6u/0VBCEFERARWq5Xr7liDIhvwe0K42rx4K4NhocflRmttGvNcnmPFtD1zkKTvDLxYiJCG2uUP21mrGpo3hAhoiJCGZJSx5sUO8UTU0bmambTAcubMGVauXInP58PhcPDyyy+Tlxf2rnj88cf58pe/TFpaGgZDOBz6k08+yZo1a0atr7GxkcTExCHbEhMTaWxsHLMdDz/8MD/60Y8m2/zLhkGWuCE+ko0xTizjqme/MOqeU+1+YufeNqFzxni9eCp+h339yDZCakMZgfMnsM67E+YN36+JHVg2bOr/vqQ2hdj4GCKXraV914vkb/wCwZO/JGDKJ6OinLbWs+TFL2RnRyTJiYfZX3Irro4ofIHw0s/EZyBBIBB+yAaCEoqksHahhYaSXGIdHgKubkrKK3gpyc3GadP59p0mZO5mVlIRxjQZY6CC9qrmsKtsb2ZeSZawxjowGi8ug/Dx46cpaWzmb2ZnsnjxginV0eENkTiKcajQui6ideMQ9ELDafB1gqQQbGmme/t2dsU7MBUUE99QjJ0STA6J7gP7Lvp0kfU7mRY3F/w9YBjbk+pqQVEU0tPTxy1nMCnYowb3SRy+uAAN3/8ByT/+l2HlW3+/FyXCQfxXb0btllC7O3pPKKE4TWFDYLMBY7QFyShfUhskHZ2PC5MWWHJycjh58iSdnZ28+OKL3HvvvezevZu8vDwef/xxDh06xGuvvUZGRgZ79uzhgQceIDk5mc2bR1dBX/jj60uUNhYPPvggf/d3f9f/3eVyTehBcjnZEhvJ261d3JwQNeU6ZPfYb2GDUdsbkCNHDwMvoSLE6MJTR70L1xu7+r+bYs2U7a3E0haJr7aTyj/+J09Nm8t0r5uY1jbmnG3A4XBSvHAWrvwe0upUfA4XNTUWfJjQVAMhdWIPUlkGTZOIjVPoaNP4wb+lc+0GF+2dRqKjBc3FL9LQE8N3/8+MNVniD1ve4s3aT3PwbCRp7evxeQMgwsn1hCZoL6jHk3aKrNnXj9Fhw7PpAoS8XkpfeZGQ18vx+BTioyKp8XRTs3cgT5M3EOBTmzaNePyFuP0h/CFtRK9hSb7EdhreTqg6AIoxLDQkzQNrFADGmRCz6tNcF+jh5f2/YvnyzxJvu3Sur+cOHcO04rZLVt/VjiVnFnFf+yru/ftxrF7dvz3U1oZltgnH8oVjHK2jozNpgcVkMvUb3S5ZsoQjR47w2GOP8eijj/K9732Pl19+mRt7XT/mzZvHyZMn+dnPfjaqwJKUlDRMm9Lc3DxM63IhZrN53PwfHzYGWSLKoOBTtQloWUZGjZh41lXhakWOHN2rSLLYCRYepbL0JDULYpFkGQFYFCOJMTn0WCqZfeNtAHS1dFN25CRlTe+TmTgPJWUa1c1tRNUpuK02ChIDWO0LmMYSEmYlc0OqyoNJv8XXXcW2A7Mp6Mrj7eOLaHbZgPFtPRQ5gKYZWRSzE2OWkRYpjuMFDuZNa8PTY0AIyExsoT0oMMf28LYpk46FEXRWxhJ51x1cOO2r3VWk5d9KZOTI/aepIbTg0MzQdXt201lZjiRJZN9yG6bIKEYL8v/KIOFlPLZkx7Grpp1P5iQN23fEL3BV7qfD30O0eaitU5vfQ6w5rCHqCAaIHpToUiDI9AkW9G0I+qB8FxgtkLN1zOUuu8nOZzd+izeLX6f6vX2kz8qjvracVWtuJjNtFg7LxCMPB9UgGhrbik7gbOmc8HEj8heoJDCmpiI0Dde2bURs2IBkMiEZDMimS++uraNztXHRcViEEPj9foLBIMFgcFgcEUVR0LTRQ4qvXLmS7du3D7Fj2bZtG6tWrbrYpn1oHOnqoTsUfnsPCTEpYeXPBQ3U9/h7TQAk0hqLSTc+ht9didmROeaxPVUVRM+6h9HENik6lciv/4TCd55i1Zw7UXpD6PoCPTQ3n+WU6qHt+W0YTEYc0Q6yl80hpJpInJ5ES3UzvlAEC0Jw+vgJPvXJTYQOnSUhs5PNvTZLbP57fv7i48xyvsWOf8/DIXXRZTASUMNXI8TIM5LBGMLiCIJLpr49icjkIJ94rIJpPg9bZ96I1+Pn9y8l4TTZCagarectLFzg4slyL21uDwV7CjCbLSRlpUJA0PNuFXKsH0/VcTxDXH97l6kkGc/vX8KZv5n2Z9/u31twdDebf/bT8W4RAOdaz1JfEBZ4JuKafLqmg9auiP6EiX0CRZeSwa2ZCyZ0zgs52d4erq9yL4T8kL0prFmZIGsz1/MT8S4Jxw0YW+dw4kwJB0LnSV4eR08wxIpb5jAtMpM3io5S42rGJJuYGZvM2eZKVC2EUTFikI34q84yM+Bh7vVfn9J19BPwgKaF1W1/QZjS0zEmJuLetx/JoKD5fFjnL/iom6Wjc8UzKYHle9/7Hlu3biU9PZ3u7m6effZZdu3axTvvvIPT6WT9+vV85zvfwWq1kpGRwe7du3n66af5r//6r/46Pv/5z5OamsrDDz8MwDe/+U3WrVvHv/3bv3Hrrbfy6quv8t5777Fv38WvsX9YlHd5cGoSsgRrkqKG7f/eziKSIiz0TXXSIHsPv6rxneUzKDpzjtdffAXLtAaMC/+GkFSPZpAxzVhGUWcVhV2NfDprDQZ54JaJ7pcJaGZ6OrsREkiyDLIcDk6lKP2TpNtuYd8rvyL3tr8C4ERDEcWtjYgz0WQumYHBaMDXA8VHumir6SQlO5GF1y4kOrqQY3sKyLUlEKj0YNLMxEwfWHbTNA2fy8FB60JSf/oKnWo7tv/6CSVFcQR9RkRwsMAiUIwqKH5MJpkelxmETKshFrNcgctdx66zp6g60coM5pLSmsFRg4GtEed4s+t6vvlkFqa0HlKiLMxaOYe2qmZe/uMLGI0GAl4/n/3iX419k/7zBgA6yiop33kQgy2CxGXrJ3yPFzgd3Ji7ZfyCfYxiF/zz4kMTr2MQQgjsbYVQIGDaKnBMfmnHaXJy311/y58fe5R4WwrRWjILPRbajpYSb3BxpHoXb27ZyNLU2dySuwx3wMO5pjq+suQGTL1xftqa66iqK2LRnd+f0nUMIXsTnH8F0pZC1Ee7nPthI5lMRFyz8aNuho7Ox4pJCSxNTU187nOfo6GhgcjISObNm8c777zDli3hB/mzzz7Lgw8+yGc+8xna29vJyMjgoYce4mtf+1p/HdXV1UO0MKtWreLZZ5/ln/7pn/j+979PVlYWzz333BUdg6XN7ed8g4uZCREkRVrIlgyUuzxMj7fzq9O1BFWNT85OYnqUDX9IIz3Swv2LRs5V8swrf2D577/K9MhMHHEmOhqnU/H8y5yLSaAp005U51vk2Y3MjUpCusAV40zQiOV8E6bSrnBYdiGQhAaqFv7szTMSQySNKVG8V3YcgDkJWVw3cylvuMpZcd2FAbDCmYiDgRCHz5fx6e/exavPvIdcF8fqu5YTkzSwGCPLMn937xd551wj+SlOni97D/fnfoYj1IIjexGRPfWkZibR1bQDg2xDtqbz618+RkcHzMpRqWnr4P/9ZzFVrirmxS/HMXsTDqMDpxRFEJnFDS6mBSXuuLOKYFSIAzv3kJGYz85nVc5VFJKdlElcQjzLbxs7GBeA5gvQ8ezb1HTV43U1sub7kzTYvsigbWPhUzWaA0HcqkZ3SMWjakP8wzRAFYJF8+6AxIuLdDsrPpuvfu+HPLfrP5iRexPfPfgbtmbdyF8vv5YVF5R1mGwsTx8aKj86NolzVSfxedxYbGMn5BsXkx3m3AHnX/uLE1h0dHQmjyQuNnzmFYLL5SIyMpKuri6czqlnAx4PTRP8x7Yi/n7LLE7VduHyBUFAUqSF3OTweVVN47nCRlo9AQQSt+ckMi3CMmJ9737xG7xnOULsnX+PWuLmzpy5pNs/4CXhYUFKNnmpW5HlkRd9Xj/6Pjcu2jDpcP59vLGtnJuuDQss50+U0VTXjMFoQFYUhBAsWT0Hi83M4UNHWbBgAaYRon72cb7exbG6Cjo5zqfm3EycdWRj4NruWko6SjDIBhYnLsY2Ca+eQKebYHUPssWIOTMSeRLRT5se+T1xX/4kisNGwR+fJveznx//oEG8ueMP3Ljpc5M6ZiT+u/ggm1IW0OgPx9oQgFmWSDQZcRoUHAYZm3z5vUAC7RU8tvN/OO68llI1gW/NSOLTs4bb3Aymq7aAgh1/wJy5goXrbxn7BC3F0Fk98N3sgNiZYO+1uXI3Q9M5UIOgGCDrmou8Ih0dnY8rE52/dYFlCrS6/ZyrH4j70ufV1OkJcOPc5CEZZ8dDCMGh8nZCmsaa7LghE5Wq+mlv34Pdno3NNn3Ysa8ffZ+bl0z9Qf/GtnKmx4UoPF3JopV5JKbFYrMPz0lSUlJCUlISERHjB6hSNZXC9kLafOFkcjGWGNIj0inuKKY70E2qI5WcmJwptxlABDX8lV2IoBZ2+3SYMMRZkc2jCzAF//oUs//x3vB9Kimm4YNBSzOSRFO1G1te3zpOr2qKvg9Bk9HNzVuHBk4cizeOvEFTaxNf2volAJp6mihoL6A0lMwNydNJsXz0RpbBgI+naxq4PiWVr+0tZGGMg39ZMlTjVtLUTVWbB4MikVzwFLPyF4aXNM0OmHahTqaXwjfDwkn8rIFtvi5oKwVPByDAHgcJ+WD46PtBR0fno0UXWC4hh9+oIHG6E6EKZEUiOTsK4wiToz+ksrOwmevnTMzTp6ixm4rWHpZPjyF6jKRunZ1HUVUP0dErkOWBchMVWAaHfu/7XtfpZc8LJcyaYcWrdpOYGYHBYGD69OkjuplXVVXh9/uJj48nJiZmQtcH0Optpc5dx8yomZPSpkwUIQSaO0io1YvmDxs+yxYFU3pEf7hyoQlOPn0Mq8ndu00Q6PYxY1MetrQkJKORouf2kHP36EtLz//038iYHXXByXs/pLBrtT0ylsQ5S3HGJuNyd/G/jz6BebaJZauWk2xPJjcm94qMn3Ggw41HValt6aHS7aM2GMKvwGedTmYnRJARO0Lk5vYK8Lsgef7Q7WoIKnaH7VN0dHR0JsBE5289W/MEmLEgnu42L4nTIzHbDDRVdBH0ayANhEsTWnj2Mjb7eaN+/Jwv3mYv+SuTuX7O2Gp4gKioJaiqj4aGF0lKuh1FGXl5qY+ixm5qOzwoo4QClySJlEgLd35hDqZBmWW9Xi/l5eVkZWUNK5+ZmQmEXc6Lioowm81kZGSMOwHHWeNGXR66FEiShBJhQokYEOQ0TxB/WRcipCE7jBiT7ESkxZO9eUl/mZ76VtpKmijdUYAlwoKnrXuk6sP1aRrzpq8kZwxbmcI/78FX1cmZPS9RpAQIOe0sTJpObct5Nk27sifvVdEO3CGV47JMeoKDWIPCfKdt7HvbdG7kZRzFcFntfXR0dP5y0QWWCRCX5iAuzUFtYTu2SDMpM4enle8jk4lNzpVnWsmYPno9F6IoFpKTP0l7+16QJCRkml1dQ7LbCsI2NrMSI9iUO3Ycm5GoqakhLS1tzDIJCQkkJCTQ1dVFVVVVvyBzJSHbjFhmhftWdQfwFbXT2u4nM6Bi6LV7safEYU+JY9r6kbM0D0b4g8jGse1lJCQW3Be269gEVPy5iKrTu7GkjV//lYDDoLAuZoI5aaoOQGI+mC69xkxHR0dnNHSBZRKkzY6h8kwrNqcJi33i8S9GImVmFKXHmkmbHY01YmLr+LJsIC5uwBXyS5fQTrG4uJiEhARstolNQpWVlf0pGa5kFIcJ29x4lubFUl/UiapqmKwGkqY7kSdoaxT0+FHMA/db0wRCFWia6P/7QqbflcP0u3IoP9lyya7liqClKOzdEzPcpgqAzpqwlkVHR0fnEqM/WSZJxpxYyk+2YIswEZvmGNNzZixMFgPZSxJoKOuisbyLpBmRExZcLjVNTU3ExMQQFRU1ofI1NTUkJCRgNF6c0PZhoigy6Xlh2xu/J0hNYQdCExiMMgkZTkzW0e+jz6dReqqDoHsPEA5vI0nheGd9n+nrhgtvPV1+bM6rzKi0vQJmXTd0W8ADtUfCweys0TBjw0fSNB0dnasbXWCZJJIkkbUwAV9PkNYaN8FA2NBTAtLzYiZlVClJEinZUQCUHmsmPS8G8xgT5+XCYDAQCoXGLddn45KcnDwpw9srDbPNSEZ+2L02FFBpru4m6B85z5DQBI5oCylr5pCzLnVS52mqcDF9/uWz3/lISF8GRW+HvXsEgACDJbzdONzDTEdHR+dSoQssE6S+tJOgT0UIgcVhJCHDScrMKAACvhCVZ1rx9QSxOqb2Rp21KJ6qM21kzvvwJ7jY2FjKy8spLi4eMaZLn5eR0WgkLy/vivR0mSoGk9IvNI6EEILqs21UnGphziQEFneHD1uk6arqKwBsMTD7ho+6FTo6On+B6ALLBBCaoKOhh9krklGMMt7uALWF7f3OEEaTTObcuCkvD0FY2/JR+lbMmDE0/oamaUiSdPVNuJNEkiQy5sZhshupL+kY0+C6DyEEtUUdzF4x8USWOjo6OjpjowssE0CSJWavTKbmfHs41H2yHavDRE+XH0mSCAY0ags6iEm1IzSBxW6csD2KGtJoqe7G1xO8aEPeS8lUo+derSTPiKSt3k1bnZvY1NFD0muaoOx4M9PnTz7Xj46Ojo7O6OgCywRRDDKZ8+LQVI2uFi+2SBPx0wbcQD2uAAFfCMUg42rz0VQZjoSrGGUSM53DtC9CCMqOt2C2G4hPj7iihBWdkYlNcVB2onlEgcXd4aelphsJyJwXh3ESaQN0dHR0dMZHF1gmiazIRCcNj/xpc5r6PUKccQPGh6GgSnOlC293kPhpEf37Kk61kjor6iPzDNKZGslZUVSeaUWSe3Nu90bxt0WYyJwb+xe/hKajo6NzudAFlsuMwaj02z201HRTda4NBMRPi9CFlY8hNqeJzLlXmeePjo6OzscAXWD5EIlPn2AkUR0dHR0dHZ0h6JaVOjo6Ojo6Olc8usCio6Ojo6Ojc8WjCyw6Ojo6Ojo6Vzy6wKKjo6Ojo6NzxaMLLDo6Ojo6OjpXPLrAoqOjo6Ojo3PFowssOjo6Ojo6Olc8usCio6Ojo6Ojc8WjCyw6Ojo6Ojo6Vzy6wKKjo6Ojo6NzxaMLLDo6Ojo6OjpXPLrAoqOjo6Ojo3PFowssOjo6Ojo6Olc8usCio6Ojo6Ojc8Vj+KgbcKkQQgDgcrk+4pbo6Ojo6OjoTJS+ebtvHh+Nq0Zg6e7uBiA9Pf0jbomOjo6Ojo7OZOnu7iYyMnLU/ZIYT6T5mKBpGvX19URERCBJ0kfdHFwuF+np6dTU1OB0Oj/q5nzk6P0xFL0/hqL3x1D0/hiK3h9Dudr6QwhBd3c3KSkpyPLolipXjYZFlmXS0tI+6mYMw+l0XhUD6lKh98dQ9P4Yit4fQ9H7Yyh6fwzlauqPsTQrfehGtzo6Ojo6OjpXPLrAoqOjo6Ojo3PFowsslwmz2cwPf/hDzGbzR92UKwK9P4ai98dQ9P4Yit4fQ9H7Yyh/qf1x1Rjd6ujo6Ojo6Fy96BoWHR0dHR0dnSseXWDR0dHR0dHRueLRBRYdHR0dHR2dKx5dYNHR0dHR0dG54tEFlilSXFzMrbfeSlxcHE6nk9WrV7Nz584hZY4cOcKmTZuIiooiOjqaa6+9lpMnT45Zr9/v52/+5m+Ii4vDbrdzyy23UFtbexmv5NIwXn889dRTSJI04r/m5uZR692wYcOw8vfcc8+HcUkXxeXqj6t1fPTx1FNPMW/ePCwWC0lJSXz9618fs96rdXz0Mdn+uJrHx0i/lV/84hdj1ns1j4+p9MfHdXz0I3SmRHZ2trjhhhvEqVOnRHFxsXjggQeEzWYTDQ0NQgghXC6XiI6OFl/4whdEYWGhOHv2rPjEJz4hEhISRCAQGLXer33tayI1NVVs375dHD9+XGzcuFHMnz9fhEKhD+vSpsR4/eHxeERDQ8OQf9ddd51Yv379mPWuX79efPnLXx5yXGdn54dwRRfH5eqPq3V8CCHEf/7nf4qUlBTxzDPPiNLSUnH27Fnx2muvjVnv1To+hJhaf1zN4wMQv/vd74bca4/HM2a9V/P4mEp/fFzHRx+6wDIFWlpaBCD27NnTv83lcglAvPfee0IIIY4cOSIAUV1d3V/m9OnTAhClpaUj1tvZ2SmMRqN49tln+7fV1dUJWZbFO++8c5mu5uKZSH9cSHNzszAajeLpp58es+7169eLb37zm5eyuZedy9UfV/P4aG9vF1arddT+GY2rdXxMpT+u5vEhRHiCfvnllydV99U6PoSYfH98XMfHYPQloSkQGxtLbm4uTz/9ND09PYRCIX75y1+SmJjI4sWLAcjJySEuLo7f/OY3BAIBvF4vv/nNb8jPzycjI2PEeo8dO0YwGOTaa6/t35aSksKcOXM4cODAh3JtU2Ei/XEhTz/9NDabjTvvvHPc+p955hni4uLIz8/n29/+dn9m7iuVy9UfV/P42L59O5qmUVdXR25uLmlpadx1113U1NSMW//VOD6m0h9X8/jo4+tf/zpxcXEsXbqUX/ziF2iaNm79V+P46GMy/fFxHR9D+Kglpo8rtbW1YvHixUKSJKEoikhJSREnTpwYUubs2bMiKytLyLIsZFkWs2fPFlVVVaPW+cwzzwiTyTRs+5YtW8RXvvKVS30Jl5SJ9Mdg8vLyxP333z9uvb/61a/E9u3bxZkzZ8Sf/vQnkZmZKTZv3nwJW355uBz9cTWPj4cfflgYjUaRk5Mj3nnnHXHw4EGxadMmkZOTI/x+/6j1Xq3jYyr9cTWPDyGE+PGPfywOHDggTpw4IX72s58Jm80mfvzjH49Z79U6PoSYfH98nMdHH7rAMogf/vCHAhjz35EjR4SmaeKWW24RW7duFfv27RPHjh0T999/v0hNTRX19fVCiLCNwrJly8TnP/95cfjwYXHw4EHxiU98QuTn54+6zjjagNq8ebP46le/elmvfSQuZX8M5sCBAwIQR48enXSbjh49KgBx7NixS3GJk+Kj7o+reXw89NBDAhDvvvtuf/3Nzc2TVldfLeNjKv1xNY+PkfjZz34mnE7npNp0tYyPkRivP6608TEVdIFlEC0tLaKgoGDMf16vV7z33ntClmXR1dU15Pjs7Gzx8MMPCyGEePLJJ0VCQoJQVbV/v9/vFzabTfzpT38a8fw7duwQgGhvbx+yfd68eeIHP/jBJb7a8bmU/TGY++67TyxYsGBKbdI0bdg67IfFR90fV/P4+O1vfysAUVNTM6RMQkKC+NWvfjXhNl0t42Mq/XE1j4+R2LdvnwBEY2PjhNt0tYyPkRivP6608TEVDBexmnTVERcXR1xc3LjlPB4PALI81ARIluX+NUSPx4Msy0iSNGS/JEmjrjMuXrwYo9HI9u3bueuuuwBoaGjg7Nmz/Pu///uUruliuJT90Yfb7ebPf/4zDz/88JTadO7cOYLBIMnJyVM6/mL4qPvjah4fq1evBqCoqIi0tDQA2tvbaW1tHdXmaySulvExlf64msfHSJw4cQKLxUJUVNSE23S1jI+RGK8/rrTxMSU+aonp40hLS4uIjY0Vd9xxhzh58qQoKioS3/72t4XRaBQnT54UQghRUFAgzGazuP/++8X58+fF2bNnxWc/+1kRGRnZr9arra0VOTk54oMPPuiv+2tf+5pIS0sT7733njh+/Li45pprrni3s4n0Rx9PPvmksFgsw6R8IYb3R2lpqfjRj34kjhw5IioqKsSbb74pZs+eLRYuXPgX2R9CXN3j49ZbbxX5+fli//794syZM+Kmm24SeXl5/WEA/tLGx2T7Q4ird3y89tpr4le/+pU4c+aMKC0tFb/+9a+F0+kU3/jGN/rr+UsaH1PpDyE+nuNjMLrAMkWOHDkirr32WhETEyMiIiLEihUrxFtvvTWkzLZt28Tq1atFZGSkiI6OFtdcc404ePBg//6KigoBiJ07d/Zv83q94utf/7qIiYkRVqtV3HTTTUNco69UJtIfQgixcuVK8elPf3rEOi7sj+rqarFu3ToRExMjTCaTyMrKEt/4xjdEW1vb5byUS8Ll6A8hru7x0dXVJe677z4RFRUlYmJixO233z7k2v7Sxsdk+0OIq3d8vP3222LBggXC4XAIm80m5syZIx599FERDAb7y/wljY+p9IcQH9/x0YckhBAfoYJHR0dHR0dHR2dc9DgsOjo6Ojo6Olc8usCio6Ojo6Ojc8WjCyw6Ojo6Ojo6Vzy6wKKjo6Ojo6NzxaMLLDo6Ojo6OjpXPLrAoqOjo6Ojo3PFowssOjo6Ojo6Olc8usCio6Ojo6Ojc8WjCyw6Ojo6Ojo6Vzy6wKKjo6Ojo6NzxaMLLDo6Ojo6OjpXPLrAoqOjo6Ojo3PF8/8Bg9JlIxTkGcMAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"sanity check - Dem-leaning vtds for year\",years[0])\n",
    "for v in range(nVTDs):\n",
    "    plotPoly(vtdGeom[v],0.2)\n",
    "    if DemVotes[0][vestID[v]] > RepVotes[0][vestID[v]]:\n",
    "        plt.text(vtdGeom[v].centroid.x, vtdGeom[v].centroid.y, \"d\", color = \"blue\",fontsize=6)\n",
    "        #plotCenter(\"d\",vtdGeom[v],6)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 286,
   "id": "56ed7e9d-1400-4848-892e-737555552d58",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now, let's compute the ensemble average vote margin (GOP -  Dem total votes) for 2020 vs. true statewide result\n",
      "working on drawn district no 0\n",
      "working on drawn district no 1000\n",
      "working on drawn district no 2000\n",
      "working on drawn district no 3000\n",
      "working on drawn district no 4000\n",
      "working on drawn district no 5000\n",
      "here is the table of Dem and Rep votes, vote margin for true 2020 vs. ensemble\n",
      "true 2020: 1242499 1729857 487357\n",
      "ensemble : 1234397 1741776 507379\n",
      "the true and ensemble state GOP leans are 0.58198 0.585240243352444\n"
     ]
    }
   ],
   "source": [
    "print(\"Now, let's compute the ensemble average vote margin (GOP -  Dem total votes) for 2020 vs. true statewide result\")\n",
    "nDrawnDistricts = len(HDweight)  #now including cut districts\n",
    "nMapDistricts = nCutDistricts + nDistricts\n",
    "nEnsembleDems, nEnsembleReps = [0.]*nYears, [0.]*nYears\n",
    "y=0\n",
    "for t in range(nDrawnDistricts):\n",
    "    if t%1000 == 0:\n",
    "        print(\"working on drawn district no\",t)\n",
    "    nEnsembleDems[y] += nMapDistricts* HDweight[t] * ( np.sum([DemVotes[y][vestID[v]] for v in HDvtdList[t] ])\n",
    "                                               + np.sum([DemVotes[y][vestID[v]] * splitTractUse[t][i] for i,v in enumerate(splitTractNo[t]) ])  )\n",
    "    nEnsembleReps[y] += nMapDistricts* HDweight[t] * ( np.sum([RepVotes[y][vestID[v]] for v in HDvtdList[t] ])\n",
    "                                               + np.sum([RepVotes[y][vestID[v]] * splitTractUse[t][i] for i,v in enumerate(splitTractNo[t]) ])  )\n",
    "\n",
    "print(\"here is the table of Dem and Rep votes, vote margin for true 2020 vs. ensemble\")\n",
    "print(\"true 2020:\",int(vestDems[y]),int(vestReps[y]),              int(vestReps[y] - vestDems[y]) )\n",
    "print(\"ensemble :\",int(nEnsembleDems[y]),int(nEnsembleReps[y]),    int(nEnsembleReps[y] - nEnsembleDems[y]) )\n",
    "print(\"the true and ensemble state GOP leans are\",r5(vestReps[y]/(vestReps[y]+vestDems[y])),\n",
    "      nEnsembleReps[y]/(nEnsembleReps[y]+nEnsembleDems[y]) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 290,
   "id": "5c607c63-df0d-4334-8131-368c090c76d2",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "5159 5159 9 2112\n"
     ]
    }
   ],
   "source": [
    "print(nDrawnDistricts,nHDs, nDistricts, tractPop[54])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 291,
   "id": "bb0d0d12-6bf4-4d5f-9236-fa8735393e98",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Uh oh, we have a bias -- are the Gary and Indy areas undersampled?\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"Uh oh, we have a bias -- are the Gary and Indy areas undersampled?\")\n",
    "vtdUse = [0. for v in range(nVTDs)]\n",
    "for t in range(nHDs):\n",
    "    for v in HDfullVTDlist[t]:\n",
    "        vtdUse[v] += HDweight[t] * nDistricts\n",
    "    for i, v in enumerate(HDpartialVTDlist[t]):\n",
    "        vtdUse[v] += HDweight[t] * nDistricts * HDvtdFrac[t][i]\n",
    "minPlot, maxPlot = 0.9, 1.1\n",
    "for v in range(nVTDs):\n",
    "    if vtdUse[v] < minPlot and tractPop[v] > 100 :\n",
    "        plotPoly(vtdGeom[v])\n",
    "    if vtdUse[v] > maxPlot and tractPop[v] > 100:\n",
    "        plotPoly(vtdGeom[v],0.2)\n",
    "plotPoly(MAP)\n",
    "plt.show()\n",
    "        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "80931216-0363-4ef4-9c57-0e283e488904",
   "metadata": {},
   "outputs": [],
   "source": [
    "#3/18/24 - below attempts to selectively patch near Gary.  Would be better to make Gary-area a unit"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "48106f9e-0f08-4b18-9cee-c84eaf18c98a",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "00572714-57d7-4c00-ae97-bc1366b4c8ec",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 297,
   "id": "a48e0415-75a1-4de4-b223-097735359f45",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "can we increase usage near Gary (county 44) to increase Dem vote?\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The total vote swing for normalizing this county's usage would be 1959.9172255017647 0.00402\n",
      "Can we correlate Dem vote margin to pop / area?\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"can we increase usage near Gary (county 44) to increase Dem vote?\")\n",
    "c = 44\n",
    "totalVoteGap = 0\n",
    "for v in countyTractList[c]:\n",
    "    DemVoteMargin = DemVotes[0][vestID[v]] - RepVotes[0][vestID[v]]\n",
    "    totalVoteGap += (1. - vtdUse[v]) * DemVoteMargin\n",
    "    plt.scatter(vtdUse[v], DemVoteMargin )\n",
    "plt.show()\n",
    "print(\"The total vote swing for normalizing this county's usage would be\",totalVoteGap,r5(totalVoteGap/float(vestReps[y] - vestDems[y]) ) )\n",
    "print(\"Can we correlate Dem vote margin to pop / area?\")\n",
    "\n",
    "for v in countyTractList[c]:\n",
    "    DemVotePct = DemVotes[0][vestID[v]] / (DemVotes[0][vestID[v]] + RepVotes[0][vestID[v]] + 0.00001)\n",
    "    plt.scatter(tractPop[v]/vtdGeom[v].area, DemVotePct)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 294,
   "id": "4cb9861a-fd9e-4c75-b21e-8c41196d3087",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "can we increase usage near Fort Wayne (county 1) to increase Dem vote?\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The total vote swing for normalizing this county's usage would be -971.2239370062586 -0.00199\n"
     ]
    }
   ],
   "source": [
    "print(\"can we increase usage near Fort Wayne (county 1) to increase Dem vote?\")\n",
    "c = 1\n",
    "totalVoteGap = 0\n",
    "for v in countyTractList[c]:\n",
    "    DemVoteMargin = DemVotes[0][vestID[v]] - RepVotes[0][vestID[v]]\n",
    "    totalVoteGap += (1. - vtdUse[v]) * DemVoteMargin\n",
    "    plt.scatter(vtdUse[v], DemVoteMargin )\n",
    "plt.show()\n",
    "print(\"The total vote swing for normalizing this county's usage would be\",totalVoteGap,r5(totalVoteGap/float(vestReps[y] - vestDems[y]) ) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 300,
   "id": "b3ada048-00c1-4614-91a2-76673c76746a",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "setting up to boost Gary-area Dem usage\n",
      "Here are the underused Dem-leaning units in county 44\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"setting up to boost Gary-area Dem usage\")  #this works, but very slow\n",
    "c = 44\n",
    "DemVTDs = list()\n",
    "DemUnderusedUnits = list()\n",
    "for v in countyTractList[c]:\n",
    "    if DemVotes[0][vestID[v]] - RepVotes[0][vestID[v]] :\n",
    "        DemVTDs.append(v)\n",
    "for u in countyUnitList[44]:\n",
    "    if unitUse[u] < 1:\n",
    "        isDem = False\n",
    "        for v in DemVTDs:\n",
    "            if vtdGeom[v].contains(unitCP[u]):\n",
    "                isDem = True\n",
    "                DemUnderusedUnits.append(u)\n",
    "                break\n",
    "print(\"Here are the underused Dem-leaning units in county\",c)\n",
    "for u in DemUnderusedUnits:\n",
    "    plotPoly(unitGeom[u])\n",
    "    plotPoly(unitCP[u].buffer(0.001))\n",
    "plotPoly(countyGeom[c])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 301,
   "id": "675249e5-065f-43d4-9f53-a9cd3b8341d5",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Here, we target Gary-area units for increased usage\n",
      "Here, we exchange in under-used, THEN shed over-used\n",
      "Currently, we will stop patching when the overall sd of usage is less than 0.04\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter updated maxSD value 0.04\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "we will stop patching on individual underused units when their usage exceeds 0.999\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter updated stopMinUse value 0.999\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "maxExchangePop is currently 0.2 fraction of avgDistrictPop\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "Enter updated maxExchangePop fraction 0.2\n",
      "enter 1 to print out stats for every patched HD, otherwise enter reporting frequency 5\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Let's further tighten the distro with exchanges up to 150789\n",
      "we will try to increase usage for 102 units out of Dem-leaning total 343\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter updated maxNtries 102\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "current avg and SD of unit usage are 1.00015 0.05996 . Now trying to increase up to 102 units' underusage\n",
      "all done trying to reduce usage of unit 2582 final usage = 0.88846 2119 sec elapsed 16 1 successful, failed patches, couldn't start= 89\n",
      "current avg and SD of usage are 1.00015 0.05929\n",
      "all done trying to reduce usage of unit 2351 final usage = 0.99925 11833 sec elapsed 76 8 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00015 0.0568\n",
      "all done trying to reduce usage of unit 2586 final usage = 0.90768 14494 sec elapsed 16 11 successful, failed patches, couldn't start= 40\n",
      "current avg and SD of usage are 1.00015 0.05625\n",
      "all done trying to reduce usage of unit 2579 final usage = 0.88244 22878 sec elapsed 2 79 successful, failed patches, couldn't start= 11\n",
      "current avg and SD of usage are 1.00015 0.0562\n",
      "starting to increase usage for unit 2468 with usage 0.88398 . Total UU units tried = 5\n",
      "all done trying to reduce usage of unit 2468 final usage = 0.88728 26053 sec elapsed 2 27 successful, failed patches, couldn't start= 28\n",
      "current avg and SD of usage are 1.00015 0.05616\n",
      "Unexpected exception formatting exception. Falling back to standard exception\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\wise.gm\\AppData\\Local\\anaconda3\\Lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 3526, in run_code\n",
      "    exec(code_obj, self.user_global_ns, self.user_ns)\n",
      "  File \"C:\\Users\\wise.gm\\AppData\\Local\\Temp\\ipykernel_9764\\1316941061.py\", line 80, in <module>\n",
      "    contig,cContig, __, ___ = enclaveCheck(list(trySet.union({addU}) ), unitNbrs)\n",
      "                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
      "  File \"C:\\Users\\wise.gm\\AppData\\Local\\Temp\\ipykernel_9764\\2508540457.py\", line 737, in enclaveCheck\n",
      "    noEnclave, enclaveList =   isContiguous(ADJLIST, UNITNBRS)\n",
      "                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
      "  File \"C:\\Users\\wise.gm\\AppData\\Local\\Temp\\ipykernel_9764\\2508540457.py\", line -1, in isContiguous\n",
      "KeyboardInterrupt\n",
      "\n",
      "During handling of the above exception, another exception occurred:\n",
      "\n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\wise.gm\\AppData\\Local\\anaconda3\\Lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 2120, in showtraceback\n",
      "    stb = self.InteractiveTB.structured_traceback(\n",
      "          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
      "  File \"C:\\Users\\wise.gm\\AppData\\Local\\anaconda3\\Lib\\site-packages\\IPython\\core\\ultratb.py\", line 1435, in structured_traceback\n",
      "    return FormattedTB.structured_traceback(\n",
      "           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
      "  File \"C:\\Users\\wise.gm\\AppData\\Local\\anaconda3\\Lib\\site-packages\\IPython\\core\\ultratb.py\", line 1326, in structured_traceback\n",
      "    return VerboseTB.structured_traceback(\n",
      "           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
      "  File \"C:\\Users\\wise.gm\\AppData\\Local\\anaconda3\\Lib\\site-packages\\IPython\\core\\ultratb.py\", line 1173, in structured_traceback\n",
      "    formatted_exception = self.format_exception_as_a_whole(etype, evalue, etb, number_of_lines_of_context,\n",
      "                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
      "  File \"C:\\Users\\wise.gm\\AppData\\Local\\anaconda3\\Lib\\site-packages\\IPython\\core\\ultratb.py\", line 1088, in format_exception_as_a_whole\n",
      "    frames.append(self.format_record(record))\n",
      "                  ^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
      "  File \"C:\\Users\\wise.gm\\AppData\\Local\\anaconda3\\Lib\\site-packages\\IPython\\core\\ultratb.py\", line 970, in format_record\n",
      "    frame_info.lines, Colors, self.has_colors, lvals\n",
      "    ^^^^^^^^^^^^^^^^\n",
      "  File \"C:\\Users\\wise.gm\\AppData\\Local\\anaconda3\\Lib\\site-packages\\IPython\\core\\ultratb.py\", line 792, in lines\n",
      "    return self._sd.lines\n",
      "           ^^^^^^^^^^^^^^\n",
      "  File \"C:\\Users\\wise.gm\\AppData\\Local\\anaconda3\\Lib\\site-packages\\stack_data\\utils.py\", line 145, in cached_property_wrapper\n",
      "    value = obj.__dict__[self.func.__name__] = self.func(obj)\n",
      "                                               ^^^^^^^^^^^^^^\n",
      "  File \"C:\\Users\\wise.gm\\AppData\\Local\\anaconda3\\Lib\\site-packages\\stack_data\\core.py\", line 698, in lines\n",
      "    pieces = self.included_pieces\n",
      "             ^^^^^^^^^^^^^^^^^^^^\n",
      "  File \"C:\\Users\\wise.gm\\AppData\\Local\\anaconda3\\Lib\\site-packages\\stack_data\\utils.py\", line 145, in cached_property_wrapper\n",
      "    value = obj.__dict__[self.func.__name__] = self.func(obj)\n",
      "                                               ^^^^^^^^^^^^^^\n",
      "  File \"C:\\Users\\wise.gm\\AppData\\Local\\anaconda3\\Lib\\site-packages\\stack_data\\core.py\", line 649, in included_pieces\n",
      "    pos = scope_pieces.index(self.executing_piece)\n",
      "                             ^^^^^^^^^^^^^^^^^^^^\n",
      "  File \"C:\\Users\\wise.gm\\AppData\\Local\\anaconda3\\Lib\\site-packages\\stack_data\\utils.py\", line 145, in cached_property_wrapper\n",
      "    value = obj.__dict__[self.func.__name__] = self.func(obj)\n",
      "                                               ^^^^^^^^^^^^^^\n",
      "  File \"C:\\Users\\wise.gm\\AppData\\Local\\anaconda3\\Lib\\site-packages\\stack_data\\core.py\", line 628, in executing_piece\n",
      "    return only(\n",
      "           ^^^^^\n",
      "  File \"C:\\Users\\wise.gm\\AppData\\Local\\anaconda3\\Lib\\site-packages\\executing\\executing.py\", line 164, in only\n",
      "    raise NotOneValueFound('Expected one value, found 0')\n",
      "executing.executing.NotOneValueFound: Expected one value, found 0\n"
     ]
    }
   ],
   "source": [
    "print(\"Here, we target Gary-area units for increased usage\")\n",
    "print(\"Here, we exchange in under-used, THEN shed over-used\")\n",
    "maxSD = 0.04  #0.07  #0.05   #adjust down if distro already tight\n",
    "print(\"Currently, we will stop patching when the overall sd of usage is less than\",maxSD)\n",
    "maxSD = float(input(\"enter updated maxSD value\"))\n",
    "stopMinUse = 0.999\n",
    "print(\"we will stop patching on individual underused units when their usage exceeds\",r5(stopMinUse))\n",
    "stopMinUse = float(input(\"enter updated stopMinUse value\"))\n",
    "#nSmallUsers = 5\n",
    "maxExchangePop = 0.2*aDP \n",
    "print(\"maxExchangePop is currently\",r5(maxExchangePop/aDP),\"fraction of avgDistrictPop\")\n",
    "newMEPratio = float(input(\"Enter updated maxExchangePop fraction\"))\n",
    "maxExchangePop = newMEPratio*aDP\n",
    "debug1 = int(input(\"enter 1 to print out stats for every patched HD, otherwise enter reporting frequency\"))\n",
    "print(\"Let's further tighten the distro with exchanges up to\",int(maxExchangePop)) #1/25/24\n",
    "maxGap = 0.9 * np.median(unitPop) \n",
    "currAvg, currSD = getWeightedAvgAndSD(unitUse,unitPop)\n",
    "maxNtries = int(0.3*len(DemUnderusedUnits))\n",
    "print(\"we will try to increase usage for\",maxNtries,\"units out of Dem-leaning total\",len(DemUnderusedUnits))\n",
    "maxNtries = int(input(\"enter updated maxNtries\"))\n",
    "attemptedSmallUs = list()\n",
    "print(\"current avg and SD of unit usage are\",r5(currAvg), r5(currSD),\". Now trying to increase up to\",maxNtries,\"units' underusage\" )\n",
    "startTime = time.time()\n",
    "uList = DemUnderusedUnits.copy()\n",
    "GaryUse = [unitUse[u] for u in uList]\n",
    "while len(attemptedSmallUs) < maxNtries:\n",
    "    UUU = uList[GaryUse.index(np.min(GaryUse))]  #for this special version, just go from low to high use\n",
    "    attemptedSmallUs.append(UUU)  #so we don't try this unit again in a future loop\n",
    "    UUUc = [UUU] + unitNbrs[UUU]  #the list of this unit and ALL its neighbors (to be curated below ...)\n",
    "    if len(attemptedSmallUs) % debug1 == 0:\n",
    "        print(\"starting to increase usage for unit\",UUU,\"with usage\",r5(unitUse[UUU]),\". Total UU units tried =\",len(attemptedSmallUs) )\n",
    "    for u in UUUc.copy():\n",
    "        if unitUse[u] > 1.:\n",
    "            UUUc.remove(u)  #...drop any overused neighbors of the primary UUU from the target sheddable cluster\n",
    "    uuuHDs, uuuDists = list(), list()\n",
    "    for t in popHDlist:  #finding all HDs with at least one cluster member on the boundary\n",
    "        if UUU not in HDunitList[t]:\n",
    "            HDadjoinSet = set( getAdjoiners(HDunitList[t],unitNbrs) )\n",
    "            if len(HDadjoinSet.intersection(UUUc) ) > 0: #the UUU or one of its underused 1-neighbors adjoins this HD\n",
    "                uuuHDs.append(t)  #Note: we'll check later if we can contiguously pick up the UUU's cluster\n",
    "                uuuDists.append( unitCP[UUU].distance(hdCP[t]) / avgDist[t] )\n",
    "    idx0 = np.argsort(uuuDists)\n",
    "    nPatchSuccess, nPatchFail, nCouldntStart, idxNo = 0,0,0,-1\n",
    "    while unitUse[UUU] < stopMinUse and idxNo < 0.95*len(uuuHDs): #arbitrarily only examine 95% closest of HDs\n",
    "        excess, giveUpOnShedding = 99*aDP, True  #default = failed swap\n",
    "        idxNo += 1\n",
    "        if idxNo % 20 == 0 and debug1 == 1:\n",
    "            print(\"try to add unit\",UUU,\"from\",abs(idxNo),\"th HD.  Usage up to\",unitUse[UUU] )\n",
    "        t = uuuHDs[idx0[idxNo]]\n",
    "        trySet = set(HDunitList[t]).union(set(UUUc))\n",
    "        contig,complementContig, __, ___ = enclaveCheck(list(trySet), unitNbrs)\n",
    "        loopUUUc = UUUc.copy()  #default; we will add whole cluster\n",
    "        if not (contig and complementContig): #we can't add whole cluster; neighbors may be enclavy.   Try just adding the UUU\n",
    "            trySet = set(HDunitList[t]).union({UUU})\n",
    "            contig,complementContig, __, ___ = enclaveCheck(list(trySet), unitNbrs)\n",
    "            loopUUUc = [UUU]\n",
    "        if contig and complementContig:  #we can at least add the cluster, let's go for more\n",
    "            HDuuuSet = set(loopUUUc).difference(set(HDunitList[t]))  #the subset of the UUU cluster that adjoins (NOT in) this HD\n",
    "            HDuuuCpop = np.sum([unitPop[u] for u in HDuuuSet])\n",
    "            giveUpOnAdding = False            \n",
    "            addCandidates, addUseDists = list(), list()\n",
    "            uuCandidates = getAdjoiners(trySet, unitNbrs)  #any adjoiner can be picked up, even if far from UUUc\n",
    "            for u in uuCandidates:\n",
    "                if HDuuuCpop + unitPop[u] <= maxExchangePop:\n",
    "                    addCandidates.append(u)  #Below's relative scoring of use and distance is a bit arbitrary\n",
    "                    addUseDists.append((unitUse[uu]-1.) + 0.1*unitCP[uu].distance(hdCP[t]) / avgDist[t])  #bias toward close, underused\n",
    "            if len(addCandidates) == 0:\n",
    "                giveUpOnAdding = True\n",
    "            while HDuuuCpop < maxExchangePop and not giveUpOnAdding:\n",
    "                addNneighbors = [len( set(unitNbrs[addC]).intersection(trySet) ) for addC in addCandidates ]\n",
    "                addScores = addUseDists.copy()\n",
    "                for jjj, u in enumerate(addCandidates):\n",
    "                    if addNneighbors[jjj] == 1:\n",
    "                        addScores[jjj] += 0.4321    #discourage growing fingers\n",
    "                #print(\"HDuuuCpop is now\",HDuuuCpop)\n",
    "                idx, ij, notYetPicked = np.argsort(addScores), 0, True\n",
    "                while ij < 0.5*len(addScores) and notYetPicked:\n",
    "                    listNo = idx[ij]   #work from low to high score\n",
    "                    addU = addCandidates[listNo]\n",
    "                    contig,cContig, __, ___ = enclaveCheck(list(trySet.union({addU}) ), unitNbrs)\n",
    "                    if contig and cContig:\n",
    "                        notYetPicked = False\n",
    "                        HDuuuCpop += unitPop[addU]\n",
    "                        HDuuuSet.add(addU)\n",
    "                        trySet.add(addU)\n",
    "                        del addUseDists[addCandidates.index(addU)]\n",
    "                        del addCandidates[addCandidates.index(addU)]                        \n",
    "                        for uu in list(set(unitNbrs[addU]).difference(trySet) ): \n",
    "                            if uu not in addCandidates and unitPop[uu] + HDuuuCpop < maxExchangePop and unitUse[uu] < 1.01:\n",
    "                                addCandidates.append(uu)\n",
    "                                addUseDists.append( (unitUse[uu]-1.) + 0.1*unitCP[uu].distance(hdCP[t]) / avgDist[t] )\n",
    "                    else:\n",
    "                        ij +=1\n",
    "                if notYetPicked:\n",
    "                    giveUpOnAdding = True  #all candidates would create a discontig, so can't shed any more units\n",
    "            addSet = HDuuuSet.copy()  #we're done building the list of underused units to add to this HD\n",
    "            trySet = set(HDunitList[t]).union(addSet) \n",
    "            excess = np.sum([unitPop[u] for u in trySet]) - aDP\n",
    "            shedCandidates, shedScores, giveUpOnShedding = list(), list(), False\n",
    "            bdryCandidates = getBdryNonEdgers(trySet, unitNbrs)  #new - any boundary unit can be shed, even if far from OUUc\n",
    "            for u in bdryCandidates:\n",
    "                if unitPop[u] <= excess + maxGap:\n",
    "                    shedCandidates.append(u)\n",
    "                    shedScores.append((unitUse[u] - 1.) * unitCP[u].distance(hdCP[t])/avgDist[t])  #bias toward OVERUSED, far\n",
    "            if len(shedCandidates) == 0:\n",
    "                giveUpOnShedding = True\n",
    "            shedSet = set()\n",
    "            while excess > maxGap and not giveUpOnShedding:\n",
    "                #print(\"excess pop is now\",excess,\"for HD\",t)\n",
    "                idx, ij, notYetPicked = np.argsort(shedScores), 0, True\n",
    "                while ij < len(shedScores) and notYetPicked:\n",
    "                    listNo = idx[-1-ij]   #work from high to low score\n",
    "                    shedU = shedCandidates[listNo]\n",
    "                    if shedScores[listNo] <= 0:  #we're delving into the underused; stop adding to shed list\n",
    "                        break\n",
    "                    if excess - unitPop[shedU] >= -1*maxGap:\n",
    "                        contig,cContig, __, ___ = enclaveCheck(list(trySet.difference({shedU}) ), unitNbrs)\n",
    "                        if contig and cContig:\n",
    "                            notYetPicked = False\n",
    "                            excess -= unitPop[shedU]\n",
    "                            trySet.remove(shedU)\n",
    "                            shedSet.add(shedU)\n",
    "                            del shedScores[shedCandidates.index(shedU)]\n",
    "                            del shedCandidates[shedCandidates.index(shedU)]\n",
    "                            newSheddables = set(unitNbrs[shedU]).intersection(trySet)\n",
    "                            for u in newSheddables:\n",
    "                                if excess - unitPop[u] >= -1*maxGap and u not in shedCandidates:\n",
    "                                    shedCandidates.append(u)  #we'll check enclavity if ever picked\n",
    "                                    shedScores.append((unitUse[u] - 1.) * unitCP[u].distance(hdCP[t])/avgDist[t])\n",
    "                            for kkk, u in enumerate(shedCandidates): #checking if this shed eliminates high-pop future sheds ...\n",
    "                                if excess - unitPop[u] < -1*maxGap:\n",
    "                                    del shedScores[kkk]\n",
    "                                    del shedCandidates[kkk]\n",
    "                    ij +=1\n",
    "                if notYetPicked:\n",
    "                    giveUpOnShedding = True  #all shedcandidates would create a discontig, so can't shed enough units to square pop\n",
    "            legitSwap = False\n",
    "            if abs(excess) <= 2.*maxGap:  #giving ourselves a bit more margin after exchanges\n",
    "                contig,cContig, __, ___ = enclaveCheck(list(trySet), unitNbrs) \n",
    "                if contig and cContig:\n",
    "                    legitSwap = True\n",
    "            if legitSwap:\n",
    "                for u in shedSet:\n",
    "                    unitUse[u] -= HDweight[t] * nDistricts\n",
    "                for u in addSet:\n",
    "                    unitUse[u] += HDweight[t] * nDistricts\n",
    "                HDunitList[t] = list(trySet)\n",
    "                HDvPop[t] = np.sum([ unitPop[u] for u in HDunitList[t] ])\n",
    "                nPatchSuccess +=1\n",
    "                #print(\"we added\",addSet,\"and shed units\",shedSet,\"from HD\",t)\n",
    "            else:\n",
    "                nPatchFail +=1\n",
    "        else:  #adding neither the UUU cluster or just the UUU worked; couldn't even start\n",
    "            nCouldntStart +=1\n",
    "            # end of shed + add patching on this HD\n",
    "            #print(\"shed and patched for HD, OUU\",t,OUU)\n",
    "    \n",
    "    uList = DemUnderusedUnits.copy()\n",
    "    uList.remove(UUU)\n",
    "    GaryUse = [unitUse[u] for u in uList] \n",
    "    print(\"all done trying to reduce usage of unit\",UUU,\"final usage =\",r5(unitUse[UUU]),int(time.time()-startTime),\"sec elapsed\",\n",
    "         nPatchSuccess,nPatchFail,\"successful, failed patches, couldn't start=\",nCouldntStart)\n",
    "    currAvg, currSD = getWeightedAvgAndSD(unitUse,unitPop)\n",
    "    print(\"current avg and SD of usage are\",r5(currAvg), r5(currSD) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 302,
   "id": "a0787006-7f5c-40cd-8280-655326218dc0",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "after above patching, write these contiguous lists to a file, converting to vtd lists\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 1 if there were NO fragmented VTDs 0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "working on full or partial VTD master list for unit 0\n",
      "working on full or partial VTD master list for unit 2000\n",
      "working on full or partial VTD master list for unit 4000\n",
      "Now converting unit lists to vtd lists for all HDs\n"
     ]
    }
   ],
   "source": [
    "#THIS WORKS FOR BOTH VTD- AND UNIT-BASED (FRAG VTD) -- **NOTE: DOES NOT ADD IN CUT DISTRICTS AND REBALANCE WEIGHTS\n",
    "print(\"after above patching, write these contiguous lists to a file, converting to vtd lists\")\n",
    "noFrag = int(input(\"enter 1 if there were NO fragmented VTDs\"))  #for simple states where units are at least whole vtd's\n",
    "tList = [t for t in range(nHDs)]\n",
    "vtdList = [list() for t in range(nHDs)]\n",
    "unitVTDlist, unitFragVTDlist, unitVTDfrac = [list() for u in range(nUnits)], [list() for u in range(nUnits)], [list() for u in range(nUnits)]\n",
    "unitFullVTDlist, unitPartialVTDlist =       [list() for u in range(nUnits)], [list() for u in range(nUnits)]\n",
    "\n",
    "for u in range(nUnits):\n",
    "    if u %2000 == 0:\n",
    "        print(\"working on full or partial VTD master list for unit\",u)\n",
    "    if allUnits[u] % 1 == 0.5 :\n",
    "        c = int(allUnits[u])\n",
    "        unitVTDlist[u] = countyTractList[c].copy()\n",
    "        unitFullVTDlist[u] = countyTractList[c].copy()\n",
    "    if allUnits[u] % 1 == 0.25 :\n",
    "        CCBnumber = int(allUnits[u])\n",
    "        for c in CCBlist[CCBnumber] :\n",
    "            unitVTDlist[u] += countyTractList[c]\n",
    "            unitFullVTDlist[u] += countyTractList[c]\n",
    "    if allUnits[u] % 1 == 0:\n",
    "        if noFrag == 1:\n",
    "            unitVTDlist[u].append(allUnits[u] )\n",
    "            for i,vv in enumerate(surrounders):\n",
    "                if allUnits[u] == vv:\n",
    "                    unitVTDlist[u].append(surroundedVTDs[i])\n",
    "        else:\n",
    "            unitFragVTDlist[u].append(allUnits[u])\n",
    "            for i,vv in enumerate(surrounders):\n",
    "                if allUnits[u] == vv:\n",
    "                    unitFragVTDlist[u].append(surroundedVTDs[i])\n",
    "            vtdFrac = [0. for V in range(nVTDs)]\n",
    "            for vv in unitFragVTDlist[u]:\n",
    "                V = parentVTDno[vv]\n",
    "                if len(VTDchildren[V]) == 1:  #nonfragmented vtd\n",
    "                    vtdFrac[V] = 1.\n",
    "                else:\n",
    "                    if tractPop[V] > 0:\n",
    "                        vtdFrac[V] += fragVTDgeom[vv].area / vtdGeom[V].area #fragVTDpop[uu] / tractPop[v]  #we overwrote the frag pops earlier; can't use\n",
    "            for v in range(nVTDs):\n",
    "                if vtdFrac[v] > 0.0001:\n",
    "                    if vtdFrac[v] > 0.999:\n",
    "                        unitFullVTDlist[u].append(v)\n",
    "                    else:\n",
    "                        unitPartialVTDlist[u].append(v)\n",
    "                        unitVTDfrac[u].append(vtdFrac[v] )\n",
    "                                    \n",
    "HDpartialVTDlist, HDfullVTDlist, HDvtdFrac = [list() for t in range(nHDs)] ,[list() for t in range(nHDs)],[list() for t in range(nHDs)]               \n",
    "print(\"Now converting unit lists to vtd lists for all HDs\")\n",
    "if noFrag == 1:\n",
    "    for t in popHDlist:\n",
    "        for u in HDunitList[t]:\n",
    "            vtdList[t] += unitVTDlist[u]\n",
    "    outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDvtdList\":vtdList,\"partials\":HDpartialVTDlist,\n",
    "                           \"HDvtdFrac\":HDvtdFrac,\"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "else:\n",
    "    for t in popHDlist:\n",
    "        partialList, partialFrac = list(), list()  #for many HDs, we'll recover whole VTDs when aggregating units\n",
    "        for u in HDunitList[t]:\n",
    "            HDfullVTDlist[t] +=   unitFullVTDlist[u] \n",
    "            partialList +=         unitPartialVTDlist[u]\n",
    "            partialFrac +=          unitVTDfrac[u]\n",
    "        partialSet = set(partialList)  #non-duplicated set of partials across the HD, prepping to aggregate where possible\n",
    "        partialSetFrac, partialSetList = [0. for v in partialSet], list(partialSet)\n",
    "        for i,v in enumerate(partialList):\n",
    "            partialSetFrac[partialSetList.index(v)] += partialFrac[i]\n",
    "        for i,v in enumerate(partialSetList):\n",
    "            if partialSetFrac[i] > 0.999:  #the district has all the fragments of the original VTD contained in the HD's units\n",
    "                HDfullVTDlist[t].append(v)\n",
    "            else:\n",
    "                HDpartialVTDlist[t].append(v)\n",
    "                HDvtdFrac[t].append(      r5(partialSetFrac[i]) )  #save the aggregated fraction of this VTD across all units\n",
    "    outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDvtdList\":HDfullVTDlist,\"partials\":HDpartialVTDlist,\n",
    "                           \"HDvtdFrac\":HDvtdFrac,\"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "outname = STATE+str(int(nHDs))+\"patchedVTDsPlusGary.csv\"   #patchDown, PatchUp, PatchBoth\n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "outDF.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 303,
   "id": "8e69b281-8ee4-427c-b5c4-2b8ea8ca7f04",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now let's read in our ensemble of HD districts for IN\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter the filename with the vtd assignments to districts; e.g. MO1654contigPatchBoth.csv IN5159patchedVTDsPlusGary.csv\n",
      "enter the number of HD-drawn districts in the state; e.g. 8 9\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "This ensemble or enacted map describes 5159 drawn districts.  This state has 9 districts per map\n",
      "converting vtd list strings to vtd lists by drawn district ...\n",
      "the total weight across all rows should be 1.000, actually is 1.0\n",
      "I am assuming we already read in a 'tractPopFile' of Census vtd geoms & pops with a GEOID20 column\n",
      "translating from HD order of precinct rows to VEST order\n"
     ]
    }
   ],
   "source": [
    "print(\"Now let's read in our ensemble of HD districts for\",STATE)\n",
    "infilename = input(\"enter the filename with the vtd assignments to districts; e.g. MO1654contigPatchBoth.csv\")\n",
    "\n",
    "HDdf = pd.read_csv(\"2024state_HD_output/\"+infilename)\n",
    "nRows = len(HDdf)\n",
    "nStateDistricts = int(input(\"enter the number of HD-drawn districts in the state; e.g. 8\"))\n",
    "print(\"This ensemble or enacted map describes\",nRows,\"drawn districts.  This state has\",nStateDistricts,\"districts per map\")\n",
    "\n",
    "HDvPop = HDdf[\"HDvPop\"].to_list()\n",
    "HDweight = HDdf['HDweight'].to_list()\n",
    "#tractPop = HDdf['tractPop'].to_list()\n",
    "#statePop = np.sum(tractPop)\n",
    "tractCPx = HDdf['centroid x'].to_list()\n",
    "tractCPy = HDdf['centroid y'].to_list()\n",
    "HDvtdListString = HDdf[\"HDvtdList\"]\n",
    "print(\"converting vtd list strings to vtd lists by drawn district ...\")\n",
    "HDvtdList = [list() for t in range(nRows) ]\n",
    "for t in range(nRows):\n",
    "    if HDvtdListString[t] != \"[]\":\n",
    "        HDvtdList[t] = ast.literal_eval(HDvtdListString[t])\n",
    "\n",
    "if \"partials\" in HDdf.columns.values: #\"splitTractNo\" #.to_list():\n",
    "    splitTractList, splitTractUseList = HDdf['partials'], HDdf['HDvtdFrac']\n",
    "    splitTractNo = [ast.literal_eval(splitTractList[t])    for t in range(nRows)]\n",
    "    splitTractUse = [ast.literal_eval(splitTractUseList[t]) for t in range(nRows)]\n",
    "else :  #incoming file didn't use any partial units, only whole ones\n",
    "    splitTractNo, splitTractUse = [[] for t in range(nRows)] , [ [] for t in range(nRows)]\n",
    "\n",
    "print(\"the total weight across all rows should be 1.000, actually is\",r5(np.sum(HDweight)) )\n",
    "print(\"I am assuming we already read in a 'tractPopFile' of Census vtd geoms & pops with a GEOID20 column\")\n",
    "censusGEOID20 = list()\n",
    "for i, geoid in enumerate(tractPopFile['GEOID20']) :\n",
    "    censusGEOID20.append(str(geoid))\n",
    "#censusGEOID20 = [ str(tractPopFile['GEOID20'][i]) for i in len(tractPopFile['GEOID20']) ]\n",
    "mergedGEOID20 = list()\n",
    "for i, geoid in enumerate(mergedDF['GEOID20']) :\n",
    "    mergedGEOID20.append(str(geoid))\n",
    "#mergedGEOID20 = [ str(mergedDF['GEOID20'][i])     for i in len(mergedDF['GEOID20']) ]\n",
    "\n",
    "miniHDdf = pd.DataFrame( {\"GEOID20\":censusGEOID20} )\n",
    "vestNo = [v for v in range(nVTDs)]\n",
    "print(\"translating from HD order of precinct rows to VEST order\")\n",
    "miniVestDF = pd.DataFrame( {\"GEOID20\":mergedGEOID20, \"vestNo\":vestNo} )\n",
    "mappingDF = pd.merge(miniHDdf,miniVestDF,on=\"GEOID20\")\n",
    "vestID = mappingDF['vestNo']  #this maps each named unit in a HDVL to the correct vestNo row with voting data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 304,
   "id": "0aacd401-4686-4f9e-a9be-c2cb4cc871c3",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now, let's compute the ensemble average vote margin (GOP -  Dem total votes) for 2020 vs. true statewide result\n",
      "working on drawn district no 0\n",
      "working on drawn district no 1000\n",
      "working on drawn district no 2000\n",
      "working on drawn district no 3000\n",
      "working on drawn district no 4000\n",
      "working on drawn district no 5000\n",
      "here is the table of Dem and Rep votes, vote margin for true 2020 vs. ensemble\n",
      "true 2020: 1242499 1729857 487357\n",
      "ensemble : 1235442 1739835 504392\n",
      "the true and ensemble state GOP leans are 0.58198 0.5847639122775927\n"
     ]
    }
   ],
   "source": [
    "print(\"Now, let's compute the ensemble average vote margin (GOP -  Dem total votes) for 2020 vs. true statewide result\")\n",
    "nDrawnDistricts = len(HDweight)  #now including cut districts\n",
    "nMapDistricts = nCutDistricts + nDistricts\n",
    "nEnsembleDems, nEnsembleReps = [0.]*nYears, [0.]*nYears\n",
    "y=0\n",
    "for t in range(nDrawnDistricts):\n",
    "    if t%1000 == 0:\n",
    "        print(\"working on drawn district no\",t)\n",
    "    nEnsembleDems[y] += nMapDistricts* HDweight[t] * ( np.sum([DemVotes[y][vestID[v]] for v in HDvtdList[t] ])\n",
    "                                               + np.sum([DemVotes[y][vestID[v]] * splitTractUse[t][i] for i,v in enumerate(splitTractNo[t]) ])  )\n",
    "    nEnsembleReps[y] += nMapDistricts* HDweight[t] * ( np.sum([RepVotes[y][vestID[v]] for v in HDvtdList[t] ])\n",
    "                                               + np.sum([RepVotes[y][vestID[v]] * splitTractUse[t][i] for i,v in enumerate(splitTractNo[t]) ])  )\n",
    "\n",
    "print(\"here is the table of Dem and Rep votes, vote margin for true 2020 vs. ensemble\")\n",
    "print(\"true 2020:\",int(vestDems[y]),int(vestReps[y]),              int(vestReps[y] - vestDems[y]) )\n",
    "print(\"ensemble :\",int(nEnsembleDems[y]),int(nEnsembleReps[y]),    int(nEnsembleReps[y] - nEnsembleDems[y]) )\n",
    "print(\"the true and ensemble state GOP leans are\",r5(vestReps[y]/(vestReps[y]+vestDems[y])),\n",
    "      nEnsembleReps[y]/(nEnsembleReps[y]+nEnsembleDems[y]) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d71618b7-b832-4609-a683-a39f499224c5",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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